subject:(Passive Microwave)

Texas A&M University

1. Marter Jr., Robert Edward. Passive Microwave Precipitation Detection Biases: Relationship to Cloud Properties.

Degree: MS, Atmospheric Sciences, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/169552

► Accurate measurement of the Earth’s hydrologic cycle requires a more precise understanding of precipitation accumulation and intensity on a global scale. While there is a… (more)

▼ Accurate measurement of the Earth’s hydrologic cycle requires a more precise understanding of precipitation accumulation and intensity on a global scale. While there is a long record of passive microwave satellite measurements, passive microwave rainfall retrievals often fail to detect light precipitation or have light rain intensity biases because they cannot differentiate between emission from cloud and rain water. Previous studies have shown that AMSR-E significantly underestimates rainfall occurrence and volume compared to CloudSat. This underestimation totals just below 0.6 mm/day quasi-globally (60S-60N), but there are larger regional variations related to the dominant cloud regime. This study aims to use Moderate Resolution Imaging Spectroradiometer (MODIS) and the 94-GHz CloudSat Cloud Profiling Radar (CPR), which has a high sensitivity to light rain, with the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) observations, to help better characterize the properties of clouds that lead to passive microwave rainfall detection biases. CPR cloud and precipitation retrievals, AMSR-E Level-2B Goddard Profiling 2010 Algorithm (GPROF 2010) rainfall retrievals, and MODIS cloud properties were collocated and analyzed for 2007-2009. MODIS cloud microphysical and macrophysical properties, such as optical thickness, particle effective radius, and liquid water path were analyzed when precipitation is detected by CloudSat and missed by AMSR-E. Results are consistent with past studies and show large passive microwave precipitation detection biases compared to CloudSat in stratocumulus and shallow cumulus regimes. An examination of cases where AMSR-E failed to detect precipitation detected by CloudSat shows that warm rain detection biases occur more frequently within lower LWP, τ , and CTH bins, but biases at higher LWP, τ_ , and CTH contribute more to the total frequency of missed precipitation. Warm rain detection biases occur more frequently and biases contribute to more of the total frequency of missed precipitation for rve > 16 µ-m. Cloud property-dependent thresholds were calculated and compared against Advanced Microwave Scanning Radiometer (Earth Observing System) (AMSR-E) Goddard Profiling Algorithm (GPROF). All cloud property-dependent brightness temperature (TB) thresholds showed improvements in hit rate and volumetric hit rates. Cloud property-dependent TB thresholds were investigated to determine if thresholds can be improved by separately constraining data to environmental and cloud regimes. Descent and stratocumulus regimes, which generally consist of warm clouds, showed further improvements of warm rain detection. Results suggest that aprori knowledge of cloud property information and environmental information could significantly improve the detection of warm precipitation in GPROF retrievals. Advisors/Committee Members: Rapp, Anita D (advisor), Dessler, Andrew E (committee member), Gao, Huilin (committee member).

Subjects/Keywords: Detection; Biases; Cloud; Properties; Passive; Microwave

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APA (6^th Edition):

Marter Jr., R. E. (2017). Passive Microwave Precipitation Detection Biases: Relationship to Cloud Properties. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169552

Chicago Manual of Style (16^th Edition):

Marter Jr., Robert Edward. “Passive Microwave Precipitation Detection Biases: Relationship to Cloud Properties.” 2017. Masters Thesis, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/169552.

MLA Handbook (7^th Edition):

Marter Jr., Robert Edward. “Passive Microwave Precipitation Detection Biases: Relationship to Cloud Properties.” 2017. Web. 04 Mar 2021.

Vancouver:

Marter Jr. RE. Passive Microwave Precipitation Detection Biases: Relationship to Cloud Properties. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/169552.

Council of Science Editors:

Marter Jr. RE. Passive Microwave Precipitation Detection Biases: Relationship to Cloud Properties. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169552

University of Waterloo

2. Li, Qinghuan. The influence of winter time boreal forest tree transmissivity on tree emission and passive microwave snow observations.

Degree: 2019, University of Waterloo

URL: http://hdl.handle.net/10012/14641

► Forest cover significantly attenuates natural upwelling ground microwave emission from seasonal terrestrial snow. This presents a major challenge for the accurate retrieval of snow from… (more)

Subjects/Keywords: forest; snow; transmissivity; passive microwave; temperature

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APA (6^th Edition):

Li, Q. (2019). The influence of winter time boreal forest tree transmissivity on tree emission and passive microwave snow observations. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14641

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Li, Qinghuan. “The influence of winter time boreal forest tree transmissivity on tree emission and passive microwave snow observations.” 2019. Thesis, University of Waterloo. Accessed March 04, 2021. http://hdl.handle.net/10012/14641.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Li, Qinghuan. “The influence of winter time boreal forest tree transmissivity on tree emission and passive microwave snow observations.” 2019. Web. 04 Mar 2021.

Vancouver:

Li Q. The influence of winter time boreal forest tree transmissivity on tree emission and passive microwave snow observations. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10012/14641.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Q. The influence of winter time boreal forest tree transmissivity on tree emission and passive microwave snow observations. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14641

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

3. Harnos, Daniel. Convective structure and its evolution in tropical cyclones as observed by passive microwave sensors in relation to intensity change.

Degree: MS, 0334, 2011, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/18578

► The use of passive microwave sensors in analysis of tropical cyclones provide unique insight into the microphysical attributes and system structure opposed to other instruments… (more)

▼ The use of passive microwave sensors in analysis of tropical cyclones provide unique insight into the microphysical attributes and system structure opposed to other instruments that are only able to detect information about the cloud top. With the ability to infer information about key microphysical processes and structure at high resolution, these platforms provide a glimpse into tropical cyclone development and intensification over systems’ life cycles. In particular, passive microwave observations have the potential to depict crucial precursors of rapid intensification (RI; defined as a wind increase of 30 kt/24 hr). A dataset with a common resolution of 8 km across all channels is developed for the Special Sensor Microwave Imager (SSM/I) from 1987-2008 and Tropical Rainfall Measuring Mission Microwave Imager (TMI) for 1997-2008. Statistical metrics are calculated for each storm overpass using 85 GHz and 37 GHz polarization corrected temperatures as well as microwave rain rate estimates. These products are examined as a function of azimuth and annuli in true-north, storm-relative motion, and shear-relative coordinates and evaluated in terms of intensity (wind speed) and intensity change (wind speed change over time). To examine predictive potential of these sensors, the brightness temperature statistics are evaluated in terms of linear correlations between intensity and its change. Highest values occur on the order of 0.7, and are seen at radii of 110 km between median values for 85 GHz PCT and rain rates with observed intensity. An increase in skill is evident following the initial satellite overpass, suggesting a lag between latent heating at the time of overpass and the resultant intensification. Despite this, correlation is consistently less skillful for evaluations of intensity change with values at short time changes of around 0.3. The distribution of statistical values are also evaluated in the context of the dataset with median values at the 110 km distance showing the greatest distinction of 85 GHz PCTs and rain rates for storms at the onset of RI and those that are not, with less variation seen for percentiles > 90% that are indicative of isolated convective activity. With the differentiation in structure noted between RI and non-RI storms, composites are created for each of the brightness temperature products, with a distinct modest convective ring structure evident at the onset of RI that is not present in the non-RI class. Over time this convective ring shows a tendency to contract and intensify over the 24 hour period examined for RI, with the increased latent heating over a more focused area acting to increase the system intensity. Through these evaluations the continued importance spatial convective coverage and axisymmetricization is underscored in intensity and intensity change evaluation, with a lack of signal seen in more isolated convective predictors. Advisors/Committee Members: Nesbitt, Stephen W. (advisor).

Subjects/Keywords: tropical cyclones; passive microwave sensors; rapid intensification

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APA (6^th Edition):

Harnos, D. (2011). Convective structure and its evolution in tropical cyclones as observed by passive microwave sensors in relation to intensity change. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18578

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Harnos, Daniel. “Convective structure and its evolution in tropical cyclones as observed by passive microwave sensors in relation to intensity change.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed March 04, 2021. http://hdl.handle.net/2142/18578.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Harnos, Daniel. “Convective structure and its evolution in tropical cyclones as observed by passive microwave sensors in relation to intensity change.” 2011. Web. 04 Mar 2021.

Vancouver:

Harnos D. Convective structure and its evolution in tropical cyclones as observed by passive microwave sensors in relation to intensity change. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2142/18578.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Harnos D. Convective structure and its evolution in tropical cyclones as observed by passive microwave sensors in relation to intensity change. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18578

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Manitoba

4. Miller, Brian. Soil Moisture, vegetation and surface roughness impacts on high resolution L-band microwave emissivity from cropped land during SMAPVEX12.

Degree: Soil Science, 2016, University of Manitoba

URL: http://hdl.handle.net/1993/31210

► The SMAPVEX12 (Soil Moisture Active/Passive Validation Experiment 2012) was carried out over the summer of 2012 in Manitoba, Canada. The goal of the project was… (more)

▼ The SMAPVEX12 (Soil Moisture Active/Passive Validation Experiment 2012) was carried out over the summer of 2012 in Manitoba, Canada. The goal of the project was to improve the accuracy of satellite-based remote sensing of soil moisture. Data were gathered during a 42-day field campaign with surface measurements on 55 different agricultural fields in south-central Manitoba. The extended duration of the campaign, contrast in soil textures, and variety of crop types over the study region provided an excellent range of soil moisture and vegetation conditions. The study fields ranged from bare to fully vegetated, with volumetric soil moisture levels spanning a range of almost 50%. Remotely sensed data were collected on 17 days by aircraft at 1.4 Ghz with a microwave radiometer at two different resolutions. Observed brightness temperatures from the radiometer showed a typical inverse relationship to the near simultaneous soil moisture measurements from the field. Field-by-field relationships using all sampling dates with both soil and emissivity data were all shown to be significant with the exception of two of the pasture fields and a soybean field. Linear regressions across multiple fields and by flight lines also had statistically significant slopes. The significance of all these relationships improved with the removal of pasture fields from the analysis. On most fields, the sensitivity (slope) of the relationship and correlation coefficient (R2) between emissivity and observed soil moisture increased when vegetation and roughness effects were taken into account. The b parameter that relates vegetation water content to optical depth in the tau-omega model was optimized using the collective slope and R2 values of the individual fields. A b parameter value of 0.06 for horizontal polarization and 0.13 for vertical polarization were found to be optimal across the range of all fields in this analysis. Advisors/Committee Members: Bullock, Paul (Soil Science) Lobb, David (Soil Science) Walker, David (Geography) (supervisor), Bullock, Paul (Soil Science) Lobb, David (Soil Science) Walker, David (Geography) (examiningcommittee).

Subjects/Keywords: Passive microwave; Soil moisture; SMAP; Radiometer; L-band microwave; Agriculture

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APA (6^th Edition):

Miller, B. (2016). Soil Moisture, vegetation and surface roughness impacts on high resolution L-band microwave emissivity from cropped land during SMAPVEX12. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31210

Chicago Manual of Style (16^th Edition):

Miller, Brian. “Soil Moisture, vegetation and surface roughness impacts on high resolution L-band microwave emissivity from cropped land during SMAPVEX12.” 2016. Masters Thesis, University of Manitoba. Accessed March 04, 2021. http://hdl.handle.net/1993/31210.

MLA Handbook (7^th Edition):

Miller, Brian. “Soil Moisture, vegetation and surface roughness impacts on high resolution L-band microwave emissivity from cropped land during SMAPVEX12.” 2016. Web. 04 Mar 2021.

Vancouver:

Miller B. Soil Moisture, vegetation and surface roughness impacts on high resolution L-band microwave emissivity from cropped land during SMAPVEX12. [Internet] [Masters thesis]. University of Manitoba; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1993/31210.

Council of Science Editors:

Miller B. Soil Moisture, vegetation and surface roughness impacts on high resolution L-band microwave emissivity from cropped land during SMAPVEX12. [Masters Thesis]. University of Manitoba; 2016. Available from: http://hdl.handle.net/1993/31210

University of Waterloo

5. Saberi, Nastaran. Snow Properties Retrieval Using Passive Microwave Observations.

Degree: 2019, University of Waterloo

URL: http://hdl.handle.net/10012/14582

► Seasonal snow cover, the second-largest component of the cryosphere, is crucial in controlling the climate system, through its important role in modifying Earth’s albedo. The… (more)

▼ Seasonal snow cover, the second-largest component of the cryosphere, is crucial in controlling the climate system, through its important role in modifying Earth’s albedo. The temporal variability of snow extent and its physical properties in the seasonal cycle also make up a significant element to the cryospheric energy balance. Thus, seasonal snowcover should be monitored not only for its climatological impacts but also for its rolein the surface-water supply, ground-water recharge, and its insolation properties at local scales. Snowpack physical properties strongly influence the emissions from the substratum, making feasible snow property retrieval by means of the surface brightness temperature observed by passive microwave sensors. Depending on the observing spatial resolution, the time series records of daily snow coverage and a snowpacks most-critical properties such as the snow depth and snow water equivalent (SWE) could be helpful in applications ranging from modeling snow variations in a small catchment to global climatologic studies. However, the challenge of including spaceborne snow water equivalent (SWE) products in operational hydrological and hydroclimate modeling applications is very demanding with limited uptake by these systems. Various causes have been attributed to this lack of up-take but most stem from insufficient SWE accuracy. The root causes of this challenge includes the coarse spatial resolution of passive microwave (PM) observations that observe highly aggregated snowpack properties at the spaceborne scale, and inadequacies during the retrieval process that are caused by uncertainties with the forward emission modeling of snow and challenges to find robust parameterizations of the models. While the spatial resolution problem is largely in the realm of engineering design and constrained by physical restrictions, a better understanding of the whole range of retrieval methodologies can provide the clarity needed to move the thinking forward in this important field. Following a review on snow depth and SWE retrieval methods using passive microwave remote sensing observations, this research employs a forward emission model to simulate snowpacks emission and compare the results to the PM airborne observations. Airborne radiometer observations coordinated with ground-based in-situ snow measurements were acquired in the Canadian high Arctic near Eureka, NT, in April 2011. The observed brightness temperatures (Tb) at 37 GHz from typical moderate density dry snow in mid-latitudes decreases with increasing snow water equivalent (SWE) due to the volume scattering of the ground emissions by the overlying snow. At a certain point, however, as SWE increases, the emission from the snowpack offsets the scattering of the sub-nivean emission. In tundra snow, the Tb slope reversal occurs at shallower snow thicknesses. While it has been postulated that the inflection point in the seasonal time series of observed Tb V 37 GHz of tundra snow…

Subjects/Keywords: Retrievals; SWE; Emission Model; Passive Microwave; Inversion; Monte Carlo Markov Chain

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APA (6^th Edition):

Saberi, N. (2019). Snow Properties Retrieval Using Passive Microwave Observations. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14582

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Saberi, Nastaran. “Snow Properties Retrieval Using Passive Microwave Observations.” 2019. Thesis, University of Waterloo. Accessed March 04, 2021. http://hdl.handle.net/10012/14582.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Saberi, Nastaran. “Snow Properties Retrieval Using Passive Microwave Observations.” 2019. Web. 04 Mar 2021.

Vancouver:

Saberi N. Snow Properties Retrieval Using Passive Microwave Observations. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10012/14582.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saberi N. Snow Properties Retrieval Using Passive Microwave Observations. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14582

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Guelph

6. Champagne, Catherine. Evaluation of Agricultural Soil Moisture Extremes in Canada Using Passive Microwave Remote Sensing.

Degree: PhD, Department of Geography, 2011, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/2918

► This research examines the potential to use passive microwave remote sensing for measuring soil moisture extremes that impact agricultural areas in Canada. A validation was… (more)

Subjects/Keywords: remote sensing; soil moisture; passive microwave; agriculture; drought

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APA (6^th Edition):

Champagne, C. (2011). Evaluation of Agricultural Soil Moisture Extremes in Canada Using Passive Microwave Remote Sensing. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/2918

Chicago Manual of Style (16^th Edition):

Champagne, Catherine. “Evaluation of Agricultural Soil Moisture Extremes in Canada Using Passive Microwave Remote Sensing.” 2011. Doctoral Dissertation, University of Guelph. Accessed March 04, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/2918.

MLA Handbook (7^th Edition):

Champagne, Catherine. “Evaluation of Agricultural Soil Moisture Extremes in Canada Using Passive Microwave Remote Sensing.” 2011. Web. 04 Mar 2021.

Vancouver:

Champagne C. Evaluation of Agricultural Soil Moisture Extremes in Canada Using Passive Microwave Remote Sensing. [Internet] [Doctoral dissertation]. University of Guelph; 2011. [cited 2021 Mar 04]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/2918.

Council of Science Editors:

Champagne C. Evaluation of Agricultural Soil Moisture Extremes in Canada Using Passive Microwave Remote Sensing. [Doctoral Dissertation]. University of Guelph; 2011. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/2918

Delft University of Technology

7. Keunen, Oscar (author). Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:4ece297e-b285-48fb-b430-59cf9b22bb8a

►

Humans have always populated in the vicinity of river systems, where thesupply of water, nourishment and transportation is obtained from the river.However, inundation is a… (more)

▼

Humans have always populated in the vicinity of river systems, where thesupply of water, nourishment and transportation is obtained from the river.However, inundation is a re-occurring problem and impact of floods are ex-pected to increase due to climate change. Accurate flood forecasting andearly warning is critical for disaster risk management. Tackling the problemof forecasting, in data scarce environments, has become increasingly impor-tant due to the changing climate. Remotely sensed river monitoring can bean effective, systematic and time-efficient technique to monitor and forecastextreme floods. Conventional flood forecasting systems require extensivedata inputs and software to model floods. Moreover, most models rely ondischarge data, which is not always available and is less accurate in a over-bank flow situations. There is a need for an alternative method which de-tects riverine inundation, using open-source data and software. This thesisaims to research the use of passive microwave radiometry for the detection,classification and forecasting of inundation.Brightness temperatures are extracted from the passive microwave radiom-etry and are converted in a discharge estimator: the C/M-ratio. Surfacewater has a low emission, thus let the C/M-ratio increase as the surfacewater percentage in the pixel increases. Sharp increases are observed forover-bank flow conditions. The research combines the identification of in-undation with a probability analysis via a quantile regressional fit. Floodforecasts can be obtained from an upstream catchment area. In the mostideal situation with a delay of2,5hours. This allows for probabilistic earlywarning decision making, with a lead time up to14days. (location specific)Strong Spearmans correlation coefficients between the discharge and C/M-ratio are found (>0.883). Allowing the model to forecast floods as gaugeddischarge records do. The model used has a comparable skill to the localGloFas forecast. This research investigated the impact the remote sensedtechnology could have on the flood forecast, response and warning system.An added model to an Early Action Protocol has the ability to lower uncer-tainty within decision making and enlarges the intervention window. Theadvice is to use such a model in combination with other forecasting modelssuch as GloFas.The challenge using this technology is the integration of hydrological com-plexity. The method allows for automated, global-covered creation of gridbased flood forecasts, independent to cloud coverage. Creating low spatialresolution flood forecasts combined with a probability bound in hours aftersatellite detection. The method has a high potential for data scarce flood-prone river basins around the world. The future for this technology lies inthe global daily availability of the data. With satellite sensors improving,spatial resolution is expected to increase. Allowing for even better floodforecasting ability.

Water Management

Advisors/Committee Members: Winsemius, Hessel (mentor), Comes, Tina (mentor), Hulsman, Petra (mentor), van der Ent, Ruud (mentor), van den Homberg, Marc (mentor), Giodini, Stefania (mentor), Delft University of Technology (degree granting institution).

Subjects/Keywords: Passive microwave remote sensing; Satellite data processing; flood forecasting

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APA (6^th Edition):

Keunen, O. (. (2020). Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4ece297e-b285-48fb-b430-59cf9b22bb8a

Chicago Manual of Style (16^th Edition):

Keunen, Oscar (author). “Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia.” 2020. Masters Thesis, Delft University of Technology. Accessed March 04, 2021. http://resolver.tudelft.nl/uuid:4ece297e-b285-48fb-b430-59cf9b22bb8a.

MLA Handbook (7^th Edition):

Keunen, Oscar (author). “Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia.” 2020. Web. 04 Mar 2021.

Vancouver:

Keunen O(. Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 04]. Available from: http://resolver.tudelft.nl/uuid:4ece297e-b285-48fb-b430-59cf9b22bb8a.

Council of Science Editors:

Keunen O(. Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:4ece297e-b285-48fb-b430-59cf9b22bb8a

University of Manitoba

8. Harasyn, Madison Leigh. Integrated passive microwave and unmanned aerial vehicle studies of Hudson Bay sea ice during the summer melt period.

Degree: Environment and Geography, 2019, University of Manitoba

URL: http://hdl.handle.net/1993/34021

► Inaccuracies in sea ice observations from passive microwave satellite sensors increase during the summer melt period due to the evolution of sea ice thermophysical properties… (more)

Subjects/Keywords: Sea ice; Passive microwave; Unmanned aerial vehicle; Remote sensing; Hudson Bay

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APA (6^th Edition):

Harasyn, M. L. (2019). Integrated passive microwave and unmanned aerial vehicle studies of Hudson Bay sea ice during the summer melt period. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/34021

Chicago Manual of Style (16^th Edition):

Harasyn, Madison Leigh. “Integrated passive microwave and unmanned aerial vehicle studies of Hudson Bay sea ice during the summer melt period.” 2019. Masters Thesis, University of Manitoba. Accessed March 04, 2021. http://hdl.handle.net/1993/34021.

MLA Handbook (7^th Edition):

Harasyn, Madison Leigh. “Integrated passive microwave and unmanned aerial vehicle studies of Hudson Bay sea ice during the summer melt period.” 2019. Web. 04 Mar 2021.

Vancouver:

Harasyn ML. Integrated passive microwave and unmanned aerial vehicle studies of Hudson Bay sea ice during the summer melt period. [Internet] [Masters thesis]. University of Manitoba; 2019. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1993/34021.

Council of Science Editors:

Harasyn ML. Integrated passive microwave and unmanned aerial vehicle studies of Hudson Bay sea ice during the summer melt period. [Masters Thesis]. University of Manitoba; 2019. Available from: http://hdl.handle.net/1993/34021

Colorado State University

9. Duncan, David Ian. Exploring the limits of variational passive microwave retrievals.

Degree: PhD, Atmospheric Science, 2017, Colorado State University

URL: http://hdl.handle.net/10217/183906

► Passive microwave observations from satellite platforms constitute one of the most important data records of the global observing system. Operational since the late 1970s, passive… (more)

▼ Passive microwave observations from satellite platforms constitute one of the most important data records of the global observing system. Operational since the late 1970s, passive microwave data underpin climate records of precipitation, sea ice extent, water vapor, and more, and contribute significantly to numerical weather prediction via data assimilation. Detailed understanding of the observation errors in these data is key to maximizing their utility for research and operational applications alike. However, the treatment of observation errors in this data record has been lacking and somewhat divergent when considering the retrieval and data assimilation communities. In this study, some limits of passive microwave imager data are considered in light of more holistic treatment of observation errors. A variational retrieval, named the CSU 1DVAR, was developed for microwave imagers and applied to the GMI and AMSR2 sensors for ocean scenes. Via an innovative method to determine forward model error, this retrieval accounts for error covariances across all channels used in the iteration. This improves validation in more complex scenes such as high wind speed and persistently cloudy regimes. In addition, it validates on par with a benchmark dataset without any tuning to in-situ observations. The algorithm yields full posterior error diagnostics and its physical forward model is applicable to other sensors, pending intercalibration. This retrieval is used to explore the viability of retrieving parameters at the limits of the available information content from a typical microwave imager. Retrieval of warm rain, marginal sea ice, and falling snow are explored with the variational retrieval. Warm rain retrieval shows some promise, with greater sensitivity than operational GPM algorithms due to leveraging CloudSat data and accounting for drop size distribution variability. Marginal sea ice is also detected with greater sensitivity than a standard operational retrieval. These studies ultimately show that while a variational algorithm maximizes the effective signal to noise ratio of these observations, hard limitations exist due to the finite information content afforded by a typical microwave imager. Advisors/Committee Members: Kummerow, Christian D. (advisor), Boukabara, Sid-Ahmed (committee member), O'Dell, Christopher W. (committee member), Reising, Steven C. (committee member), Rutledge, Steven A. (committee member), Schumacher, Russ S. (committee member).

Subjects/Keywords: remote sensing; variational methods; satellite meteorology; passive microwave

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APA (6^th Edition):

Duncan, D. I. (2017). Exploring the limits of variational passive microwave retrievals. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/183906

Chicago Manual of Style (16^th Edition):

Duncan, David Ian. “Exploring the limits of variational passive microwave retrievals.” 2017. Doctoral Dissertation, Colorado State University. Accessed March 04, 2021. http://hdl.handle.net/10217/183906.

MLA Handbook (7^th Edition):

Duncan, David Ian. “Exploring the limits of variational passive microwave retrievals.” 2017. Web. 04 Mar 2021.

Vancouver:

Duncan DI. Exploring the limits of variational passive microwave retrievals. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10217/183906.

Council of Science Editors:

Duncan DI. Exploring the limits of variational passive microwave retrievals. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/183906

Delft University of Technology

10. Neisingh, Wouter (author). Unveiling inundations: Inundation mapping in a dynamic, data-scarce environment using Ka-band passive microwave radiometry. Ouémé Delta, Benin.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:b30120d6-5713-4763-af31-28948cd99bd8

► A large part of the world population lives in deltas or in the vicinity of a river which provides many advantages, such as access to… (more)

▼ A large part of the world population lives in deltas or in the vicinity of a river which provides many advantages, such as access to transportation, food and drinking water. Inundating floodplains are a natural and recurring phenomenon which is for instance a way to irrigate soils, but drawbacks occur when people or infrastructure are harmed by (extreme) inundations. Developing countries in Africa and Asia are the regions expected to experience the largest increase in impact of inundations in the coming decades. Conventional flood risk studies can effectively analyse (fluvial) inundations, but require considerable and sometimes complex data and software, which is not always available, in particular in the aforementioned regions in Africa and Asia. Additionally, these studies often rely on discharge data, which is not always available and becomes less accurate for extreme discharge when the river banks overflow. Furthermore, even when data is available, this might only be granted after long, bureaucratic procedures. Elevation data is available from publicly available models, but the horizontal and vertical resolution often does not suffice. Therefore, there is a need for an alternative method to analyse fluvial inundations that is more independent and uses open source data and software. Moreover this method needs to provide information on a high temporal resolution (daily) because of the dynamic behaviour of inundations. The spatial resolution should be as high as possible, given the limitations of temporal resolution. This research focuses on detecting, estimating and mapping inundations in the Ouémé delta (Benin, West-Africa) to retrieve information about extent and timing of inundations and analyse how inundations developed over time by means of satellite remote sensing imagery and open source data and software. Furthermore, it aims to investigate how upstream precipitation (causing fluvial inundations) and population in the Ouémé delta (subjected to the effects of inundations) developed over the past decades to make a first step towards analysing the impact of inundations. To answer the research questions an Inundation Extent Mapping Model (IEMM) is developed to detect inundations, estimate the inundation scale and subsequently allocate the estimated surface water fraction in an area of interest (the measurement cell). First an inundation detection method is developed and tested (CMC-ratio), which relies on scaling a measurement cell between a (dry) calibration cell and an additional (wet) calibration cell. Second, the inundation scale estimate of the CMC-ratio is validated with MODIS optical remote sensing imagery and improved by developing and testing various scale estimation methods. Third, the estimated scale is allocated by comparing different elevation maps (MERIT DEM and HAND) and mapping methods. The outcome of the IEMM is compared to discharge to obtain information about timing of inundations and confirms that the IEMM is increasingly sensitive to larger inundations whereas discharge measurements are… Advisors/Committee Members: Steele-Dunne, Susan (mentor), van de Giesen, Nick (mentor), Kok, Matthijs (mentor), Tonneijck, M.R. (mentor), Delft University of Technology (degree granting institution).

Subjects/Keywords: Flood Risk; Benin; Remote Sensing; Inundation; Passive microwave remote sensing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Neisingh, W. (. (2018). Unveiling inundations: Inundation mapping in a dynamic, data-scarce environment using Ka-band passive microwave radiometry. Ouémé Delta, Benin. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b30120d6-5713-4763-af31-28948cd99bd8

Chicago Manual of Style (16^th Edition):

Neisingh, Wouter (author). “Unveiling inundations: Inundation mapping in a dynamic, data-scarce environment using Ka-band passive microwave radiometry. Ouémé Delta, Benin.” 2018. Masters Thesis, Delft University of Technology. Accessed March 04, 2021. http://resolver.tudelft.nl/uuid:b30120d6-5713-4763-af31-28948cd99bd8.

MLA Handbook (7^th Edition):

Neisingh, Wouter (author). “Unveiling inundations: Inundation mapping in a dynamic, data-scarce environment using Ka-band passive microwave radiometry. Ouémé Delta, Benin.” 2018. Web. 04 Mar 2021.

Vancouver:

Neisingh W(. Unveiling inundations: Inundation mapping in a dynamic, data-scarce environment using Ka-band passive microwave radiometry. Ouémé Delta, Benin. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 04]. Available from: http://resolver.tudelft.nl/uuid:b30120d6-5713-4763-af31-28948cd99bd8.

Council of Science Editors:

Neisingh W(. Unveiling inundations: Inundation mapping in a dynamic, data-scarce environment using Ka-band passive microwave radiometry. Ouémé Delta, Benin. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:b30120d6-5713-4763-af31-28948cd99bd8

11. Hunsaker, Adam George. EVALUATION OF SATELLITE-BASED OBSERVATIONS FOR CAPTURING EARLY WINTER SNOWMELT.

Degree: MS, 2017, University of New Hampshire

URL: https://scholars.unh.edu/thesis/1103

► Over the past fifty years’ global climate change has altered various environmental processes. Due to global climate change, mid-winter snowmelt is occurring more frequently throughout… (more)

Subjects/Keywords: flooding; passive microwave; snowmelt; Remote sensing; Water resources management

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hunsaker, A. G. (2017). EVALUATION OF SATELLITE-BASED OBSERVATIONS FOR CAPTURING EARLY WINTER SNOWMELT. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Hunsaker, Adam George. “EVALUATION OF SATELLITE-BASED OBSERVATIONS FOR CAPTURING EARLY WINTER SNOWMELT.” 2017. Thesis, University of New Hampshire. Accessed March 04, 2021. https://scholars.unh.edu/thesis/1103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Hunsaker, Adam George. “EVALUATION OF SATELLITE-BASED OBSERVATIONS FOR CAPTURING EARLY WINTER SNOWMELT.” 2017. Web. 04 Mar 2021.

Vancouver:

Hunsaker AG. EVALUATION OF SATELLITE-BASED OBSERVATIONS FOR CAPTURING EARLY WINTER SNOWMELT. [Internet] [Thesis]. University of New Hampshire; 2017. [cited 2021 Mar 04]. Available from: https://scholars.unh.edu/thesis/1103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hunsaker AG. EVALUATION OF SATELLITE-BASED OBSERVATIONS FOR CAPTURING EARLY WINTER SNOWMELT. [Thesis]. University of New Hampshire; 2017. Available from: https://scholars.unh.edu/thesis/1103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Guelph

12. White, Jenelle. Evaluating the Utility of Passive Microwave-Derived Soil Moisture Estimates for Forecasting Canola Yields across the Canadian Prairies.

Degree: MS, Department of Geography, Environment and Geomatics, 2018, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14152

► Soil moisture is a key variable in the determination of crop yields in arid regions around the world. While in-situ soil moisture measurements are sparsely-distributed,… (more)

Subjects/Keywords: Soil moisture; SMOS; Canola; Yield Forecasting; Canadian Prairies; Passive microwave; Climate

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APA (6^th Edition):

White, J. (2018). Evaluating the Utility of Passive Microwave-Derived Soil Moisture Estimates for Forecasting Canola Yields across the Canadian Prairies. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14152

Chicago Manual of Style (16^th Edition):

White, Jenelle. “Evaluating the Utility of Passive Microwave-Derived Soil Moisture Estimates for Forecasting Canola Yields across the Canadian Prairies.” 2018. Masters Thesis, University of Guelph. Accessed March 04, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14152.

MLA Handbook (7^th Edition):

White, Jenelle. “Evaluating the Utility of Passive Microwave-Derived Soil Moisture Estimates for Forecasting Canola Yields across the Canadian Prairies.” 2018. Web. 04 Mar 2021.

Vancouver:

White J. Evaluating the Utility of Passive Microwave-Derived Soil Moisture Estimates for Forecasting Canola Yields across the Canadian Prairies. [Internet] [Masters thesis]. University of Guelph; 2018. [cited 2021 Mar 04]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14152.

Council of Science Editors:

White J. Evaluating the Utility of Passive Microwave-Derived Soil Moisture Estimates for Forecasting Canola Yields across the Canadian Prairies. [Masters Thesis]. University of Guelph; 2018. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14152

Delft University of Technology

13. Ioannidou, Eleni (author). Detection of Drought, Flood and Snow Anomalies with 37GHz Passive Microwave Space-borne Data: The SSM/I case study over Europe.

Degree: 2019, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:f01d3ab2-a706-4847-ba76-43fd0c983d04

►

Europe is a continent with diverse climatic conditions. The dominant climates are the Oceanic, the Mediterranean and the Continental ones. The western part of Europe… (more)

▼

Europe is a continent with diverse climatic conditions. The dominant climates are the Oceanic, the Mediterranean and the Continental ones. The western part of Europe has an oceanic climate, southern Europe has a Mediterranean climate and eastern Europe has a continental climate. Because of such heterogeneities, a vast range of extreme climatic events might occur in different areas. We define extreme climatic events the droughts, floods and heavy snowfall. Those events will be generically referred to in this research as anomalies. The purpose of this study is the identification of these extreme climatic events in the area of Europe, with the use of Special Sensor Microwave Imager (SSM/I) data at 37GHz frequency. The data that are used are Brightness Temperature (TB) values. The detection of the events will be achieved with the Polarization Difference Brightness Temperature (PDBT). The PDBT values can be related to changes to surface wetness and the surface geometry. It could be used as an indicator of an anomaly, because the higher the values of PDBT the higher the surface wetness. The methodological steps of the work consist in a statistical analysis of the SSM/I time-series, in the design of a detection algorithm of the anomalies under investigation and on the debate of its performance. The analysis of the temporally long SSM/I data will provide a first understanding of the data sensitivity to events under investigation and of their distribution for the statistical modelling of the Normalized Polarization Difference Brightness Temperature (NPDBT) indicator. The calculation of the NPDBT exploits the same principles as the well-known z-score index. The detection of the anomalies will be then achieved through thresholding the NPDBT index. Further information for the detection of anomalies is provided by the soil moisture time series from the Soil Moisture Active Passive (SMAP) sensor and the precipitation data from the Global Satellite Mapping of Precipitation (GSMAP). The soil moisture data appear to be more useful for the dry events, whereas the precipitation data for the flooding and the heavy snowfall events.

Geoscience and Remote Sensing

Advisors/Committee Members: van de Giesen, Nick (mentor), Steele-Dunne, Susan (graduation committee), Iannini, Lorenzo (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: SSM/I 37GHz; Passive microwave remote sensing; Detection of anomalies

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ioannidou, E. (. (2019). Detection of Drought, Flood and Snow Anomalies with 37GHz Passive Microwave Space-borne Data: The SSM/I case study over Europe. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f01d3ab2-a706-4847-ba76-43fd0c983d04

Chicago Manual of Style (16^th Edition):

Ioannidou, Eleni (author). “Detection of Drought, Flood and Snow Anomalies with 37GHz Passive Microwave Space-borne Data: The SSM/I case study over Europe.” 2019. Masters Thesis, Delft University of Technology. Accessed March 04, 2021. http://resolver.tudelft.nl/uuid:f01d3ab2-a706-4847-ba76-43fd0c983d04.

MLA Handbook (7^th Edition):

Ioannidou, Eleni (author). “Detection of Drought, Flood and Snow Anomalies with 37GHz Passive Microwave Space-borne Data: The SSM/I case study over Europe.” 2019. Web. 04 Mar 2021.

Vancouver:

Ioannidou E(. Detection of Drought, Flood and Snow Anomalies with 37GHz Passive Microwave Space-borne Data: The SSM/I case study over Europe. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 04]. Available from: http://resolver.tudelft.nl/uuid:f01d3ab2-a706-4847-ba76-43fd0c983d04.

Council of Science Editors:

Ioannidou E(. Detection of Drought, Flood and Snow Anomalies with 37GHz Passive Microwave Space-borne Data: The SSM/I case study over Europe. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:f01d3ab2-a706-4847-ba76-43fd0c983d04

The Ohio State University

14. Vander Jagt, Benjamin J. On the characterization of subpixel effects for passive microwave remote sensing of snow in montane environments.

Degree: PhD, Geodetic Science and Surveying, 2015, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1449233895

► Snow and its water equivalent plays a vital role in global water and energy balances, with particular relevance in mountainous areas with arid and semi-arid… (more)

▼ Snow and its water equivalent plays a vital role in global water and energy balances, with particular relevance in mountainous areas with arid and semi-arid climate regimes. Spaceborne passive microwave (PM) remote sensing measurements are attractive for snowpack characterization due to their continuous global coverage and historical record; over 30 years of research has been invested in the development of methods to characterize large-scale snow water resources from PM-based measurements. Historically, use of PM data for snowpack characterization in montane enviroments has been obstructed by the complex subpixel variability of snow properties within the PM measurement footprint. The main subpixel effects can be grouped as: the effect of snow microstructure (e.g. snow grain size) and stratigraphy on snow microwave emission, vegetation attenuation of PM measurements, and the sensitivity PM brightness temperature (Tb) observation to the variability of different subpixel properties at spaceborne measurement scales. This dissertation is focused on a systematic examination of these issues, which thus far have prevented the widespread integration of snow water equivalent (SWE) retrieval methods. It is meant to further our comprehension of the underlying processes at work in these rugged, remote, a hydrologically important areas. The role that snow microstructure plays in the PM retrievals of SWE is examined first. Traditional estimates of grain size are subjective and prone to error. Objective techniques to characterize grain size are described and implemented, including near infrared (NIR), stereology, and autocorrelation based approaches. Results from an intensive Colorado field study in which independent estimates of grain size and their modeled brightness temperature (Tb) emission are evaluated against PM Tb observations are included. The coarse resolution of the passive microwave measurements provides additional challenges when trying to resolve snow states via remote sensing observations. The natural heterogeneity of snowpack (e.g. depth, stratigraphy, etc) and vegetative states within the PM footprint occurs at spatial scales smaller than PM observation scales. The sensitivity to changes in snow depth given sub-pixel variability in snow and vegetation is explored and quantified using the comprehensive dataset acquired during the Cold Land Processes experiment (CLPX). Lastly, vegetation has long been an obstacle in efforts to derive snow depth and mass estimates from passive microwave (PM) measurements of brightness temperature (Tb). We introduce a vegetation transmissivity model that is derived entirely from multi-scale and multi-temporal PM Tb observations and a globally available vegetation dataset, specifically the Leaf Area Index (LAI). This newly constructed model characterizes the attenuation of PM Tb observations at frequencies typically employed for snow retrieval algorithms, as a function of LAI. Additionally, the model is used to predict how much SWE is observable within the major river basins of Colorado… Advisors/Committee Members: Durand, Michael (Advisor).

Subjects/Keywords: Hydrologic Sciences; Hydrology; Snow; Passive microwave remote sensing; Hydrology; Scaling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Vander Jagt, B. J. (2015). On the characterization of subpixel effects for passive microwave remote sensing of snow in montane environments. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1449233895

Chicago Manual of Style (16^th Edition):

Vander Jagt, Benjamin J. “On the characterization of subpixel effects for passive microwave remote sensing of snow in montane environments.” 2015. Doctoral Dissertation, The Ohio State University. Accessed March 04, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1449233895.

MLA Handbook (7^th Edition):

Vander Jagt, Benjamin J. “On the characterization of subpixel effects for passive microwave remote sensing of snow in montane environments.” 2015. Web. 04 Mar 2021.

Vancouver:

Vander Jagt BJ. On the characterization of subpixel effects for passive microwave remote sensing of snow in montane environments. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2021 Mar 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1449233895.

Council of Science Editors:

Vander Jagt BJ. On the characterization of subpixel effects for passive microwave remote sensing of snow in montane environments. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1449233895

University of Central Florida

15. Clymer, Bradley. Microwave Radiometer (MWR) Evaluation of Multi-Beam Satellite Antenna Boresight Pointing Using Land-Water Crossings, for the Aquarius/SAC-D Mission.

Degree: 2015, University of Central Florida

URL: https://stars.library.ucf.edu/etd/63

► This research concerns the CONAE Microwave Radiometer (MWR), on board the Aquarius/SAC-D platform. MWR's main purpose is to provide measurements that are simultaneous and spatially… (more)

Subjects/Keywords: Microwave radiometry; passive microwave remote sensing; calibration; geolocation; Electrical and Computer Engineering; Electrical and Electronics; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Clymer, B. (2015). Microwave Radiometer (MWR) Evaluation of Multi-Beam Satellite Antenna Boresight Pointing Using Land-Water Crossings, for the Aquarius/SAC-D Mission. (Masters Thesis). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/63

Chicago Manual of Style (16^th Edition):

Clymer, Bradley. “Microwave Radiometer (MWR) Evaluation of Multi-Beam Satellite Antenna Boresight Pointing Using Land-Water Crossings, for the Aquarius/SAC-D Mission.” 2015. Masters Thesis, University of Central Florida. Accessed March 04, 2021. https://stars.library.ucf.edu/etd/63.

MLA Handbook (7^th Edition):

Clymer, Bradley. “Microwave Radiometer (MWR) Evaluation of Multi-Beam Satellite Antenna Boresight Pointing Using Land-Water Crossings, for the Aquarius/SAC-D Mission.” 2015. Web. 04 Mar 2021.

Vancouver:

Clymer B. Microwave Radiometer (MWR) Evaluation of Multi-Beam Satellite Antenna Boresight Pointing Using Land-Water Crossings, for the Aquarius/SAC-D Mission. [Internet] [Masters thesis]. University of Central Florida; 2015. [cited 2021 Mar 04]. Available from: https://stars.library.ucf.edu/etd/63.

Council of Science Editors:

Clymer B. Microwave Radiometer (MWR) Evaluation of Multi-Beam Satellite Antenna Boresight Pointing Using Land-Water Crossings, for the Aquarius/SAC-D Mission. [Masters Thesis]. University of Central Florida; 2015. Available from: https://stars.library.ucf.edu/etd/63

16. Vuyovich, Carrie Micheline. PASSIVE MICROWAVE SATELLITE SNOW OBSERVATIONS FOR HYDROLOGIC APPLICATIONS.

Degree: PhD, 2016, University of New Hampshire

URL: https://scholars.unh.edu/dissertation/1384

► Melting snow provides an essential source of water in many regions of the world and can also contribute to devastating, wide-scale flooding. The objective of… (more)

▼ Melting snow provides an essential source of water in many regions of the world and can also contribute to devastating, wide-scale flooding. The objective of this research was to investigate the potential for passive microwave remotely sensed data to characterize snow water equivalent (SWE) and snowmelt across diverse regions and snow regimes to improve snowmelt runoff estimation. The first step was to evaluate the current, empirically-based passive microwave SWE products compared to NOAA’s operational SWE estimates from SNODAS across 2100 watersheds over eight years. The best agreement was found within basins in which maximum annual SWE is less than 200 mm, and forest fraction is less than 20%. Next, a sensitivity analysis was conducted to evaluate the microwave signal response to spatially distributed wet snow using a loosely-coupled snow-emission model. The results over an area approximately the size of a microwave pixel found a near-linear relationship between the microwave signal response and the percent area with wet snow present. These results were confirmed by evaluating actual wet snow events over a nine year period, and suggest that the microwave response provides the potential basis for disaggregating melting snow within a microwave pixel. Finally, a similar sensitivity analysis conducted in six watersheds with diverse landscapes and snow conditions confirmed the relationship holds at a basin scale. The magnitude of the microwave response to wet snow was compared to the magnitude of subsequent discharge events to determine if an empirical relation exists. While positive increases in brightness temperature (TB) correspond to positive increases in discharge, the magnitude of those changes is poorly correlated in most basins. The exception is in basins where snowmelt runoff typically occurs in one event each spring. In similar basins, the microwave response may provide information on the magnitude of spring runoff. Methods to use these findings to improve current snow and snow melt estimation as well as future research direction are discussed. Advisors/Committee Members: Jennifer M Jacobs, Diane Foster, Thomas Lippman.

Subjects/Keywords: flooding; melt; passive microwave; remote sensing; Snow; water; Remote sensing; Civil engineering

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APA (6^th Edition):

Vuyovich, C. M. (2016). PASSIVE MICROWAVE SATELLITE SNOW OBSERVATIONS FOR HYDROLOGIC APPLICATIONS. (Doctoral Dissertation). University of New Hampshire. Retrieved from https://scholars.unh.edu/dissertation/1384

Chicago Manual of Style (16^th Edition):

Vuyovich, Carrie Micheline. “PASSIVE MICROWAVE SATELLITE SNOW OBSERVATIONS FOR HYDROLOGIC APPLICATIONS.” 2016. Doctoral Dissertation, University of New Hampshire. Accessed March 04, 2021. https://scholars.unh.edu/dissertation/1384.

MLA Handbook (7^th Edition):

Vuyovich, Carrie Micheline. “PASSIVE MICROWAVE SATELLITE SNOW OBSERVATIONS FOR HYDROLOGIC APPLICATIONS.” 2016. Web. 04 Mar 2021.

Vancouver:

Vuyovich CM. PASSIVE MICROWAVE SATELLITE SNOW OBSERVATIONS FOR HYDROLOGIC APPLICATIONS. [Internet] [Doctoral dissertation]. University of New Hampshire; 2016. [cited 2021 Mar 04]. Available from: https://scholars.unh.edu/dissertation/1384.

Council of Science Editors:

Vuyovich CM. PASSIVE MICROWAVE SATELLITE SNOW OBSERVATIONS FOR HYDROLOGIC APPLICATIONS. [Doctoral Dissertation]. University of New Hampshire; 2016. Available from: https://scholars.unh.edu/dissertation/1384

Univerzitet u Beogradu

17. Митровић, Немања М., 1983. 33530215. Одређивач правца заснован на пасивној вишеканалној детекцији електромагнетског сигнала.

Degree: Elektrotehnički fakultet, 2020, Univerzitet u Beogradu

URL: https://fedorabg.bg.ac.rs/fedora/get/o:20821/bdef:Content/get

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техничке науке, електротехника - електроника / technical sciences, electrical engineering - electronic

Пасивно одређивање правца долазећег електромагнетског таласа (passive direction finding - DF) је једна… (more)

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техничке науке, електротехника - електроника / technical sciences, electrical engineering - electronic

Пасивно одређивање правца долазећег електромагнетског таласа (passive direction finding - DF) је једна од техничких дисциплина стандардно примењивана у различитим цивилним и војним областима. Типичан пример су пасивни системи за рану детекцију борбене технике која емитује електромагнетско зрачење, као што су летелице или пловила са активираним радарима. У области цивилне примене, употреба DF-а је много разноврснија и масовнија, па се такви системи рутински користе у сврху детекције покретних и стационарних извора зрачења, препознавања и отклањања интерференције у радио-везама, лоцирању неауторизованих предајника, у сигурносним и безбедносним сервисима, итд. Због широке области примене, DF системи могу бити различитих карактеристика, као што су: а) портабилност – могућност интеграције уређаја у мале преносиве системе, или мале покретне системе (беспилотна летелица, лако теренско возило, патролни чамац, и др.); б) рад у реалном времену; в) детекција зрачења на више фреквенцијских канала, итд. Да би се испунили тако специфични захтеви, потребно је системски приступити дизајну, што је главна тема докторске дисертације. Како је за аквизицију било које физичке величине потребан одговарајући сензор, аквизиција електромагнетских таласа, постиже се употребом одговарајућих антена, које су у DF техникама типично интегрисане у одговарајући антенски низ. За примену дефинисану у дисертацији, постоји више типова погодних антена. Са циљем селекције одговарајуће антене направљен је преглед најпогодније класе антена – антене хорн типа, и закључено је да је пирамидални хорн најбоље решење. Циљ метода процесирања сигнала добијених са антенског низа као сензора је одређивање правца долазећег електромагнетског сигнала. Могу да буду реализоване различитим типовима алгоритама, па се сходно томе методи међусобно и разликују. Иако постоје супер-резолуционе технике које дају најбоље резултате по питању резолуције, оне нису ефикасне и погодне за рад у портабилним системима, тако да је за дизајн одабрана једна од класичних техника амплитудског типа. Анализиране су основне технике амплитудског типа и одабрана је најпогоднија са становишта ефикасности хардверске и софтверске реализације, као и са становишта уведеног критеријума – амплитудског динамичког опсега. Одређивање правца електромагнетског сигнала из једног извора, уколико нема додатних нарушавајућих фактора, релативно је лако решив проблем. Озбиљан проблем настаје када се ради о више извора и који су при том физички блиски, па одређивања правца за сваки од њих може да буде у општем случају нерешив. Супер-резолуциони методи, судећи према литератури, могу да реше тај проблем у великом броју случајева, али по цену брзине, величине опреме, потрошње енергије, итд. Ако је потребно портабилно решење онда је тај проблем у основи нерешив. У пракси, физички блиски извори емитују зрачење на различитим фреквенцијским каналима, па је сукцесивном детекцијом по сваком каналу могуће детектовати и све…

Advisors/Committee Members: Поњавић, Милан, 1967- 12746855.

Subjects/Keywords: passive direction finder (PDF); direction of arrival (DOA); multichannel detection; wideband microwave detection; hardware realization

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APA (6^th Edition):

Митровић, Немања М., 1. 3. (2020). Одређивач правца заснован на пасивној вишеканалној детекцији електромагнетског сигнала. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:20821/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Митровић, Немања М., 1983 33530215. “Одређивач правца заснован на пасивној вишеканалној детекцији електромагнетског сигнала.” 2020. Thesis, Univerzitet u Beogradu. Accessed March 04, 2021. https://fedorabg.bg.ac.rs/fedora/get/o:20821/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Митровић, Немања М., 1983 33530215. “Одређивач правца заснован на пасивној вишеканалној детекцији електромагнетског сигнала.” 2020. Web. 04 Mar 2021.

Vancouver:

Митровић, Немања М. 13. Одређивач правца заснован на пасивној вишеканалној детекцији електромагнетског сигнала. [Internet] [Thesis]. Univerzitet u Beogradu; 2020. [cited 2021 Mar 04]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:20821/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Митровић, Немања М. 13. Одређивач правца заснован на пасивној вишеканалној детекцији електромагнетског сигнала. [Thesis]. Univerzitet u Beogradu; 2020. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:20821/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universitat Politècnica de València

18. Sánchez Marín, Juan Rafael. Reconfigurable Devices using Liquid Crystal at Microwave Frequencies in Substrate Integrated Waveguide .

Degree: 2019, Universitat Politècnica de València

URL: http://hdl.handle.net/10251/132183

► [ES] La cantidad de servicios de telecomunicación se ha incrementado signiticativamente en las últimas décadas. El uso de teléfonos inteligentes, así como el Internet de… (more)

▼ [ES] La cantidad de servicios de telecomunicación se ha incrementado signiticativamente en las últimas décadas. El uso de teléfonos inteligentes, así como el Internet de las Cosas, está generando una saturación del espectro electromágnetico. Por tanto, los requisitos de los sistemas de microondas han cambiado para adaptarse a estos nuevos avances. Para satisfacer estas necesidades, se busca el desarrollo de dispositivos de bajo coste, volumen, peso y consumo. Además, interesa que sean espectralmente eficientes y fácilmente integrables con otros dispositivos. Entre todos los dispostivos de microondas, los filtros son elementos clave dentro de los sistemas de comunicaciones móviles e inalámbricas. Es por ello que el diseño de filtros que cumplan con los requisitos mencionados se ha convertido en un tema de gran interés. Para dar respuesta a este problema ha surgido la tecnología de Guía de Onda Integrada en Sustrato (Substrate Integrated Waveguide (SIW)), que permite la implementación de filtros con un reducido tamaño y fácilmente integrables con otros dispositivos en tecnología planar. Dicha tecnología presenta unas prestaciones en cuanto a manejo de potencia y pérdidas mejores que la tecnología de circuito impreso (Printed Circuit Board (PCB)), aunque no llegan a ser iguales que las de la guía de onda clásica. Por otro lado, la saturación espectral también lleva al estudio de filtros con respuestas variables en frecuencia, es decir, que puedan cambiar su frecuencia central y ancho de banda con el fin de adaptarse a las necesidades del sistema. Por ello, el objetivo general de esta Tesis es el análisis y diseño de nuevos filtros reconfigurables en tecnología integrada. El trabajo empieza con el estudio de los fundamentos de los filtros de microondas hasta llegar al diseño de resonadores reconfigurables en tecnología SIW usando el cristal líquido como material de reconfiguración. En primer lugar, se ha estudiado la influencia que los cambios en el valor de la permitividad dieléctrica en el interior de las estructuras filtrantes pueden tener en la respuesta de las mismos. En particular, se desarrollan filtros alternando secciones de línea con y sin dieléctrico dentro de una SIW vacía, Empty Substrate Integrated Waveguide (ESIW). Una vez hecho esto, se procede al estudio de materiales que tengan un valor de permitividad dieléctrica variable de alguna forma. En concreto, se ha realizado la caracterización de diferentes mezclas de cristal líquido a la frecuencia de microondas. Dicho material cambia su valor de permitividad cuando se le aplica un campo eléctrico o magnético. Dado que para la reconfiguración de la respuesta de los filtros se requiere de una estructura desacoplada en baja frecuencia, es decir, con más de un conductor, se ha desarrollado una estrategia para el desacoplo de la estructuras ESIW, la tecnología Decoupled Empty Substrate Integrated Waveguide (DESIW). Por último, se han diseñado resonadores en dicha tecnología DESIW, que se han llenado de cristal líquido y aplicado unos campos de… Advisors/Committee Members: Bachiller Martin, Maria Carmen (advisor), Boria Esbert, Vicente Enrique (advisor).

Subjects/Keywords: Alternating sections; Decoupling; Substrate Integrated Waveguide (SIW); Liquid crystal; Microwave; Passive devices; Resonator

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sánchez Marín, J. R. (2019). Reconfigurable Devices using Liquid Crystal at Microwave Frequencies in Substrate Integrated Waveguide . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/132183

Chicago Manual of Style (16^th Edition):

Sánchez Marín, Juan Rafael. “Reconfigurable Devices using Liquid Crystal at Microwave Frequencies in Substrate Integrated Waveguide .” 2019. Doctoral Dissertation, Universitat Politècnica de València. Accessed March 04, 2021. http://hdl.handle.net/10251/132183.

MLA Handbook (7^th Edition):

Sánchez Marín, Juan Rafael. “Reconfigurable Devices using Liquid Crystal at Microwave Frequencies in Substrate Integrated Waveguide .” 2019. Web. 04 Mar 2021.

Vancouver:

Sánchez Marín JR. Reconfigurable Devices using Liquid Crystal at Microwave Frequencies in Substrate Integrated Waveguide . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2019. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10251/132183.

Council of Science Editors:

Sánchez Marín JR. Reconfigurable Devices using Liquid Crystal at Microwave Frequencies in Substrate Integrated Waveguide . [Doctoral Dissertation]. Universitat Politècnica de València; 2019. Available from: http://hdl.handle.net/10251/132183

University of Hong Kong

19. 景宪实. Advanced microwave passive components design for antenna feeding network applications.

Degree: 2015, University of Hong Kong

URL: http://hdl.handle.net/10722/221201

► With the development of modern wireless communication and radar system, microstrip antenna arrays are widely used and developed. As two key components for antenna feeding… (more)

Subjects/Keywords: Antennas (Electronics); Microwave devices; Passive components

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APA (6^th Edition):

景宪实. (2015). Advanced microwave passive components design for antenna feeding network applications. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/221201

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

景宪实. “Advanced microwave passive components design for antenna feeding network applications.” 2015. Thesis, University of Hong Kong. Accessed March 04, 2021. http://hdl.handle.net/10722/221201.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

景宪实. “Advanced microwave passive components design for antenna feeding network applications.” 2015. Web. 04 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

景宪实. Advanced microwave passive components design for antenna feeding network applications. [Internet] [Thesis]. University of Hong Kong; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10722/221201.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

景宪实. Advanced microwave passive components design for antenna feeding network applications. [Thesis]. University of Hong Kong; 2015. Available from: http://hdl.handle.net/10722/221201

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Lehigh University

20. Semmens, Kathryn Alese. Passive microwave derived snowmelt timing: significance, spatial and temporal variability, and potential applications.

Degree: PhD, Earth and Environmental Sciences, 2013, Lehigh University

URL: https://preserve.lehigh.edu/etd/1620

► Snow accumulation and melt are dynamic features of the cryosphere indicative of a changing climate. Spring melt and refreeze timing are of particular importance… (more)

▼ Snow accumulation and melt are dynamic features of the cryosphere indicative of a changing climate. Spring melt and refreeze timing are of particular importance due to the influence on subsequent hydrological and ecological processes, including peak runoff and green-up. To investigate the spatial and temporal variability of melt timing across a sub-arctic region (the Yukon River Basin (YRB), Alaska/Canada) dominated by snow and lacking substantial ground instrumentation, passive microwave remote sensing was utilized to provide daily brightness temperatures (Tb) regardless of clouds and darkness. Algorithms to derive the timing of melt onset and the end of melt-refreeze, a critical transition period where the snowpack melts during the day and refreezes at night, were based on thresholds for Tb and diurnal amplitude variations (day and night difference). Tb data from the Special Sensor Microwave Imager (1988 to 2011) was used for analyzing YRB terrestrial snowmelt timing and for characterizing melt regime patterns for icefields in Alaska and Patagonia. Tb data from the Advanced Microwave Scanning Radiometer for EOS (2003 to 2010) was used for determining the occurrence of early melt events (before melt onset) associated with fog or rain on snow, for investigating the correlation between melt timing and forest fires, and for driving a flux-based snowmelt runoff model. From the SSM/I analysis: the melt-refreeze period lengthened for the majority of the YRB with later end of melt-refreeze and earlier melt onset; and positive Tb anomalies were found in recent years from glacier melt dynamics. From the AMSR-E analysis: early melt events throughout the YRB were most often associated with warm air intrusions and reflect a consistent spatial distribution; years and areas of earlier melt onset and refreeze had more forest fire occurrences suggesting melt timing's effects extend to later seasons; and satellite derived melt timing served as an effective input for model simulation of discharge in remote, ungauged snow-dominated basins. The melt detection methodology and results present a new perspective on the changing cryosphere, provide an understanding of melt's influence on other earth system processes, and develop a baseline from which to assess and evaluate future change. The temporal and spatial variability conveyed through the regional context of this research may be useful to communities in climate change adaptation planning. Advisors/Committee Members: Ramage, Joan M..

Subjects/Keywords: Brightness Temperatures; Cryosphere; Diurnal Amplitude Variations; Melt-Refreeze; Passive microwave; Snowmelt; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Semmens, K. A. (2013). Passive microwave derived snowmelt timing: significance, spatial and temporal variability, and potential applications. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1620

Chicago Manual of Style (16^th Edition):

Semmens, Kathryn Alese. “Passive microwave derived snowmelt timing: significance, spatial and temporal variability, and potential applications.” 2013. Doctoral Dissertation, Lehigh University. Accessed March 04, 2021. https://preserve.lehigh.edu/etd/1620.

MLA Handbook (7^th Edition):

Semmens, Kathryn Alese. “Passive microwave derived snowmelt timing: significance, spatial and temporal variability, and potential applications.” 2013. Web. 04 Mar 2021.

Vancouver:

Semmens KA. Passive microwave derived snowmelt timing: significance, spatial and temporal variability, and potential applications. [Internet] [Doctoral dissertation]. Lehigh University; 2013. [cited 2021 Mar 04]. Available from: https://preserve.lehigh.edu/etd/1620.

Council of Science Editors:

Semmens KA. Passive microwave derived snowmelt timing: significance, spatial and temporal variability, and potential applications. [Doctoral Dissertation]. Lehigh University; 2013. Available from: https://preserve.lehigh.edu/etd/1620

21. Li, Qinghuan. Exploring the use of MODIS forest transmissivity for correcting passive microwave observation of snow-covered terrain/landscape.

Degree: 2015, University of Waterloo

URL: http://hdl.handle.net/10012/9160

► Snow is one of the most important parts in Earth’s hydrologic cycle especially at high latitude. Observation of snow accumulation by passive microwave measurements is… (more)

▼ Snow is one of the most important parts in Earth’s hydrologic cycle especially at high latitude. Observation of snow accumulation by passive microwave measurements is an effective way for estimating snow mass at the regional to hemispheric scales because microwaves have the capability of interacting with the snow and the amount of interaction is controlled by the bulk properties of a snowpack such as snow water equivalent (SWE) or snow depth (SD). Compared with optical approaches, microwave observations can be made under nearly all weather and lighting conditions. Forest coverage is one of the challenges in the estimation of snow accumulation by passive microwave observations. Canopy can decrease the accuracy of SWE retrieval by attenuating microwave emission from ground and by producing additional emission. Because forest is one of the major land cover types, retrieval SWE in forested domains is the key challenge in the estimation of snow properties with passive microwave. Transmissivity of radiation is an important variable that describes how a tree canopy attenuates microwave emission from ground. If this variable is known, inverse microwave emission retrieval schemes can provide reasonable estimates for SWE in forest area. Although transmissivity can be measured in the field or retrieved by model which based on field data, field data is not always available especially at regional to global scales. Therefore, following the work of Metsamaki et al. (2005) a transmissivity model driven reflectance data from the Moderate Resolution Imaging Spectroradiometer (MODIS) been applied for retrieval transmissivity in this study. Because SCAmod need reflectance from snow covered condition to drive, it only can be applied in high the latitude area. MOD44B data were used to extend this transmissivity data to lower latitude area because MOD44B data and transmissivity data are highly correlated. The vegetation's influence on PM brightness temperature were explored by compare the PM brightness temperature at open area with forest covered area. In general, the brightness temperature contributed by the vegetation increases with the increase of forest vegetation density. In the higher frequency bands, vegetation tends to contribute more brightness temperature than lower frequency bands. This finding can be used to solve SWE or SD underestimate in the forest region.

Subjects/Keywords: passive microwave; snow; forest canopy

…observation, passive microwave (PM) is widely used especially at global scales. In… …global temperature and precipitation pattern. 2.2 Spaceborne VIS/IR and passive microwave… …of passive microwave remote sensing in snow research Passive microwave is another effective… …unique characteristics of microwave make passive microwave approach plays a very important role… …properties with passive microwave. The forest canopy can be represented as a dielectric mixture…

10 more images…

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APA (6^th Edition):

Li, Q. (2015). Exploring the use of MODIS forest transmissivity for correcting passive microwave observation of snow-covered terrain/landscape. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/9160

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Li, Qinghuan. “Exploring the use of MODIS forest transmissivity for correcting passive microwave observation of snow-covered terrain/landscape.” 2015. Thesis, University of Waterloo. Accessed March 04, 2021. http://hdl.handle.net/10012/9160.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Li, Qinghuan. “Exploring the use of MODIS forest transmissivity for correcting passive microwave observation of snow-covered terrain/landscape.” 2015. Web. 04 Mar 2021.

Vancouver:

Li Q. Exploring the use of MODIS forest transmissivity for correcting passive microwave observation of snow-covered terrain/landscape. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10012/9160.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Q. Exploring the use of MODIS forest transmissivity for correcting passive microwave observation of snow-covered terrain/landscape. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/9160

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Maryland

22. Xue, Yuan. SENSITIVITY ANALYSIS OF MACHINE LEARNING IN BRIGHTNESS TEMPERATURE PREDICTIONS OVER SNOW-COVERD REGIONS USING THE ADVANCED MICROWAVE SCANNING RADIOMETER.

Degree: Civil Engineering, 2014, University of Maryland

URL: http://hdl.handle.net/1903/15475

► Snow is a critical component in the global energy and hydrologic cycle. Further, it is important to know the mass of snow because it serves… (more)

Subjects/Keywords: Hydrologic sciences; Remote sensing; brightness temperature predictions; machine learning; passive microwave; sensitivity analysis

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APA (6^th Edition):

Xue, Y. (2014). SENSITIVITY ANALYSIS OF MACHINE LEARNING IN BRIGHTNESS TEMPERATURE PREDICTIONS OVER SNOW-COVERD REGIONS USING THE ADVANCED MICROWAVE SCANNING RADIOMETER. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/15475

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Xue, Yuan. “SENSITIVITY ANALYSIS OF MACHINE LEARNING IN BRIGHTNESS TEMPERATURE PREDICTIONS OVER SNOW-COVERD REGIONS USING THE ADVANCED MICROWAVE SCANNING RADIOMETER.” 2014. Thesis, University of Maryland. Accessed March 04, 2021. http://hdl.handle.net/1903/15475.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Xue, Yuan. “SENSITIVITY ANALYSIS OF MACHINE LEARNING IN BRIGHTNESS TEMPERATURE PREDICTIONS OVER SNOW-COVERD REGIONS USING THE ADVANCED MICROWAVE SCANNING RADIOMETER.” 2014. Web. 04 Mar 2021.

Vancouver:

Xue Y. SENSITIVITY ANALYSIS OF MACHINE LEARNING IN BRIGHTNESS TEMPERATURE PREDICTIONS OVER SNOW-COVERD REGIONS USING THE ADVANCED MICROWAVE SCANNING RADIOMETER. [Internet] [Thesis]. University of Maryland; 2014. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1903/15475.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xue Y. SENSITIVITY ANALYSIS OF MACHINE LEARNING IN BRIGHTNESS TEMPERATURE PREDICTIONS OVER SNOW-COVERD REGIONS USING THE ADVANCED MICROWAVE SCANNING RADIOMETER. [Thesis]. University of Maryland; 2014. Available from: http://hdl.handle.net/1903/15475

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

The Ohio State University

23. Wang, Huaiyi. Achieving Efficient Spectrum Usage in Passive and Active Sensing.

Degree: PhD, Electrical and Computer Engineering, 2017, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1483709288836523

► Increasing demand for supporting more wireless services with higher performance and reliability within the frequency bands that are most conducive to operating cost-effective cellular and… (more)

Subjects/Keywords: Electrical Engineering; Electromagnetics; spectrum sharing; air traffic control radar; LTE system; passive radar; microwave radiometry

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APA (6^th Edition):

Wang, H. (2017). Achieving Efficient Spectrum Usage in Passive and Active Sensing. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1483709288836523

Chicago Manual of Style (16^th Edition):

Wang, Huaiyi. “Achieving Efficient Spectrum Usage in Passive and Active Sensing.” 2017. Doctoral Dissertation, The Ohio State University. Accessed March 04, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1483709288836523.

MLA Handbook (7^th Edition):

Wang, Huaiyi. “Achieving Efficient Spectrum Usage in Passive and Active Sensing.” 2017. Web. 04 Mar 2021.

Vancouver:

Wang H. Achieving Efficient Spectrum Usage in Passive and Active Sensing. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2021 Mar 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1483709288836523.

Council of Science Editors:

Wang H. Achieving Efficient Spectrum Usage in Passive and Active Sensing. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1483709288836523

University of Waterloo

24. Toose, Peter. The Influence of Snow Cover Variability and Tundra Lakes on Passive Microwave Remote Sensing of Late Winter Snow Water Equivalent in the Hudson Bay Lowlands.

Degree: 2007, University of Waterloo

URL: http://hdl.handle.net/10012/3282

► Current North American operational satellite passive microwave snow water equivalent (SWE) retrieval algorithms consistently underestimate SWE levels for tundra environments when compared to four years… (more)

▼ Current North American operational satellite passive microwave snow water equivalent (SWE) retrieval algorithms consistently underestimate SWE levels for tundra environments when compared to four years of regional snow surveys conducted in the Northwest Territories and northern Manitoba, Canada. Almost all contemporary SWE algorithms are based on the brightness temperature difference between the 37GHz and 19GHz frequencies found onboard both past and present spaceborne sensors. This underestimation is likely a result of the distribution and deposition of the tundra snow, coupled with the influence of tundra lakes on brightness temperatures at the 19GHz frequency. To better our understanding concerning the underestimation of passive microwave SWE retrievals on the tundra, Environment Canada collected in situ measurements of SWE, snow depth, and density at 87 sites within a 25km by 25km study domain located near Churchill, Manitoba in March 2006. Coincident multi-scale passive microwave airborne (70m & 500m resolution) and spaceborne (regridded to 12.5km & 25km resolution depending on frequency) data were measured at 6.9GHz, 19GHz, 37GHz and 89 GHz frequencies during the same time period. The snow survey data highlighted small-scale localized patterns of snow distribution and deposition on the tundra that likely influences current SWE underestimation. Snow from the open tundra plains is re-distributed by wind into small-scale vegetated features and micro-topographic depressions such as narrow creekbeds, lake edge willows, small stands of coniferous trees and polygonal wedge depressions. The very large amounts of snow deposited in these spatially-constrained features has little influence on the microwave emission measured by large-scale passive microwave spaceborne sensors and is therefore unaccounted for in current methods of satellite SWE estimation. The analysis of the passive microwave airborne data revealed that brightness temperatures at the 19GHz were much lower over some tundra lakes, effectively lowering SWE at the satellite scale by reducing the 37-19GHz brightness temperature difference used to estimate SWE. The unique emission properties of lakes in the wide open expanse of the tundra plains, coupled with an insensitivity to the large amounts of SWE deposited in small-scale features provides an explanation for current passive microwave underestimation of SWE in the tundra environment.

Subjects/Keywords: snow water equivalent; passive microwave; tundra; lake ice

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APA (6^th Edition):

Toose, P. (2007). The Influence of Snow Cover Variability and Tundra Lakes on Passive Microwave Remote Sensing of Late Winter Snow Water Equivalent in the Hudson Bay Lowlands. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/3282

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Toose, Peter. “The Influence of Snow Cover Variability and Tundra Lakes on Passive Microwave Remote Sensing of Late Winter Snow Water Equivalent in the Hudson Bay Lowlands.” 2007. Thesis, University of Waterloo. Accessed March 04, 2021. http://hdl.handle.net/10012/3282.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Toose, Peter. “The Influence of Snow Cover Variability and Tundra Lakes on Passive Microwave Remote Sensing of Late Winter Snow Water Equivalent in the Hudson Bay Lowlands.” 2007. Web. 04 Mar 2021.

Vancouver:

Toose P. The Influence of Snow Cover Variability and Tundra Lakes on Passive Microwave Remote Sensing of Late Winter Snow Water Equivalent in the Hudson Bay Lowlands. [Internet] [Thesis]. University of Waterloo; 2007. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10012/3282.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Toose P. The Influence of Snow Cover Variability and Tundra Lakes on Passive Microwave Remote Sensing of Late Winter Snow Water Equivalent in the Hudson Bay Lowlands. [Thesis]. University of Waterloo; 2007. Available from: http://hdl.handle.net/10012/3282

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

25. Azizi, Mostafa. CMOS-MEMS Scanning Microwave Microscopy.

Degree: 2017, University of Waterloo

URL: http://hdl.handle.net/10012/12591

► This thesis presents the design, fabrication and experimental validation of an integrated dual-mode scanning microwave microscopy (SMM)/Atomic Force Microscopy (AFM) system that does not require… (more)

▼ This thesis presents the design, fabrication and experimental validation of an integrated dual-mode scanning microwave microscopy (SMM)/Atomic Force Microscopy (AFM) system that does not require the use of a conventional laser-based AFM or external scanners. Microfabricated SMM probes are collocated with strain-based piezoresistive AFM probes in a CMOS-MEMS process, and are actuated by integrated electrothermal scanners. Integration of AFM enables dual-mode imaging (topography and electrical properties); it also enables control over tip-sample distance, which is crucial for accurate SMM imaging. The SMM (also known as Scanning Near-field Microwave Microscope and Scanning Evanescent Microwave Microscope) is the most well-known type of Scanning Probe Microscopes (SPM) that can quantify local dielectric and conductivity of materials. It has emerged as the most promising means for the fast, non-contact, and non-destructive study of materials and semiconductor devices. The CMOS-MEMS SMM devices are fabricated by using a standard foundry CMOS process, followed by an in-house mask-less post-processing technique to release them. Single-chip SMM/AFM devices with integrated 1-D and 3-D actuation are introduced. The CMOS-MEMS fabrication process allows external bulky scanners to be replaced with integrated MEMS actuators that are small and immune to vibration and drift. In this work, electrothermal MEMS actuators are utilized to scan the tip over the sample in 3 degrees of freedom, over a 13 µm x 13 µm x 10 µm scan range in the x, y, and z directions, respectively. Furthermore, the availability of polysilicon layers on the CMOS processes allows for on-chip integrated piezoresistive position sensing that obviates the need for the laser system. Vertical tip-sample distance control of a few nanometers is achieved with the integrated piezoresistive position sensors. These devices are used to modulate the tip-sample separation to underlying samples with a periodic signal, improving immunity to long-term system drifts. To improve the sensitivity of the CMOS-MEMS SMM, different types of matching networks for SMMs are thoroughly analyzed and closed form formulas are presented for each type. Based on the analyses, the stub matching method is selected to match the high tip-to-sample impedance to the 50 ohm characteristic impedance of the system. After that, with the help of lumped models and EM simulations, different sections of the CMOS-MEMS SMM system are analyzed and suggestions for selecting the best micro-transmission line and bonding-pad transmission lines are given. A measurement circuit for SMM is then presented and explained, showing how this measurement system can improve the output-signal-to-noise ratio and hence the sensitivity of microwave imaging. Calculations for the entire SMM system indicate that sub-attofarad tip-sample impedance can be measured. It is noteworthy that most of the analyses and suggestions given in this thesis can be applied to any Scanning Microwave Microscopes or, even more generally, to any…

Subjects/Keywords: Atomic Force Microscope; CMOS-MEMS fabrication; MEMS scanning probe metrology tools; Scanning Microwave Microscope; passive circuit modeling

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APA (6^th Edition):

Azizi, M. (2017). CMOS-MEMS Scanning Microwave Microscopy. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12591

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Azizi, Mostafa. “CMOS-MEMS Scanning Microwave Microscopy.” 2017. Thesis, University of Waterloo. Accessed March 04, 2021. http://hdl.handle.net/10012/12591.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Azizi, Mostafa. “CMOS-MEMS Scanning Microwave Microscopy.” 2017. Web. 04 Mar 2021.

Vancouver:

Azizi M. CMOS-MEMS Scanning Microwave Microscopy. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10012/12591.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Azizi M. CMOS-MEMS Scanning Microwave Microscopy. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/12591

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Queensland University of Technology

26. Albannay, Mohammed Masoud. Array of antenna arrays.

Degree: 2014, Queensland University of Technology

URL: https://eprints.qut.edu.au/75576/

► Antenna arrays are groups of antenna elements spaced in a geometrical pattern. By changing the phase excitation of each element, the array is capable of… (more)

Subjects/Keywords: Antenna arrays; Array feed network; Beam forming; Mutual coupling; Decoupling and matching networks; Passive microwave circuits; Printed circuit board fabrication

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Albannay, M. M. (2014). Array of antenna arrays. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/75576/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Albannay, Mohammed Masoud. “Array of antenna arrays.” 2014. Thesis, Queensland University of Technology. Accessed March 04, 2021. https://eprints.qut.edu.au/75576/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Albannay, Mohammed Masoud. “Array of antenna arrays.” 2014. Web. 04 Mar 2021.

Vancouver:

Albannay MM. Array of antenna arrays. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2021 Mar 04]. Available from: https://eprints.qut.edu.au/75576/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Albannay MM. Array of antenna arrays. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/75576/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Schalie, R. van der. Advancing soil moisture climate records through the integration of SMOS observations .

Degree: 2017, Vrije Universiteit Amsterdam

URL: http://hdl.handle.net/1871/55379

Subjects/Keywords: hydrology; soil moisture; remote sensing; passive microwave radiometry

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Schalie, R. v. d. (2017). Advancing soil moisture climate records through the integration of SMOS observations . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/55379

Chicago Manual of Style (16^th Edition):

Schalie, R van der. “Advancing soil moisture climate records through the integration of SMOS observations .” 2017. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed March 04, 2021. http://hdl.handle.net/1871/55379.

MLA Handbook (7^th Edition):

Schalie, R van der. “Advancing soil moisture climate records through the integration of SMOS observations .” 2017. Web. 04 Mar 2021.

Vancouver:

Schalie Rvd. Advancing soil moisture climate records through the integration of SMOS observations . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1871/55379.

Council of Science Editors:

Schalie Rvd. Advancing soil moisture climate records through the integration of SMOS observations . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2017. Available from: http://hdl.handle.net/1871/55379

Delft University of Technology

28. Mulder, Martijn (author). Monitoring land restoration projects of Justdiggit in Kenya, using downscaled passive microwave remote sensing products of VanderSat.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:86a24122-e3b5-4cc7-b580-f70fdecb78f8

► The growing world population and climate change have resulted in increasing stress on the Earth’s ecosystems. Especially the overexploitation of agricultural land, overgrazing and extreme… (more)

▼ The growing world population and climate change have resulted in increasing stress on the Earth’s ecosystems. Especially the overexploitation of agricultural land, overgrazing and extreme droughts have resulted in land degradation, often called desertification. This leads to the disappearing of natural vegetation, the loss of soil quality, lower production capacity in agriculture and increased water scarcity, which is most severe on drylands like the African continent. Globally, organizations such as the United Nations Convention to Combat Desertification (UNCCD) are fighting land degradation by implementing sustainable farming practices and supporting re-vegetation projects such as the Green Wall Initiative in Africa, often using ancient water harvesting techniques. Justdiggit, a Dutch NGO, is currently working on land restoration projects and dug over 72,000 water-retaining semi-circular bumps, or ’bunds’, in Kenya. By retaining rainwater in these bunds, water is given the time to infiltrate into the soil, erosion rates by overland flow are reduced, while vegetation recovers and on the long termcan take over the function of the bunds. Although the first results of the bunds at small scale are promising, the impact of the projects of Justdiggit has never been quantified on a large scale in terms of the amount of water that’s retained, increase of vegetation and decrease of surface temperature. As dense in-situ networks are expensive and have difficulties in capturing the large spatial variability of parameters such as soil moisture and temperature, often remote sensing (satellite observation) is used, which does well in measuring spatial variability on large scales. However, as optical remote sensing is often affected by cloud cover, data availability is limited. Furthermore, it is difficult to translate optical vegetation parameters such as the Normalized Difference Vegetation Index (NDVI) to vegetation biomass, as these only observe the surface of the canopy. Passive microwave remote sensing, which is measured in the microwave part of the electromagnetic spectrum, has proven to be very accurate in determining parameters such as soil moisture content, surface temperature and vegetation optical depth (VOD, related to vegetation thickness and water content). The advantage of using microwaves is that it can ’see’ through clouds and can therefore be used under almost all atmospheric circumstances. However, due to the low intensity of passive microwaves, resolutions are low (¼ 50x30km). VanderSat, a Dutch remote sensing company, downscales the low-resolution passive microwave observations to 100x100m field-scale resolution. The goal of this research is therefore to test if the project areas of Justdiggit can be monitored using these downscaled passive microwave remote sensing soil moisture, surface temperature (night-time) and vegetation optical depth products of VanderSat. Using in-situ data from sensors that were installed inside and outside the bunds during a fieldwork in Kenya in March 2018, the… Advisors/Committee Members: Steele-Dunne, Susan (mentor), Bogaard, Thom (graduation committee), van Turnhout, Andre (graduation committee), de Jeu, Richard (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Land degradation; Land restoration; Remote Sensing; Passive microwave remote sensing; Water Resources Management; Soil Moisture; Surface Temperature; Vegetation Optical Depth

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mulder, M. (. (2018). Monitoring land restoration projects of Justdiggit in Kenya, using downscaled passive microwave remote sensing products of VanderSat. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:86a24122-e3b5-4cc7-b580-f70fdecb78f8

Chicago Manual of Style (16^th Edition):

Mulder, Martijn (author). “Monitoring land restoration projects of Justdiggit in Kenya, using downscaled passive microwave remote sensing products of VanderSat.” 2018. Masters Thesis, Delft University of Technology. Accessed March 04, 2021. http://resolver.tudelft.nl/uuid:86a24122-e3b5-4cc7-b580-f70fdecb78f8.

MLA Handbook (7^th Edition):

Mulder, Martijn (author). “Monitoring land restoration projects of Justdiggit in Kenya, using downscaled passive microwave remote sensing products of VanderSat.” 2018. Web. 04 Mar 2021.

Vancouver:

Mulder M(. Monitoring land restoration projects of Justdiggit in Kenya, using downscaled passive microwave remote sensing products of VanderSat. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 04]. Available from: http://resolver.tudelft.nl/uuid:86a24122-e3b5-4cc7-b580-f70fdecb78f8.

Council of Science Editors:

Mulder M(. Monitoring land restoration projects of Justdiggit in Kenya, using downscaled passive microwave remote sensing products of VanderSat. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:86a24122-e3b5-4cc7-b580-f70fdecb78f8

University of Washington

29. Ly, Victoria. Mapping Snow Sensor Usability in the Northern Hemisphere with Google Earth Engine.

Degree: 2020, University of Washington

URL: http://hdl.handle.net/1773/46415

► Remote sensing provides a powerful tool for regularly observing seasonal snow properties across local, regional, and global spatial scales. Satellite Passive Microwave (PM) remote sensing… (more)

Subjects/Keywords: Northern Hemisphere; Passive Microwave Sensors; Satellite Remote Sensing; Snow Hydrology; Hydrologic sciences; Remote sensing; Water resources management; Civil engineering

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APA (6^th Edition):

Ly, V. (2020). Mapping Snow Sensor Usability in the Northern Hemisphere with Google Earth Engine. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/46415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ly, Victoria. “Mapping Snow Sensor Usability in the Northern Hemisphere with Google Earth Engine.” 2020. Thesis, University of Washington. Accessed March 04, 2021. http://hdl.handle.net/1773/46415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ly, Victoria. “Mapping Snow Sensor Usability in the Northern Hemisphere with Google Earth Engine.” 2020. Web. 04 Mar 2021.

Vancouver:

Ly V. Mapping Snow Sensor Usability in the Northern Hemisphere with Google Earth Engine. [Internet] [Thesis]. University of Washington; 2020. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1773/46415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ly V. Mapping Snow Sensor Usability in the Northern Hemisphere with Google Earth Engine. [Thesis]. University of Washington; 2020. Available from: http://hdl.handle.net/1773/46415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Edel, Léo. Vers une meilleure connaissance des précipitations en Arctique : utilisation de la télédétection spatiale micro-ondes : Toward a better understanding of snowfall in Arctic using microwave remote sensing.

Degree: Docteur es, Météorologie, océanographie, physique de l'environnement, 2019, Université Paris-Saclay (ComUE)

URL: http://www.theses.fr/2019SACLX108

►

Parce que l’incertitude des mesures des précipitations solides est importante en Arctique, les taux de chutes de neige montrent des différences marquées entre les jeux… (more)

▼

Parce que l’incertitude des mesures des précipitations solides est importante en Arctique, les taux de chutes de neige montrent des différences marquées entre les jeux de données disponibles. Afin de caractériser plus précisément les précipitations arctiques, la télédétection spatiale micro-ondes s’avère être un outil idéal. Les observations collectées par le radar à bord du satellite CloudSat ont permis d’obtenir les taux de chutes de neige à la surface pour quatre années complètes. Ces estimations ont été validées avec des données de stations météorologiques, et comparées à diverses climatologies. Malgré un bon accord qualitatif, d’importantes différences sont observées, particulièrement au Groenland. La réanalyse régionale ASR montre un meilleur accord avec les restitutions de CloudSat que la réanalyse globale ERA-Interim, notamment concernant la distribution saisonnière des taux de chutes de neige. Les observations CloudSat ont ensuite été utilisées comme référence afin d’évaluer la capacité des sondeurs passifs micro-ondes proches de 183 GHz à détecter les chutes de neige arctiques. Nous avons montré que la détection est possible et repose principalement sur les températures de brillance à 190 et 183 ± 3 GHz ainsi que la température proche de la surface et la vapeur d’eau intégrée. La détection est limitée dans le cas de conditions environnementales trop froides et pour des chutes de neige faibles. En dépit de ces limitations, l’algorithme développé permet un apport en information concernant les chutes de neige intenses, avec un bon échantillonnage grâce à sa large fauchée et sa longue série temporelle. Ainsi les résultats de ces travaux illustrent notamment l’apport des observations passives micro-ondes, disponibles pour les 20 dernières années, pour la caractérisation de l’occurrence des chutes de neige.

Because solid precipitation measurements at the surface are complex in Arctic, snowfall rates present significant differences between recent datasets. To further characterize arctic precipitation, microwave remote sensing is an appropriate tool. The radar observations onboard CloudSat provides rates of snowfall at the surface for a 4-years period. These retrievals are validated with in situ data, and compared to various datasets. Despite a good qualitative agreement, significant differences are observed, especially over Greenland. The regional reanalysis shows a better agreement with CloudSat retrievals than the global reanalysis, especially regarding the seasonnal distribution of snowfall rates. Then, CloudSat observations are used as a reference to evaluate the ability of passive microwave sounders to detect arctic snowfall for frequencies around 183 GHz. Detection is possible and relies mainly on brightness temperatures at 190 and 183 ± 3 GHz as well as the temperature near the surface and the integrated water vapor. A poor detection capability is observed in cold conditions and for light snowfall. Despite these limitations, the algorithm provides significant information for intense snowfalls, with good…

Advisors/Committee Members: Claud, Chantal (thesis director), Genthon, Christophe (thesis director).

Subjects/Keywords: Arctique; Chutes de neige; Radar spatial; Sondeur passif; Micro-ondes; Arctic; Snowfall; Space radar; Passive sounder; Microwave; 551.5

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APA (6^th Edition):

Edel, L. (2019). Vers une meilleure connaissance des précipitations en Arctique : utilisation de la télédétection spatiale micro-ondes : Toward a better understanding of snowfall in Arctic using microwave remote sensing. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2019SACLX108

Chicago Manual of Style (16^th Edition):

Edel, Léo. “Vers une meilleure connaissance des précipitations en Arctique : utilisation de la télédétection spatiale micro-ondes : Toward a better understanding of snowfall in Arctic using microwave remote sensing.” 2019. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed March 04, 2021. http://www.theses.fr/2019SACLX108.

MLA Handbook (7^th Edition):

Edel, Léo. “Vers une meilleure connaissance des précipitations en Arctique : utilisation de la télédétection spatiale micro-ondes : Toward a better understanding of snowfall in Arctic using microwave remote sensing.” 2019. Web. 04 Mar 2021.

Vancouver:

Edel L. Vers une meilleure connaissance des précipitations en Arctique : utilisation de la télédétection spatiale micro-ondes : Toward a better understanding of snowfall in Arctic using microwave remote sensing. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2019. [cited 2021 Mar 04]. Available from: http://www.theses.fr/2019SACLX108.

Council of Science Editors:

Edel L. Vers une meilleure connaissance des précipitations en Arctique : utilisation de la télédétection spatiale micro-ondes : Toward a better understanding of snowfall in Arctic using microwave remote sensing. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2019. Available from: http://www.theses.fr/2019SACLX108

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Open Access Theses and Dissertations