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You searched for subject:(Hyperspectral remote sensing). Showing records 1 – 30 of 174 total matches.

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University of New South Wales

1. Raval, Simitkumar. Investigation of mine environmental monitoring with satellite based sensors.

Degree: Mining Engineering, 2011, University of New South Wales

 In light of increasing concerns for sustainable mining practices, it is critical to monitor the environment in and around mines, through advanced and more sensitive… (more)

Subjects/Keywords: Hyperspectral; Multispectral / Hyperspectral; Mine Environment; Remote Sensing

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APA (6th Edition):

Raval, S. (2011). Investigation of mine environmental monitoring with satellite based sensors. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51480 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10167/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Raval, Simitkumar. “Investigation of mine environmental monitoring with satellite based sensors.” 2011. Doctoral Dissertation, University of New South Wales. Accessed October 29, 2020. http://handle.unsw.edu.au/1959.4/51480 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10167/SOURCE02?view=true.

MLA Handbook (7th Edition):

Raval, Simitkumar. “Investigation of mine environmental monitoring with satellite based sensors.” 2011. Web. 29 Oct 2020.

Vancouver:

Raval S. Investigation of mine environmental monitoring with satellite based sensors. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2020 Oct 29]. Available from: http://handle.unsw.edu.au/1959.4/51480 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10167/SOURCE02?view=true.

Council of Science Editors:

Raval S. Investigation of mine environmental monitoring with satellite based sensors. [Doctoral Dissertation]. University of New South Wales; 2011. Available from: http://handle.unsw.edu.au/1959.4/51480 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10167/SOURCE02?view=true


Rochester Institute of Technology

2. Anderson, Grant W.F. An evaluation of the silicon spectral range for determination of nutrient content of grape vines.

Degree: MS, Chester F. Carlson Center for Imaging Science (COS), 2016, Rochester Institute of Technology

  The grape industry relies on in situ crop assessment to aid in the day-to-day and seasonal management of their crop. In the case of… (more)

Subjects/Keywords: Grape; Hyperspectral; Modeling; Nutrient; Remote sensing; Wine

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APA (6th Edition):

Anderson, G. W. F. (2016). An evaluation of the silicon spectral range for determination of nutrient content of grape vines. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9175

Chicago Manual of Style (16th Edition):

Anderson, Grant W F. “An evaluation of the silicon spectral range for determination of nutrient content of grape vines.” 2016. Masters Thesis, Rochester Institute of Technology. Accessed October 29, 2020. https://scholarworks.rit.edu/theses/9175.

MLA Handbook (7th Edition):

Anderson, Grant W F. “An evaluation of the silicon spectral range for determination of nutrient content of grape vines.” 2016. Web. 29 Oct 2020.

Vancouver:

Anderson GWF. An evaluation of the silicon spectral range for determination of nutrient content of grape vines. [Internet] [Masters thesis]. Rochester Institute of Technology; 2016. [cited 2020 Oct 29]. Available from: https://scholarworks.rit.edu/theses/9175.

Council of Science Editors:

Anderson GWF. An evaluation of the silicon spectral range for determination of nutrient content of grape vines. [Masters Thesis]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/9175


University of Alberta

3. DeLancey, Evan R. Hyperspectral remote sensing of boreal forest tree diversity at multiple scales.

Degree: MS, Department of Earth and Atmospheric Sciences, 2014, University of Alberta

 This research compared the variability/diversity of spectral information captured with spectrometers at the airborne, field, and leaf level to tree species diversity. Airborne measurements were… (more)

Subjects/Keywords: sensing; biodiversity; boreal; forest; remote; hyperspectral

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APA (6th Edition):

DeLancey, E. R. (2014). Hyperspectral remote sensing of boreal forest tree diversity at multiple scales. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/bv73c1280

Chicago Manual of Style (16th Edition):

DeLancey, Evan R. “Hyperspectral remote sensing of boreal forest tree diversity at multiple scales.” 2014. Masters Thesis, University of Alberta. Accessed October 29, 2020. https://era.library.ualberta.ca/files/bv73c1280.

MLA Handbook (7th Edition):

DeLancey, Evan R. “Hyperspectral remote sensing of boreal forest tree diversity at multiple scales.” 2014. Web. 29 Oct 2020.

Vancouver:

DeLancey ER. Hyperspectral remote sensing of boreal forest tree diversity at multiple scales. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2020 Oct 29]. Available from: https://era.library.ualberta.ca/files/bv73c1280.

Council of Science Editors:

DeLancey ER. Hyperspectral remote sensing of boreal forest tree diversity at multiple scales. [Masters Thesis]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/bv73c1280


University of Connecticut

4. Bostrom, Kelley J. Testing the Limits of Hyperspectral Airborne Remote Sensing by Mapping Eelgrass in Elkhorn Slough.

Degree: MS, Oceanography, 2011, University of Connecticut

  Seagrass ecosystems are a valuable resource, but vulnerable to changing conditions in the coastal ocean. Quantification of seagrass density and distribution from aerial imagery… (more)

Subjects/Keywords: Remote sensing; eelgrass; Elkhorn Slough; hyperspectral

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APA (6th Edition):

Bostrom, K. J. (2011). Testing the Limits of Hyperspectral Airborne Remote Sensing by Mapping Eelgrass in Elkhorn Slough. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/208

Chicago Manual of Style (16th Edition):

Bostrom, Kelley J. “Testing the Limits of Hyperspectral Airborne Remote Sensing by Mapping Eelgrass in Elkhorn Slough.” 2011. Masters Thesis, University of Connecticut. Accessed October 29, 2020. https://opencommons.uconn.edu/gs_theses/208.

MLA Handbook (7th Edition):

Bostrom, Kelley J. “Testing the Limits of Hyperspectral Airborne Remote Sensing by Mapping Eelgrass in Elkhorn Slough.” 2011. Web. 29 Oct 2020.

Vancouver:

Bostrom KJ. Testing the Limits of Hyperspectral Airborne Remote Sensing by Mapping Eelgrass in Elkhorn Slough. [Internet] [Masters thesis]. University of Connecticut; 2011. [cited 2020 Oct 29]. Available from: https://opencommons.uconn.edu/gs_theses/208.

Council of Science Editors:

Bostrom KJ. Testing the Limits of Hyperspectral Airborne Remote Sensing by Mapping Eelgrass in Elkhorn Slough. [Masters Thesis]. University of Connecticut; 2011. Available from: https://opencommons.uconn.edu/gs_theses/208


Northeastern University

5. Fletcher, Ian. Reflectance retrieval for hyperspectral imagery collected over urban environments.

Degree: MS, Department of Electrical and Computer Engineering, 2018, Northeastern University

Hyperspectral Imaging (HSI) aims to classify targets based upon the extracted spectral reflectance signatures of objects within an image. This reflectance retrieval process estimates and… (more)

Subjects/Keywords: hyperspectral imaging; remote sensing; urban reflectance retrieval

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APA (6th Edition):

Fletcher, I. (2018). Reflectance retrieval for hyperspectral imagery collected over urban environments. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20294168

Chicago Manual of Style (16th Edition):

Fletcher, Ian. “Reflectance retrieval for hyperspectral imagery collected over urban environments.” 2018. Masters Thesis, Northeastern University. Accessed October 29, 2020. http://hdl.handle.net/2047/D20294168.

MLA Handbook (7th Edition):

Fletcher, Ian. “Reflectance retrieval for hyperspectral imagery collected over urban environments.” 2018. Web. 29 Oct 2020.

Vancouver:

Fletcher I. Reflectance retrieval for hyperspectral imagery collected over urban environments. [Internet] [Masters thesis]. Northeastern University; 2018. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/2047/D20294168.

Council of Science Editors:

Fletcher I. Reflectance retrieval for hyperspectral imagery collected over urban environments. [Masters Thesis]. Northeastern University; 2018. Available from: http://hdl.handle.net/2047/D20294168

6. Wood, John S. Hyperspectral analysis of seagrass in Redfish Bay, Texas .

Degree: 2013, Texas A&M University – Corpus Christi

Remote sensing using multi- and hyperspectral imaging and analysis has been used in resource management for quite some time, and for a variety of purposes.… (more)

Subjects/Keywords: ArcGIS; ENVI; hyperspectral; remote sensing; seagrass

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APA (6th Edition):

Wood, J. S. (2013). Hyperspectral analysis of seagrass in Redfish Bay, Texas . (Thesis). Texas A&M University – Corpus Christi. Retrieved from http://hdl.handle.net/1969.6/424

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

Chicago Manual of Style (16th Edition):

Wood, John S. “Hyperspectral analysis of seagrass in Redfish Bay, Texas .” 2013. Thesis, Texas A&M University – Corpus Christi. Accessed October 29, 2020. http://hdl.handle.net/1969.6/424.

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

MLA Handbook (7th Edition):

Wood, John S. “Hyperspectral analysis of seagrass in Redfish Bay, Texas .” 2013. Web. 29 Oct 2020.

Vancouver:

Wood JS. Hyperspectral analysis of seagrass in Redfish Bay, Texas . [Internet] [Thesis]. Texas A&M University – Corpus Christi; 2013. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/1969.6/424.

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

Council of Science Editors:

Wood JS. Hyperspectral analysis of seagrass in Redfish Bay, Texas . [Thesis]. Texas A&M University – Corpus Christi; 2013. Available from: http://hdl.handle.net/1969.6/424

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


University of Victoria

7. MacLeod, Roger. A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic.

Degree: Department of Geography, 2017, University of Victoria

 The upcoming launch of the German hyperspectral satellite: Environmental Mapping and Analysis Program (EnMAP) will provide potential for producing improved remotely sensed maps in areas… (more)

Subjects/Keywords: EnMap; Hyperspectral; Remote sensing; Hope Bay; Satellite

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APA (6th Edition):

MacLeod, R. (2017). A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic. (Masters Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/8699

Chicago Manual of Style (16th Edition):

MacLeod, Roger. “A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic.” 2017. Masters Thesis, University of Victoria. Accessed October 29, 2020. https://dspace.library.uvic.ca//handle/1828/8699.

MLA Handbook (7th Edition):

MacLeod, Roger. “A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic.” 2017. Web. 29 Oct 2020.

Vancouver:

MacLeod R. A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic. [Internet] [Masters thesis]. University of Victoria; 2017. [cited 2020 Oct 29]. Available from: https://dspace.library.uvic.ca//handle/1828/8699.

Council of Science Editors:

MacLeod R. A comparison of airborne and simulated EnMap Hyperspectral Imagery for mapping bedrock classes in the Canadian Arctic. [Masters Thesis]. University of Victoria; 2017. Available from: https://dspace.library.uvic.ca//handle/1828/8699


University of New South Wales

8. Awan, Adnan Farooq. Multi-Sensor Weed Classification using Deep Feature Learning.

Degree: UNSW, 2020, University of New South Wales

 Autonomous weed classification is crucial for effective site-specific weed management. Various remote sensing sensors are available to capture high-resolution multi/hyperspectral images to monitor land cover.… (more)

Subjects/Keywords: Remote Sensing; Deep learning; Hyperspectral imaging

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APA (6th Edition):

Awan, A. F. (2020). Multi-Sensor Weed Classification using Deep Feature Learning. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/70131 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:71967/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Awan, Adnan Farooq. “Multi-Sensor Weed Classification using Deep Feature Learning.” 2020. Doctoral Dissertation, University of New South Wales. Accessed October 29, 2020. http://handle.unsw.edu.au/1959.4/70131 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:71967/SOURCE02?view=true.

MLA Handbook (7th Edition):

Awan, Adnan Farooq. “Multi-Sensor Weed Classification using Deep Feature Learning.” 2020. Web. 29 Oct 2020.

Vancouver:

Awan AF. Multi-Sensor Weed Classification using Deep Feature Learning. [Internet] [Doctoral dissertation]. University of New South Wales; 2020. [cited 2020 Oct 29]. Available from: http://handle.unsw.edu.au/1959.4/70131 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:71967/SOURCE02?view=true.

Council of Science Editors:

Awan AF. Multi-Sensor Weed Classification using Deep Feature Learning. [Doctoral Dissertation]. University of New South Wales; 2020. Available from: http://handle.unsw.edu.au/1959.4/70131 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:71967/SOURCE02?view=true


Oklahoma State University

9. Flynn, K. Colton. Predicting Nutrient Content, Plant Health, and Site Suitability: A Case Study of Eragrostis tef.

Degree: Geography, 2019, Oklahoma State University

 Advancements in agricultural and geographic principals have led to worldwide food and agricultural globalization. Because agricultural production continues to further in global interconnectedness, confirmed precision… (more)

Subjects/Keywords: ethiopia; gis; hyperspectral; remote sensing; r&r

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APA (6th Edition):

Flynn, K. C. (2019). Predicting Nutrient Content, Plant Health, and Site Suitability: A Case Study of Eragrostis tef. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/321521

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

Chicago Manual of Style (16th Edition):

Flynn, K Colton. “Predicting Nutrient Content, Plant Health, and Site Suitability: A Case Study of Eragrostis tef.” 2019. Thesis, Oklahoma State University. Accessed October 29, 2020. http://hdl.handle.net/11244/321521.

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

MLA Handbook (7th Edition):

Flynn, K Colton. “Predicting Nutrient Content, Plant Health, and Site Suitability: A Case Study of Eragrostis tef.” 2019. Web. 29 Oct 2020.

Vancouver:

Flynn KC. Predicting Nutrient Content, Plant Health, and Site Suitability: A Case Study of Eragrostis tef. [Internet] [Thesis]. Oklahoma State University; 2019. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/11244/321521.

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

Council of Science Editors:

Flynn KC. Predicting Nutrient Content, Plant Health, and Site Suitability: A Case Study of Eragrostis tef. [Thesis]. Oklahoma State University; 2019. Available from: http://hdl.handle.net/11244/321521

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

10. Zhang, Kongwen. Exploring Hyperspectral and Very High Spatial Resolution Imagery in Vegetation Characterization.

Degree: PhD, Earth & Space Science, 2015, York University

 This dissertation describes three contributions in the characterization of vegetation canopies using remote sensing data, with a focus on hyperspectral and very high spatial resolution… (more)

Subjects/Keywords: Remote sensing; Forestry; Remote Sensing; Hyperspectral; High spatial resolution imagery

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APA (6th Edition):

Zhang, K. (2015). Exploring Hyperspectral and Very High Spatial Resolution Imagery in Vegetation Characterization. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/29915

Chicago Manual of Style (16th Edition):

Zhang, Kongwen. “Exploring Hyperspectral and Very High Spatial Resolution Imagery in Vegetation Characterization.” 2015. Doctoral Dissertation, York University. Accessed October 29, 2020. http://hdl.handle.net/10315/29915.

MLA Handbook (7th Edition):

Zhang, Kongwen. “Exploring Hyperspectral and Very High Spatial Resolution Imagery in Vegetation Characterization.” 2015. Web. 29 Oct 2020.

Vancouver:

Zhang K. Exploring Hyperspectral and Very High Spatial Resolution Imagery in Vegetation Characterization. [Internet] [Doctoral dissertation]. York University; 2015. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10315/29915.

Council of Science Editors:

Zhang K. Exploring Hyperspectral and Very High Spatial Resolution Imagery in Vegetation Characterization. [Doctoral Dissertation]. York University; 2015. Available from: http://hdl.handle.net/10315/29915


University of Colorado

11. Roberts, Yolanda. Quantifying the Variability of Hyperspectral Earth-reflected Radiation for Climate Studies.

Degree: PhD, Atmospheric & Oceanic Sciences, 2012, University of Colorado

  An accurate assessment of the Earth's energy budget is essential to understanding how the Earth's climate is changing and what processes and feedbacks are… (more)

Subjects/Keywords: Hyperspectral Imaging; Multivariate Analysis; Remote Sensing; Atmospheric Sciences; Climate; Remote Sensing

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APA (6th Edition):

Roberts, Y. (2012). Quantifying the Variability of Hyperspectral Earth-reflected Radiation for Climate Studies. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/atoc_gradetds/27

Chicago Manual of Style (16th Edition):

Roberts, Yolanda. “Quantifying the Variability of Hyperspectral Earth-reflected Radiation for Climate Studies.” 2012. Doctoral Dissertation, University of Colorado. Accessed October 29, 2020. https://scholar.colorado.edu/atoc_gradetds/27.

MLA Handbook (7th Edition):

Roberts, Yolanda. “Quantifying the Variability of Hyperspectral Earth-reflected Radiation for Climate Studies.” 2012. Web. 29 Oct 2020.

Vancouver:

Roberts Y. Quantifying the Variability of Hyperspectral Earth-reflected Radiation for Climate Studies. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2020 Oct 29]. Available from: https://scholar.colorado.edu/atoc_gradetds/27.

Council of Science Editors:

Roberts Y. Quantifying the Variability of Hyperspectral Earth-reflected Radiation for Climate Studies. [Doctoral Dissertation]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/atoc_gradetds/27


Bowling Green State University

12. Romanko, Matthew. Remote Sensing in Precision Agriculture: Monitoring Plant Chlorophyll, and Soil Ammonia, Nitrate, and Phosphate in Corn and Soybean Fields.

Degree: MS, Geology, 2017, Bowling Green State University

 Precision agricultural practices attempt to increase the efficiency of agricultural chemical usage in order to reduce pollution by implementing a variety of technology driven strategies.… (more)

Subjects/Keywords: Remote Sensing; Geology; remote sensing; precision agriculture; soil chemistry; hyperspectral; multispectral

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APA (6th Edition):

Romanko, M. (2017). Remote Sensing in Precision Agriculture: Monitoring Plant Chlorophyll, and Soil Ammonia, Nitrate, and Phosphate in Corn and Soybean Fields. (Masters Thesis). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1490964339514842

Chicago Manual of Style (16th Edition):

Romanko, Matthew. “Remote Sensing in Precision Agriculture: Monitoring Plant Chlorophyll, and Soil Ammonia, Nitrate, and Phosphate in Corn and Soybean Fields.” 2017. Masters Thesis, Bowling Green State University. Accessed October 29, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1490964339514842.

MLA Handbook (7th Edition):

Romanko, Matthew. “Remote Sensing in Precision Agriculture: Monitoring Plant Chlorophyll, and Soil Ammonia, Nitrate, and Phosphate in Corn and Soybean Fields.” 2017. Web. 29 Oct 2020.

Vancouver:

Romanko M. Remote Sensing in Precision Agriculture: Monitoring Plant Chlorophyll, and Soil Ammonia, Nitrate, and Phosphate in Corn and Soybean Fields. [Internet] [Masters thesis]. Bowling Green State University; 2017. [cited 2020 Oct 29]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1490964339514842.

Council of Science Editors:

Romanko M. Remote Sensing in Precision Agriculture: Monitoring Plant Chlorophyll, and Soil Ammonia, Nitrate, and Phosphate in Corn and Soybean Fields. [Masters Thesis]. Bowling Green State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1490964339514842


George Mason University

13. Powell, John H. A Spectral Climatology for Atmospheric Compensation of Hyperspectral Imagery .

Degree: 2015, George Mason University

 Most Earth observation hyperspectral imagery (HSI) detection and identification algorithms depend critically upon a robust atmospheric compensation capability to correct for the effects of the… (more)

Subjects/Keywords: Remote sensing; Atmospheric sciences; atmospheric compensation; empirical line method; HSI; hyperspectral; remote sensing

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APA (6th Edition):

Powell, J. H. (2015). A Spectral Climatology for Atmospheric Compensation of Hyperspectral Imagery . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/9624

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

Chicago Manual of Style (16th Edition):

Powell, John H. “A Spectral Climatology for Atmospheric Compensation of Hyperspectral Imagery .” 2015. Thesis, George Mason University. Accessed October 29, 2020. http://hdl.handle.net/1920/9624.

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

MLA Handbook (7th Edition):

Powell, John H. “A Spectral Climatology for Atmospheric Compensation of Hyperspectral Imagery .” 2015. Web. 29 Oct 2020.

Vancouver:

Powell JH. A Spectral Climatology for Atmospheric Compensation of Hyperspectral Imagery . [Internet] [Thesis]. George Mason University; 2015. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/1920/9624.

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

Council of Science Editors:

Powell JH. A Spectral Climatology for Atmospheric Compensation of Hyperspectral Imagery . [Thesis]. George Mason University; 2015. Available from: http://hdl.handle.net/1920/9624

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


University of North Texas

14. Matsubayashi, Shiho. Quantifying Forest Vertical Structure to Determine Bird Habitat Quality in the Greenbelt Corridor, Denton, Tx.

Degree: 2013, University of North Texas

 This study presents the integration of light detection and range (LiDAR) and hyperspectral remote sensing to create a three-dimensional bird habitat map in the Greenbelt… (more)

Subjects/Keywords: LiDAR; habitat assessment; hyperspectral remote sensing; remote sensing; forest structure; bottomland hardwood forest

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APA (6th Edition):

Matsubayashi, S. (2013). Quantifying Forest Vertical Structure to Determine Bird Habitat Quality in the Greenbelt Corridor, Denton, Tx. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc283803/

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

Chicago Manual of Style (16th Edition):

Matsubayashi, Shiho. “Quantifying Forest Vertical Structure to Determine Bird Habitat Quality in the Greenbelt Corridor, Denton, Tx.” 2013. Thesis, University of North Texas. Accessed October 29, 2020. https://digital.library.unt.edu/ark:/67531/metadc283803/.

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

MLA Handbook (7th Edition):

Matsubayashi, Shiho. “Quantifying Forest Vertical Structure to Determine Bird Habitat Quality in the Greenbelt Corridor, Denton, Tx.” 2013. Web. 29 Oct 2020.

Vancouver:

Matsubayashi S. Quantifying Forest Vertical Structure to Determine Bird Habitat Quality in the Greenbelt Corridor, Denton, Tx. [Internet] [Thesis]. University of North Texas; 2013. [cited 2020 Oct 29]. Available from: https://digital.library.unt.edu/ark:/67531/metadc283803/.

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

Council of Science Editors:

Matsubayashi S. Quantifying Forest Vertical Structure to Determine Bird Habitat Quality in the Greenbelt Corridor, Denton, Tx. [Thesis]. University of North Texas; 2013. Available from: https://digital.library.unt.edu/ark:/67531/metadc283803/

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


University of Dayton

15. Morman, Christopher Joseph. Hyperspectral Target Detection Performance Modeling.

Degree: MS(M.S.), Electrical Engineering, 2015, University of Dayton

Hyperspectral remote sensing has become a popular topic of research due to the numerous applications stemming from the high dimensionality of the recorded spectral data.… (more)

Subjects/Keywords: Electrical Engineering; Remote Sensing; Statistics; Hyperspectral; Remote Sensing; Target Detection; Performance Modeling

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APA (6th Edition):

Morman, C. J. (2015). Hyperspectral Target Detection Performance Modeling. (Masters Thesis). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1446587051

Chicago Manual of Style (16th Edition):

Morman, Christopher Joseph. “Hyperspectral Target Detection Performance Modeling.” 2015. Masters Thesis, University of Dayton. Accessed October 29, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1446587051.

MLA Handbook (7th Edition):

Morman, Christopher Joseph. “Hyperspectral Target Detection Performance Modeling.” 2015. Web. 29 Oct 2020.

Vancouver:

Morman CJ. Hyperspectral Target Detection Performance Modeling. [Internet] [Masters thesis]. University of Dayton; 2015. [cited 2020 Oct 29]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1446587051.

Council of Science Editors:

Morman CJ. Hyperspectral Target Detection Performance Modeling. [Masters Thesis]. University of Dayton; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1446587051

16. Gaudfrin, Florian. Lidar supercontinuum pour la caractérisation spectrale des milieux diffusants à haute résolution spatiale : Étude numérique et développement instrumental : Supercontinuum lidar for the spectral characterization of scattering media with high spatial resolution : Numerical study and instrumental conception.

Degree: Docteur es, Physique - Océan, atmosphère et surfaces continentales, 2020, Toulouse, ISAE

Les méthodes de diagnostic par méthode lidar donnent des informations sur les paramètres optiques du milieu (coefficients de diffusion et d’absorption). Ces grandeurs dépendent des… (more)

Subjects/Keywords: Lidar; Télédétection; Laser supercontinuum; Hyperspectral; Diffusion; Aérosols; Lidar; Remote sensing; Supercontinuum laser; Hyperspectral; Scattering; Aerosols

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APA (6th Edition):

Gaudfrin, F. (2020). Lidar supercontinuum pour la caractérisation spectrale des milieux diffusants à haute résolution spatiale : Étude numérique et développement instrumental : Supercontinuum lidar for the spectral characterization of scattering media with high spatial resolution : Numerical study and instrumental conception. (Doctoral Dissertation). Toulouse, ISAE. Retrieved from http://www.theses.fr/2020ESAE0007

Chicago Manual of Style (16th Edition):

Gaudfrin, Florian. “Lidar supercontinuum pour la caractérisation spectrale des milieux diffusants à haute résolution spatiale : Étude numérique et développement instrumental : Supercontinuum lidar for the spectral characterization of scattering media with high spatial resolution : Numerical study and instrumental conception.” 2020. Doctoral Dissertation, Toulouse, ISAE. Accessed October 29, 2020. http://www.theses.fr/2020ESAE0007.

MLA Handbook (7th Edition):

Gaudfrin, Florian. “Lidar supercontinuum pour la caractérisation spectrale des milieux diffusants à haute résolution spatiale : Étude numérique et développement instrumental : Supercontinuum lidar for the spectral characterization of scattering media with high spatial resolution : Numerical study and instrumental conception.” 2020. Web. 29 Oct 2020.

Vancouver:

Gaudfrin F. Lidar supercontinuum pour la caractérisation spectrale des milieux diffusants à haute résolution spatiale : Étude numérique et développement instrumental : Supercontinuum lidar for the spectral characterization of scattering media with high spatial resolution : Numerical study and instrumental conception. [Internet] [Doctoral dissertation]. Toulouse, ISAE; 2020. [cited 2020 Oct 29]. Available from: http://www.theses.fr/2020ESAE0007.

Council of Science Editors:

Gaudfrin F. Lidar supercontinuum pour la caractérisation spectrale des milieux diffusants à haute résolution spatiale : Étude numérique et développement instrumental : Supercontinuum lidar for the spectral characterization of scattering media with high spatial resolution : Numerical study and instrumental conception. [Doctoral Dissertation]. Toulouse, ISAE; 2020. Available from: http://www.theses.fr/2020ESAE0007


Rochester Institute of Technology

17. Hughes, Ethan W. Spatially-explicit Snap Bean Flowering and Disease Prediction Using Imaging Spectroscopy from Unmanned Aerial Systems.

Degree: MS, Chester F. Carlson Center for Imaging Science (COS), 2019, Rochester Institute of Technology

  Sclerotinia sclerotiorum, or white mold, is a fungus that infects the flowers of snap bean plants and causes a subsequent reduction in snap bean… (more)

Subjects/Keywords: Hyperspectral; Machine learning; Remote sensing; Spectroscopy; Unmanned aerial systems; White mold

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APA (6th Edition):

Hughes, E. W. (2019). Spatially-explicit Snap Bean Flowering and Disease Prediction Using Imaging Spectroscopy from Unmanned Aerial Systems. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10277

Chicago Manual of Style (16th Edition):

Hughes, Ethan W. “Spatially-explicit Snap Bean Flowering and Disease Prediction Using Imaging Spectroscopy from Unmanned Aerial Systems.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed October 29, 2020. https://scholarworks.rit.edu/theses/10277.

MLA Handbook (7th Edition):

Hughes, Ethan W. “Spatially-explicit Snap Bean Flowering and Disease Prediction Using Imaging Spectroscopy from Unmanned Aerial Systems.” 2019. Web. 29 Oct 2020.

Vancouver:

Hughes EW. Spatially-explicit Snap Bean Flowering and Disease Prediction Using Imaging Spectroscopy from Unmanned Aerial Systems. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2020 Oct 29]. Available from: https://scholarworks.rit.edu/theses/10277.

Council of Science Editors:

Hughes EW. Spatially-explicit Snap Bean Flowering and Disease Prediction Using Imaging Spectroscopy from Unmanned Aerial Systems. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10277


University of Manchester

18. Cole, Elizabeth. High Resolution Remote Sensing for Landscape Scale Restoration of Peatland.

Degree: 2013, University of Manchester

 Upland peatlands provide vital ecosystem services, especially carbon storage and biodiversity. However, large areas of peatland are heavily degraded in the UK. When peat becomes… (more)

Subjects/Keywords: Hyperspectral Remote Sensing; Peatland; Restoration Monitoring; Upland Vegetation; Field Specroscopy

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

APA (6th Edition):

Cole, E. (2013). High Resolution Remote Sensing for Landscape Scale Restoration of Peatland. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:184448

Chicago Manual of Style (16th Edition):

Cole, Elizabeth. “High Resolution Remote Sensing for Landscape Scale Restoration of Peatland.” 2013. Doctoral Dissertation, University of Manchester. Accessed October 29, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:184448.

MLA Handbook (7th Edition):

Cole, Elizabeth. “High Resolution Remote Sensing for Landscape Scale Restoration of Peatland.” 2013. Web. 29 Oct 2020.

Vancouver:

Cole E. High Resolution Remote Sensing for Landscape Scale Restoration of Peatland. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2020 Oct 29]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:184448.

Council of Science Editors:

Cole E. High Resolution Remote Sensing for Landscape Scale Restoration of Peatland. [Doctoral Dissertation]. University of Manchester; 2013. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:184448


University of Adelaide

19. Caruso, Alicia Sophia. Integration of advanced remote sensing and geospatial methodologies to enhance mineral exploration: An example from the southern Gawler Ranges, South Australia.

Degree: 2020, University of Adelaide

 The world’s demand for metals is increasing and there is a growing need for mineral explorers to locate new ore deposits. Globally, discovery of economic… (more)

Subjects/Keywords: Remote Sensing; Geospatial; Hyperspectral; Gawler Ranges; Geochemistry; Mineral Exploration; Regolith

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APA (6th Edition):

Caruso, A. S. (2020). Integration of advanced remote sensing and geospatial methodologies to enhance mineral exploration: An example from the southern Gawler Ranges, South Australia. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/127003

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

Chicago Manual of Style (16th Edition):

Caruso, Alicia Sophia. “Integration of advanced remote sensing and geospatial methodologies to enhance mineral exploration: An example from the southern Gawler Ranges, South Australia.” 2020. Thesis, University of Adelaide. Accessed October 29, 2020. http://hdl.handle.net/2440/127003.

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

MLA Handbook (7th Edition):

Caruso, Alicia Sophia. “Integration of advanced remote sensing and geospatial methodologies to enhance mineral exploration: An example from the southern Gawler Ranges, South Australia.” 2020. Web. 29 Oct 2020.

Vancouver:

Caruso AS. Integration of advanced remote sensing and geospatial methodologies to enhance mineral exploration: An example from the southern Gawler Ranges, South Australia. [Internet] [Thesis]. University of Adelaide; 2020. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/2440/127003.

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

Council of Science Editors:

Caruso AS. Integration of advanced remote sensing and geospatial methodologies to enhance mineral exploration: An example from the southern Gawler Ranges, South Australia. [Thesis]. University of Adelaide; 2020. Available from: http://hdl.handle.net/2440/127003

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


University of Colorado

20. McBride, Patrick J. Cloud shortwave spectral transmittance: applications in remote sensing and aerosol-cloud interactions.

Degree: PhD, Atmospheric & Oceanic Sciences, 2012, University of Colorado

  A long record of cloud optical thickness and effective particle radius retrieved from cloud reflectance exists with no comparable dataset retrieved from cloud transmittance.… (more)

Subjects/Keywords: Clouds; Cloud transmittance; Hyperspectral; Radiative transfer; Spectral; Atmospheric Sciences; Remote Sensing

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APA (6th Edition):

McBride, P. J. (2012). Cloud shortwave spectral transmittance: applications in remote sensing and aerosol-cloud interactions. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/atoc_gradetds/26

Chicago Manual of Style (16th Edition):

McBride, Patrick J. “Cloud shortwave spectral transmittance: applications in remote sensing and aerosol-cloud interactions.” 2012. Doctoral Dissertation, University of Colorado. Accessed October 29, 2020. https://scholar.colorado.edu/atoc_gradetds/26.

MLA Handbook (7th Edition):

McBride, Patrick J. “Cloud shortwave spectral transmittance: applications in remote sensing and aerosol-cloud interactions.” 2012. Web. 29 Oct 2020.

Vancouver:

McBride PJ. Cloud shortwave spectral transmittance: applications in remote sensing and aerosol-cloud interactions. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2020 Oct 29]. Available from: https://scholar.colorado.edu/atoc_gradetds/26.

Council of Science Editors:

McBride PJ. Cloud shortwave spectral transmittance: applications in remote sensing and aerosol-cloud interactions. [Doctoral Dissertation]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/atoc_gradetds/26


University of Adelaide

21. Summers, David. Discriminating and mapping soil variability with hyperspectral reflectance data.

Degree: 2009, University of Adelaide

 The classification and mapping of soils and soil variability is important for a variety of environmental and agricultural applications. Advances in precision agriculture, better understanding… (more)

Subjects/Keywords: soil; remote sensing; hyperspectral; agriculture

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APA (6th Edition):

Summers, D. (2009). Discriminating and mapping soil variability with hyperspectral reflectance data. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/62487

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

Chicago Manual of Style (16th Edition):

Summers, David. “Discriminating and mapping soil variability with hyperspectral reflectance data.” 2009. Thesis, University of Adelaide. Accessed October 29, 2020. http://hdl.handle.net/2440/62487.

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

MLA Handbook (7th Edition):

Summers, David. “Discriminating and mapping soil variability with hyperspectral reflectance data.” 2009. Web. 29 Oct 2020.

Vancouver:

Summers D. Discriminating and mapping soil variability with hyperspectral reflectance data. [Internet] [Thesis]. University of Adelaide; 2009. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/2440/62487.

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

Council of Science Editors:

Summers D. Discriminating and mapping soil variability with hyperspectral reflectance data. [Thesis]. University of Adelaide; 2009. Available from: http://hdl.handle.net/2440/62487

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

22. Zhou, Qiang. Assessing The Biophysical Naturalness Of Grassland In Eastern North Dakota With Hyperspectral Imagery.

Degree: MS, Earth System Science & Policy, 2012, University of North Dakota

  Over the past two decades, non-native species within grassland communities have quickly developed due to human migration and commerce. Invasive species like Smooth Brome… (more)

Subjects/Keywords: Biodiversity; Grassland; Hyperspectral; Invasive Species; North Dakota; Remote Sensing

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

APA (6th Edition):

Zhou, Q. (2012). Assessing The Biophysical Naturalness Of Grassland In Eastern North Dakota With Hyperspectral Imagery. (Masters Thesis). University of North Dakota. Retrieved from https://commons.und.edu/theses/1218

Chicago Manual of Style (16th Edition):

Zhou, Qiang. “Assessing The Biophysical Naturalness Of Grassland In Eastern North Dakota With Hyperspectral Imagery.” 2012. Masters Thesis, University of North Dakota. Accessed October 29, 2020. https://commons.und.edu/theses/1218.

MLA Handbook (7th Edition):

Zhou, Qiang. “Assessing The Biophysical Naturalness Of Grassland In Eastern North Dakota With Hyperspectral Imagery.” 2012. Web. 29 Oct 2020.

Vancouver:

Zhou Q. Assessing The Biophysical Naturalness Of Grassland In Eastern North Dakota With Hyperspectral Imagery. [Internet] [Masters thesis]. University of North Dakota; 2012. [cited 2020 Oct 29]. Available from: https://commons.und.edu/theses/1218.

Council of Science Editors:

Zhou Q. Assessing The Biophysical Naturalness Of Grassland In Eastern North Dakota With Hyperspectral Imagery. [Masters Thesis]. University of North Dakota; 2012. Available from: https://commons.und.edu/theses/1218


University of Manchester

23. Cole, Elizabeth. High resolution remote sensing for landscape scale restoration of peatland.

Degree: PhD, 2013, University of Manchester

 Upland peatlands provide vital ecosystem services, especially carbon storage and biodiversity. However, large areas of peatland are heavily degraded in the UK. When peat becomes… (more)

Subjects/Keywords: 333.91; Hyperspectral Remote Sensing; Peatland; Restoration Monitoring; Upland Vegetation; Field Specroscopy

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APA (6th Edition):

Cole, E. (2013). High resolution remote sensing for landscape scale restoration of peatland. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/high-resolution-remote-sensing-for-landscape-scale-restoration-of-peatland(a3777efd-0f95-4fdc-bac3-13d5020d4105).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.632194

Chicago Manual of Style (16th Edition):

Cole, Elizabeth. “High resolution remote sensing for landscape scale restoration of peatland.” 2013. Doctoral Dissertation, University of Manchester. Accessed October 29, 2020. https://www.research.manchester.ac.uk/portal/en/theses/high-resolution-remote-sensing-for-landscape-scale-restoration-of-peatland(a3777efd-0f95-4fdc-bac3-13d5020d4105).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.632194.

MLA Handbook (7th Edition):

Cole, Elizabeth. “High resolution remote sensing for landscape scale restoration of peatland.” 2013. Web. 29 Oct 2020.

Vancouver:

Cole E. High resolution remote sensing for landscape scale restoration of peatland. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2020 Oct 29]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/high-resolution-remote-sensing-for-landscape-scale-restoration-of-peatland(a3777efd-0f95-4fdc-bac3-13d5020d4105).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.632194.

Council of Science Editors:

Cole E. High resolution remote sensing for landscape scale restoration of peatland. [Doctoral Dissertation]. University of Manchester; 2013. Available from: https://www.research.manchester.ac.uk/portal/en/theses/high-resolution-remote-sensing-for-landscape-scale-restoration-of-peatland(a3777efd-0f95-4fdc-bac3-13d5020d4105).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.632194


George Mason University

24. Cox, Cary M. Spatial-Spectral Approaches to Edge Detection in Hyperspectral Remote Sensing .

Degree: 2017, George Mason University

 This dissertation advances geoinformation science at the intersection of hyperspectral remote sensing and edge detection methods. A relatively new phenomenology among its remote sensing peers,… (more)

Subjects/Keywords: Remote sensing; Geography; edge detection; gradient; hyperspectral; HySPADE; level set; spatial

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APA (6th Edition):

Cox, C. M. (2017). Spatial-Spectral Approaches to Edge Detection in Hyperspectral Remote Sensing . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/11247

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

Chicago Manual of Style (16th Edition):

Cox, Cary M. “Spatial-Spectral Approaches to Edge Detection in Hyperspectral Remote Sensing .” 2017. Thesis, George Mason University. Accessed October 29, 2020. http://hdl.handle.net/1920/11247.

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

MLA Handbook (7th Edition):

Cox, Cary M. “Spatial-Spectral Approaches to Edge Detection in Hyperspectral Remote Sensing .” 2017. Web. 29 Oct 2020.

Vancouver:

Cox CM. Spatial-Spectral Approaches to Edge Detection in Hyperspectral Remote Sensing . [Internet] [Thesis]. George Mason University; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/1920/11247.

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

Council of Science Editors:

Cox CM. Spatial-Spectral Approaches to Edge Detection in Hyperspectral Remote Sensing . [Thesis]. George Mason University; 2017. Available from: http://hdl.handle.net/1920/11247

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


University of Hawaii – Manoa

25. Lindquist, Mahany C. Estimating Canopy Bulk Density (CBD) Using Discrete-Return LiDAR and Hyperspectral Imagery.

Degree: 2015, University of Hawaii – Manoa

MA University of Hawaii at Manoa 2014

The objective of this research is to estimate canopy bulk density (CBD) using discretereturn LiDAR data and hyperspectral(more)

Subjects/Keywords: canopy bulk density; LiDAR; hyperspectral; remote sensing; wildfires

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APA (6th Edition):

Lindquist, M. C. (2015). Estimating Canopy Bulk Density (CBD) Using Discrete-Return LiDAR and Hyperspectral Imagery. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/101112

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

Chicago Manual of Style (16th Edition):

Lindquist, Mahany C. “Estimating Canopy Bulk Density (CBD) Using Discrete-Return LiDAR and Hyperspectral Imagery.” 2015. Thesis, University of Hawaii – Manoa. Accessed October 29, 2020. http://hdl.handle.net/10125/101112.

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

MLA Handbook (7th Edition):

Lindquist, Mahany C. “Estimating Canopy Bulk Density (CBD) Using Discrete-Return LiDAR and Hyperspectral Imagery.” 2015. Web. 29 Oct 2020.

Vancouver:

Lindquist MC. Estimating Canopy Bulk Density (CBD) Using Discrete-Return LiDAR and Hyperspectral Imagery. [Internet] [Thesis]. University of Hawaii – Manoa; 2015. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10125/101112.

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

Council of Science Editors:

Lindquist MC. Estimating Canopy Bulk Density (CBD) Using Discrete-Return LiDAR and Hyperspectral Imagery. [Thesis]. University of Hawaii – Manoa; 2015. Available from: http://hdl.handle.net/10125/101112

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


Universidad de Extremadura

26. Jiménez Gil, Luis Ignacio. HYPERMIX: Una nueva herramienta para desmezclado de imágnes hiperespectrales en GPUs .

Degree: 2017, Universidad de Extremadura

 El desmezclado espectral es un problema muy importante dentro del aprovechamiento de imágenes hiperespectrales en teledetección, teniendo en su mayoría una resolución espacial limitada que… (more)

Subjects/Keywords: Teledetección; GPUs; Análisis Hiperespectral; Remote Sensing; Hyperspectral Analysis

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APA (6th Edition):

Jiménez Gil, L. I. (2017). HYPERMIX: Una nueva herramienta para desmezclado de imágnes hiperespectrales en GPUs . (Thesis). Universidad de Extremadura. Retrieved from http://hdl.handle.net/10662/5088

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

Chicago Manual of Style (16th Edition):

Jiménez Gil, Luis Ignacio. “HYPERMIX: Una nueva herramienta para desmezclado de imágnes hiperespectrales en GPUs .” 2017. Thesis, Universidad de Extremadura. Accessed October 29, 2020. http://hdl.handle.net/10662/5088.

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

MLA Handbook (7th Edition):

Jiménez Gil, Luis Ignacio. “HYPERMIX: Una nueva herramienta para desmezclado de imágnes hiperespectrales en GPUs .” 2017. Web. 29 Oct 2020.

Vancouver:

Jiménez Gil LI. HYPERMIX: Una nueva herramienta para desmezclado de imágnes hiperespectrales en GPUs . [Internet] [Thesis]. Universidad de Extremadura; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10662/5088.

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

Council of Science Editors:

Jiménez Gil LI. HYPERMIX: Una nueva herramienta para desmezclado de imágnes hiperespectrales en GPUs . [Thesis]. Universidad de Extremadura; 2017. Available from: http://hdl.handle.net/10662/5088

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


Virginia Tech

27. Banskota, Asim. The discrete wavelet transform as a precursor to leaf area index estimation and species classification using airborne hyperspectral data.

Degree: PhD, Forestry, 2011, Virginia Tech

 The need for an efficient dimensionality reduction technique has remained a critical challenge for effective analysis of hyperspectral data for vegetation applications. Discrete wavelet transform… (more)

Subjects/Keywords: hyperspectral remote sensing; LUT inversion; DART; LAI; wavelet transform

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APA (6th Edition):

Banskota, A. (2011). The discrete wavelet transform as a precursor to leaf area index estimation and species classification using airborne hyperspectral data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/39188

Chicago Manual of Style (16th Edition):

Banskota, Asim. “The discrete wavelet transform as a precursor to leaf area index estimation and species classification using airborne hyperspectral data.” 2011. Doctoral Dissertation, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/39188.

MLA Handbook (7th Edition):

Banskota, Asim. “The discrete wavelet transform as a precursor to leaf area index estimation and species classification using airborne hyperspectral data.” 2011. Web. 29 Oct 2020.

Vancouver:

Banskota A. The discrete wavelet transform as a precursor to leaf area index estimation and species classification using airborne hyperspectral data. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/39188.

Council of Science Editors:

Banskota A. The discrete wavelet transform as a precursor to leaf area index estimation and species classification using airborne hyperspectral data. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/39188


University of Cambridge

28. Brown, Jennifer Anne. Remote sensing of penguin populations : development and application of a satellite-based method.

Degree: PhD, 2018, University of Cambridge

 Five penguin species breed in Antarctica: emperors, Adélies, chinstraps, gentoos and macaronis. These are important Antarctic mid-trophic level predators and under predicted climate change are… (more)

Subjects/Keywords: 578.7; remote sensing; penguins; guano; Pygoscelis; Signy; hyperspectral; Antarctica; satellite

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APA (6th Edition):

Brown, J. A. (2018). Remote sensing of penguin populations : development and application of a satellite-based method. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.25245 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753350

Chicago Manual of Style (16th Edition):

Brown, Jennifer Anne. “Remote sensing of penguin populations : development and application of a satellite-based method.” 2018. Doctoral Dissertation, University of Cambridge. Accessed October 29, 2020. https://doi.org/10.17863/CAM.25245 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753350.

MLA Handbook (7th Edition):

Brown, Jennifer Anne. “Remote sensing of penguin populations : development and application of a satellite-based method.” 2018. Web. 29 Oct 2020.

Vancouver:

Brown JA. Remote sensing of penguin populations : development and application of a satellite-based method. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2020 Oct 29]. Available from: https://doi.org/10.17863/CAM.25245 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753350.

Council of Science Editors:

Brown JA. Remote sensing of penguin populations : development and application of a satellite-based method. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://doi.org/10.17863/CAM.25245 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753350


University of Sydney

29. Schneider, Sven. A probablistic framework for classification and fusion of remotely sensed hyperspectral data .

Degree: 2013, University of Sydney

 Reliable and accurate material identification is a crucial component underlying higher-level autonomous tasks within the context of autonomous mining. Such tasks can include exploration, reconnaissance… (more)

Subjects/Keywords: hyperspectral; remote sensing; vertical geology; Gaussian Processes; machine learning

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

APA (6th Edition):

Schneider, S. (2013). A probablistic framework for classification and fusion of remotely sensed hyperspectral data . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9407

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

Chicago Manual of Style (16th Edition):

Schneider, Sven. “A probablistic framework for classification and fusion of remotely sensed hyperspectral data .” 2013. Thesis, University of Sydney. Accessed October 29, 2020. http://hdl.handle.net/2123/9407.

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

MLA Handbook (7th Edition):

Schneider, Sven. “A probablistic framework for classification and fusion of remotely sensed hyperspectral data .” 2013. Web. 29 Oct 2020.

Vancouver:

Schneider S. A probablistic framework for classification and fusion of remotely sensed hyperspectral data . [Internet] [Thesis]. University of Sydney; 2013. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/2123/9407.

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

Council of Science Editors:

Schneider S. A probablistic framework for classification and fusion of remotely sensed hyperspectral data . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9407

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


University of Cincinnati

30. Allender, Elyse J. Automated Tools and Techniques for Mars Forward Exploration.

Degree: PhD, Arts and Sciences: Geography, 2016, University of Cincinnati

 This dissertation introduces an automated method for exploring hyperspectral images takenby the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) instrument onboard theMars Reconnaissance Orbiter. The… (more)

Subjects/Keywords: Geography; Mars; Hyperspectral; Remote Sensing; Lunar; Gullies; CRISM

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

APA (6th Edition):

Allender, E. J. (2016). Automated Tools and Techniques for Mars Forward Exploration. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1480328341223151

Chicago Manual of Style (16th Edition):

Allender, Elyse J. “Automated Tools and Techniques for Mars Forward Exploration.” 2016. Doctoral Dissertation, University of Cincinnati. Accessed October 29, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1480328341223151.

MLA Handbook (7th Edition):

Allender, Elyse J. “Automated Tools and Techniques for Mars Forward Exploration.” 2016. Web. 29 Oct 2020.

Vancouver:

Allender EJ. Automated Tools and Techniques for Mars Forward Exploration. [Internet] [Doctoral dissertation]. University of Cincinnati; 2016. [cited 2020 Oct 29]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1480328341223151.

Council of Science Editors:

Allender EJ. Automated Tools and Techniques for Mars Forward Exploration. [Doctoral Dissertation]. University of Cincinnati; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1480328341223151

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