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You searched for +publisher:"University of Florida" +contributor:("Abd-Elrahman, Amr H."). Showing records 1 – 19 of 19 total matches.

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University of Florida

1. Crockett, Christopher D. Evaluation of in Situ Detection Methods for Twospotted Spider Mites (Tetranychus urticae Koch) in Strawberry.

Degree: MS, Entomology and Nematology, 2015, University of Florida

 Previous research aimed at developing a sampling and detection program using remote sensing with the Greenseeker near infrared (NIR) sensor successfully recognized infested strawberry plants… (more)

Subjects/Keywords: Calibration; Leaves; Mites; Modeling; Reflectance; Spiders; Statistical discrepancies; Strawberries; Vegetation; Wavelengths; grvi  – imagery  – ndvi  – near-infrared  – reflectance  – spectroscopy  – strawberries  – tetranychus  – visible

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APA (6th Edition):

Crockett, C. D. (2015). Evaluation of in Situ Detection Methods for Twospotted Spider Mites (Tetranychus urticae Koch) in Strawberry. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049382

Chicago Manual of Style (16th Edition):

Crockett, Christopher D. “Evaluation of in Situ Detection Methods for Twospotted Spider Mites (Tetranychus urticae Koch) in Strawberry.” 2015. Masters Thesis, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0049382.

MLA Handbook (7th Edition):

Crockett, Christopher D. “Evaluation of in Situ Detection Methods for Twospotted Spider Mites (Tetranychus urticae Koch) in Strawberry.” 2015. Web. 14 Oct 2019.

Vancouver:

Crockett CD. Evaluation of in Situ Detection Methods for Twospotted Spider Mites (Tetranychus urticae Koch) in Strawberry. [Internet] [Masters thesis]. University of Florida; 2015. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0049382.

Council of Science Editors:

Crockett CD. Evaluation of in Situ Detection Methods for Twospotted Spider Mites (Tetranychus urticae Koch) in Strawberry. [Masters Thesis]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049382


University of Florida

2. Sassi, Naoufal. Mobile Ground-Based Hyperspectral System Image Georeferencing.

Degree: MS, Forest Resources and Conservation, 2014, University of Florida

The utilization of hyperspectral data is increasingly gaining momentum within a wide array of fields and disciplines, such as, agriculture, geological survey, engineering, mineralogy and environmental studies. Advisors/Committee Members: ABD-ELRAHMAN,AMR H (committee chair), DEWITT,BON A (committee member).

Subjects/Keywords: Agriculture; Boresights; Calibration; Coordinate systems; Digital elevation models; Global positioning systems; Pavements; Sensors; Software; Trajectories; hyperspectral

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APA (6th Edition):

Sassi, N. (2014). Mobile Ground-Based Hyperspectral System Image Georeferencing. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047601

Chicago Manual of Style (16th Edition):

Sassi, Naoufal. “Mobile Ground-Based Hyperspectral System Image Georeferencing.” 2014. Masters Thesis, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0047601.

MLA Handbook (7th Edition):

Sassi, Naoufal. “Mobile Ground-Based Hyperspectral System Image Georeferencing.” 2014. Web. 14 Oct 2019.

Vancouver:

Sassi N. Mobile Ground-Based Hyperspectral System Image Georeferencing. [Internet] [Masters thesis]. University of Florida; 2014. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0047601.

Council of Science Editors:

Sassi N. Mobile Ground-Based Hyperspectral System Image Georeferencing. [Masters Thesis]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047601


University of Florida

3. Malone, Sparkle. Effect of Fire Size and Severity on Subsequent Fires Using Differenced Normalized Burn Ratios in Pine Dominated Flatwood Forests in Florida.

Degree: MS, Forest Resources and Conservation, 2010, University of Florida

 EFFECT OF FIRE SIZE AND SEVERITY ON SUBSEQUENT FIRES USING DIFFERENCED NORMALIZED BURN RATIOS IN PINE DOMINATED FLATWOOD FORESTS IN FLORIDA Florida forests naturally experienced… (more)

Subjects/Keywords: Burning; Fire severity; Fires; Forest fires; Forests; Parametric models; Prescribed burning; Probabilities; Vegetation; Wildfires; fire, normalized, osceola, pine, precribed, wildfire

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APA (6th Edition):

Malone, S. (2010). Effect of Fire Size and Severity on Subsequent Fires Using Differenced Normalized Burn Ratios in Pine Dominated Flatwood Forests in Florida. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042271

Chicago Manual of Style (16th Edition):

Malone, Sparkle. “Effect of Fire Size and Severity on Subsequent Fires Using Differenced Normalized Burn Ratios in Pine Dominated Flatwood Forests in Florida.” 2010. Masters Thesis, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0042271.

MLA Handbook (7th Edition):

Malone, Sparkle. “Effect of Fire Size and Severity on Subsequent Fires Using Differenced Normalized Burn Ratios in Pine Dominated Flatwood Forests in Florida.” 2010. Web. 14 Oct 2019.

Vancouver:

Malone S. Effect of Fire Size and Severity on Subsequent Fires Using Differenced Normalized Burn Ratios in Pine Dominated Flatwood Forests in Florida. [Internet] [Masters thesis]. University of Florida; 2010. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0042271.

Council of Science Editors:

Malone S. Effect of Fire Size and Severity on Subsequent Fires Using Differenced Normalized Burn Ratios in Pine Dominated Flatwood Forests in Florida. [Masters Thesis]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042271


University of Florida

4. Dix, Michael. Accuracy Evaluation of Terrestrial Lidar and Multibeam Sonar Systems Mounted on a Survey Vessel.

Degree: MS, Forest Resources and Conservation, 2010, University of Florida

 ACCURACY EVALUATION OF TERRESTRIAL LIDAR AND MULTIBEAM SONAR SYSTEMS MOUNTED ON A SURVEY VESSEL There is an emerging demand for data that can accurately describe… (more)

Subjects/Keywords: Antennas; Boresights; Calibration; Coordinate systems; Datasets; Error rates; Global positioning systems; Sensors; Sonar; Standard deviation; applanix, echosounder, error, gnss, gps, inertial, lidar, mbes, multibeam, pos, r2sonic, sbet, terrestrial

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APA (6th Edition):

Dix, M. (2010). Accuracy Evaluation of Terrestrial Lidar and Multibeam Sonar Systems Mounted on a Survey Vessel. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042609

Chicago Manual of Style (16th Edition):

Dix, Michael. “Accuracy Evaluation of Terrestrial Lidar and Multibeam Sonar Systems Mounted on a Survey Vessel.” 2010. Masters Thesis, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0042609.

MLA Handbook (7th Edition):

Dix, Michael. “Accuracy Evaluation of Terrestrial Lidar and Multibeam Sonar Systems Mounted on a Survey Vessel.” 2010. Web. 14 Oct 2019.

Vancouver:

Dix M. Accuracy Evaluation of Terrestrial Lidar and Multibeam Sonar Systems Mounted on a Survey Vessel. [Internet] [Masters thesis]. University of Florida; 2010. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0042609.

Council of Science Editors:

Dix M. Accuracy Evaluation of Terrestrial Lidar and Multibeam Sonar Systems Mounted on a Survey Vessel. [Masters Thesis]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042609


University of Florida

5. Ajaz Ahmed, Mukhtar Ahmed. Identifying Significant Drivers for the Aboveground Biomass and Water Yield Ecosystem Services at the Watershed Level in the Southeastern Usa.

Degree: MS, Forest Resources and Conservation, 2016, University of Florida

 The Southeastern (SE) US forests play a major role in sequestrating carbon from the atmosphere and contributing to the total timber production of USA. In… (more)

Subjects/Keywords: Biomass; Climate change; Climate models; Ecosystems; Forest ecosystems; Forest service; Forests; Land cover; Water temperature; Watersheds; agb  – biomass  – driver  – huc8  – wateryield

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APA (6th Edition):

Ajaz Ahmed, M. A. (2016). Identifying Significant Drivers for the Aboveground Biomass and Water Yield Ecosystem Services at the Watershed Level in the Southeastern Usa. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050103

Chicago Manual of Style (16th Edition):

Ajaz Ahmed, Mukhtar Ahmed. “Identifying Significant Drivers for the Aboveground Biomass and Water Yield Ecosystem Services at the Watershed Level in the Southeastern Usa.” 2016. Masters Thesis, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0050103.

MLA Handbook (7th Edition):

Ajaz Ahmed, Mukhtar Ahmed. “Identifying Significant Drivers for the Aboveground Biomass and Water Yield Ecosystem Services at the Watershed Level in the Southeastern Usa.” 2016. Web. 14 Oct 2019.

Vancouver:

Ajaz Ahmed MA. Identifying Significant Drivers for the Aboveground Biomass and Water Yield Ecosystem Services at the Watershed Level in the Southeastern Usa. [Internet] [Masters thesis]. University of Florida; 2016. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0050103.

Council of Science Editors:

Ajaz Ahmed MA. Identifying Significant Drivers for the Aboveground Biomass and Water Yield Ecosystem Services at the Watershed Level in the Southeastern Usa. [Masters Thesis]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050103


University of Florida

6. Rodriguez Asilis, Hector Yamil. Assessment of Commercial Image Processing Software Programs for Unmanned Autonomous Vehicle Imagery.

Degree: MS, Forest Resources and Conservation, 2012, University of Florida

 An Unmanned Aircraft System (UAS) was used to acquire digital images and produce geo-rectified mosaics, providing data and images to support ecosystem restoration, invasive species… (more)

Subjects/Keywords: Coordinate systems; Data processing; Digital images; Image files; Image processing; Photogrammetry; Remote sensing; Remotely piloted vehicles; Software; Triangulation; aerial  – aerotriangulation  – geomatics  – imagery  – photogrammetry  – software  – uas  – uav

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APA (6th Edition):

Rodriguez Asilis, H. Y. (2012). Assessment of Commercial Image Processing Software Programs for Unmanned Autonomous Vehicle Imagery. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045100

Chicago Manual of Style (16th Edition):

Rodriguez Asilis, Hector Yamil. “Assessment of Commercial Image Processing Software Programs for Unmanned Autonomous Vehicle Imagery.” 2012. Masters Thesis, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0045100.

MLA Handbook (7th Edition):

Rodriguez Asilis, Hector Yamil. “Assessment of Commercial Image Processing Software Programs for Unmanned Autonomous Vehicle Imagery.” 2012. Web. 14 Oct 2019.

Vancouver:

Rodriguez Asilis HY. Assessment of Commercial Image Processing Software Programs for Unmanned Autonomous Vehicle Imagery. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0045100.

Council of Science Editors:

Rodriguez Asilis HY. Assessment of Commercial Image Processing Software Programs for Unmanned Autonomous Vehicle Imagery. [Masters Thesis]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0045100


University of Florida

7. Cademus, Ronald. Analysis of Trade-Offs among Carbon Sequestration, Timber Production and Water Yield in North Florida Slash Pine Forests, USA.

Degree: MS, Interdisciplinary Ecology, 2013, University of Florida

 Managing forests solely for carbon sequestration and timber production objectives might have negative effects on the provision of water due to high losses from evapotranspiration.… (more)

Subjects/Keywords: Biomass; Carbon; Coniferous forests; Ecosystems; Forest ecosystems; Forest service; Forests; Jury sequestration; Timber; Timber production; carbon  – ecosystem  – sequestration  – services  – timber  – water  – yield

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APA (6th Edition):

Cademus, R. (2013). Analysis of Trade-Offs among Carbon Sequestration, Timber Production and Water Yield in North Florida Slash Pine Forests, USA. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045633

Chicago Manual of Style (16th Edition):

Cademus, Ronald. “Analysis of Trade-Offs among Carbon Sequestration, Timber Production and Water Yield in North Florida Slash Pine Forests, USA.” 2013. Masters Thesis, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0045633.

MLA Handbook (7th Edition):

Cademus, Ronald. “Analysis of Trade-Offs among Carbon Sequestration, Timber Production and Water Yield in North Florida Slash Pine Forests, USA.” 2013. Web. 14 Oct 2019.

Vancouver:

Cademus R. Analysis of Trade-Offs among Carbon Sequestration, Timber Production and Water Yield in North Florida Slash Pine Forests, USA. [Internet] [Masters thesis]. University of Florida; 2013. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0045633.

Council of Science Editors:

Cademus R. Analysis of Trade-Offs among Carbon Sequestration, Timber Production and Water Yield in North Florida Slash Pine Forests, USA. [Masters Thesis]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045633


University of Florida

8. Bild, Evan A. Identifying High Risk Areas for Confrontation in the South China Sea.

Degree: MA, Political Science - International Relations - Political Science, 2012, University of Florida

 Uncertainty over territory and resource sovereignty in the South China Sea has led to several confrontations in the South China Sea region. The goal of… (more)

Subjects/Keywords: Archipelagos; Geographic regions; Hydrocarbons; Maps; Projective geometry; Seas; Ships; Sovereignty; Supply; War; china  – conflict  – gis  – hydrocarbons  – islands  – malaysia  – paracel  – philippines  – power  – projection  – sea  – south  – spratlys  – vietnam

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APA (6th Edition):

Bild, E. A. (2012). Identifying High Risk Areas for Confrontation in the South China Sea. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044186

Chicago Manual of Style (16th Edition):

Bild, Evan A. “Identifying High Risk Areas for Confrontation in the South China Sea.” 2012. Masters Thesis, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0044186.

MLA Handbook (7th Edition):

Bild, Evan A. “Identifying High Risk Areas for Confrontation in the South China Sea.” 2012. Web. 14 Oct 2019.

Vancouver:

Bild EA. Identifying High Risk Areas for Confrontation in the South China Sea. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0044186.

Council of Science Editors:

Bild EA. Identifying High Risk Areas for Confrontation in the South China Sea. [Masters Thesis]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044186


University of Florida

9. Tonini, Francesco. Modeling the Spread and Geographic Distribution of Invasive Termites in Florida.

Degree: PhD, Forest Resources and Conservation, 2014, University of Florida

 Invasive termites are destructive insect pests that cause billions of dollars in property damage every year. To be able to mitigate the damaging effects of… (more)

Subjects/Keywords: Ecological modeling; Grasslands; Landscapes; Modeling; Parametric models; Simulations; Spatial models; Termites; Ticks; Woodlands; gis  – invasive  – modeling  – simulation  – spatiotemporal  – statistics  – stochastic  – termites

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APA (6th Edition):

Tonini, F. (2014). Modeling the Spread and Geographic Distribution of Invasive Termites in Florida. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046461

Chicago Manual of Style (16th Edition):

Tonini, Francesco. “Modeling the Spread and Geographic Distribution of Invasive Termites in Florida.” 2014. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0046461.

MLA Handbook (7th Edition):

Tonini, Francesco. “Modeling the Spread and Geographic Distribution of Invasive Termites in Florida.” 2014. Web. 14 Oct 2019.

Vancouver:

Tonini F. Modeling the Spread and Geographic Distribution of Invasive Termites in Florida. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0046461.

Council of Science Editors:

Tonini F. Modeling the Spread and Geographic Distribution of Invasive Termites in Florida. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046461


University of Florida

10. Zielstra, Dennis W. Assessing the Quality, Suitability and Usability of User Generated Content for Routing Applications.

Degree: PhD, Forest Resources and Conservation, 2014, University of Florida

 In this study the quality, suitability and usability of User Generated Content (UGC) for routing applications is evaluated by retrieving and analyzing Volunteered Geographic Information… (more)

Subjects/Keywords: Cameras; Cities; Datasets; Geographic regions; Imports; Landmarks; Maps; Pedestrian traffic; Streets; Tigers; content  – generated  – geographic  – information  – openstreetmap  – pedestrian  – quality  – routing  – user  – volunteered

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APA (6th Edition):

Zielstra, D. W. (2014). Assessing the Quality, Suitability and Usability of User Generated Content for Routing Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046436

Chicago Manual of Style (16th Edition):

Zielstra, Dennis W. “Assessing the Quality, Suitability and Usability of User Generated Content for Routing Applications.” 2014. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0046436.

MLA Handbook (7th Edition):

Zielstra, Dennis W. “Assessing the Quality, Suitability and Usability of User Generated Content for Routing Applications.” 2014. Web. 14 Oct 2019.

Vancouver:

Zielstra DW. Assessing the Quality, Suitability and Usability of User Generated Content for Routing Applications. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0046436.

Council of Science Editors:

Zielstra DW. Assessing the Quality, Suitability and Usability of User Generated Content for Routing Applications. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046436


University of Florida

11. Friedman,Melissa Hope. Characterizing Vegetation Adjacent to Water Bodies of an Urbanizing Watershed in West Central Florida.

Degree: MS, Forest Resources and Conservation, 2011, University of Florida

 This study took place within an urban area of the Tampa Bay Watershed in West Central Florida that had varying frequencies and intensities of disturbance.… (more)

Subjects/Keywords: Bottomland forests; Community forestry; Hammocks; Mangrove swamps; Shrubs; Soils; Swamps; Trees; Urban forestry; Watersheds; central  – florida  – urban  – urbanizing  – vegetation  – waterbodies  – watershed

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APA (6th Edition):

Hope, F. (2011). Characterizing Vegetation Adjacent to Water Bodies of an Urbanizing Watershed in West Central Florida. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043450

Chicago Manual of Style (16th Edition):

Hope, Friedman,Melissa. “Characterizing Vegetation Adjacent to Water Bodies of an Urbanizing Watershed in West Central Florida.” 2011. Masters Thesis, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0043450.

MLA Handbook (7th Edition):

Hope, Friedman,Melissa. “Characterizing Vegetation Adjacent to Water Bodies of an Urbanizing Watershed in West Central Florida.” 2011. Web. 14 Oct 2019.

Vancouver:

Hope F. Characterizing Vegetation Adjacent to Water Bodies of an Urbanizing Watershed in West Central Florida. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0043450.

Council of Science Editors:

Hope F. Characterizing Vegetation Adjacent to Water Bodies of an Urbanizing Watershed in West Central Florida. [Masters Thesis]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043450


University of Florida

12. Pande-Chhetri, Roshan B. Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation.

Degree: PhD, Forest Resources and Conservation, 2012, University of Florida

 High resolution hyperspectral imagery (airborne or ground-based) is gaining momentum as a useful analytical tool in various fields including agriculture and aquatic systems. These images… (more)

Subjects/Keywords: Image classification; Image filters; Images of transformations; Ponds; Reflectance; Remote sensing; Signals; Stripes; Supernova remnants; Vegetation; aquatic  – filtering  – hyperspectral  – imagery  – remotesensing

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APA (6th Edition):

Pande-Chhetri, R. B. (2012). Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044922

Chicago Manual of Style (16th Edition):

Pande-Chhetri, Roshan B. “Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation.” 2012. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0044922.

MLA Handbook (7th Edition):

Pande-Chhetri, Roshan B. “Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation.” 2012. Web. 14 Oct 2019.

Vancouver:

Pande-Chhetri RB. Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0044922.

Council of Science Editors:

Pande-Chhetri RB. Filtering High Resolution Hyperspectral Imagery and Analyzing it for Quantification of Water Quality Parameters and Aquatic Vegetation. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044922


University of Florida

13. Mishra, Ashish. Early Detection of Citrus Greening (hlb) Using Ground Based Hyper-Spectral Imaging and Spectroscopy.

Degree: PhD, Agricultural and Biological Engineering, 2010, University of Florida

 Citrus greening, also known as Huanglongbing or HLB, is a major threat to the U.S. citrus industry. Currently, scouting and visual inspection are used for… (more)

Subjects/Keywords: Chlorophylls; Citrus trees; Diseases; Imaging; Leaves; Reflectance; Sensors; Spectral reflectance; Symptomatology; Wavelengths; hlb, hyperspectral, logistic, multi, pls, spectroscopy, support

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APA (6th Edition):

Mishra, A. (2010). Early Detection of Citrus Greening (hlb) Using Ground Based Hyper-Spectral Imaging and Spectroscopy. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041616

Chicago Manual of Style (16th Edition):

Mishra, Ashish. “Early Detection of Citrus Greening (hlb) Using Ground Based Hyper-Spectral Imaging and Spectroscopy.” 2010. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0041616.

MLA Handbook (7th Edition):

Mishra, Ashish. “Early Detection of Citrus Greening (hlb) Using Ground Based Hyper-Spectral Imaging and Spectroscopy.” 2010. Web. 14 Oct 2019.

Vancouver:

Mishra A. Early Detection of Citrus Greening (hlb) Using Ground Based Hyper-Spectral Imaging and Spectroscopy. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0041616.

Council of Science Editors:

Mishra A. Early Detection of Citrus Greening (hlb) Using Ground Based Hyper-Spectral Imaging and Spectroscopy. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041616


University of Florida

14. Nettleman, Charles A, III. Coastal policy simulations : a GIS framework to analyze the relative differences in coastal policies.

Degree: PhD, Forest Resources and Conservation, 2015, University of Florida

Florida faces a substantial threat from sea level rise (SLR) over the next century because of its low and flat topography in addition to its… (more)

Subjects/Keywords: Armoring; Beaches; Climate change; Coasts; Counties; Easements; Modeling; Payments; Property ownership; Sea level rise; Florida  – GIS  – policy  – SLR

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APA (6th Edition):

Nettleman, Charles A, I. (2015). Coastal policy simulations : a GIS framework to analyze the relative differences in coastal policies. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047088

Chicago Manual of Style (16th Edition):

Nettleman, Charles A, III. “Coastal policy simulations : a GIS framework to analyze the relative differences in coastal policies.” 2015. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0047088.

MLA Handbook (7th Edition):

Nettleman, Charles A, III. “Coastal policy simulations : a GIS framework to analyze the relative differences in coastal policies.” 2015. Web. 14 Oct 2019.

Vancouver:

Nettleman, Charles A I. Coastal policy simulations : a GIS framework to analyze the relative differences in coastal policies. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0047088.

Council of Science Editors:

Nettleman, Charles A I. Coastal policy simulations : a GIS framework to analyze the relative differences in coastal policies. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0047088


University of Florida

15. Kamontum, Siripon. Fusion of Landsat-7, IRS-1D and Radarsat-1 Data for Flood Delineation.

Degree: PhD, Forest Resources and Conservation, 2009, University of Florida

 In my study, the extent of areas inundated by flood water was delineated. Landsat-7, IRS-1D and Radarsat-1 images were used to create a fused image… (more)

Subjects/Keywords: Flood damage; Flood predictions; Floods; Hydrological modeling; Hydrology; Image classification; Land cover; Landsat; Remote sensing; Surface water; flood, hecras, irs, landsat, mun, pansharpening, pca, radarsat

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APA (6th Edition):

Kamontum, S. (2009). Fusion of Landsat-7, IRS-1D and Radarsat-1 Data for Flood Delineation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024237

Chicago Manual of Style (16th Edition):

Kamontum, Siripon. “Fusion of Landsat-7, IRS-1D and Radarsat-1 Data for Flood Delineation.” 2009. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0024237.

MLA Handbook (7th Edition):

Kamontum, Siripon. “Fusion of Landsat-7, IRS-1D and Radarsat-1 Data for Flood Delineation.” 2009. Web. 14 Oct 2019.

Vancouver:

Kamontum S. Fusion of Landsat-7, IRS-1D and Radarsat-1 Data for Flood Delineation. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0024237.

Council of Science Editors:

Kamontum S. Fusion of Landsat-7, IRS-1D and Radarsat-1 Data for Flood Delineation. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024237


University of Florida

16. Szantoi,Zoltan. Classification of Marl Prairie and Marsh Vegetation Communities in the Everglades National Park.

Degree: PhD, Forest Resources and Conservation, 2011, University of Florida

 This study developed a classification and discrimination methodology with quantifiable accuracies for wetland mapping, focusing on at risk plant communities in marl prairie and marsh… (more)

Subjects/Keywords: Constructed wetlands; Everglades; Information classification; Pixels; Remote sensing; Spectral bands; Statistical discrepancies; Vegetation; Wet prairies; Wetlands; classification  – imagery  – texture  – wetlands

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APA (6th Edition):

Szantoi,Zoltan. (2011). Classification of Marl Prairie and Marsh Vegetation Communities in the Everglades National Park. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043242

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

Chicago Manual of Style (16th Edition):

Szantoi,Zoltan. “Classification of Marl Prairie and Marsh Vegetation Communities in the Everglades National Park.” 2011. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0043242.

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

MLA Handbook (7th Edition):

Szantoi,Zoltan. “Classification of Marl Prairie and Marsh Vegetation Communities in the Everglades National Park.” 2011. Web. 14 Oct 2019.

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

Vancouver:

Szantoi,Zoltan. Classification of Marl Prairie and Marsh Vegetation Communities in the Everglades National Park. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0043242.

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

Council of Science Editors:

Szantoi,Zoltan. Classification of Marl Prairie and Marsh Vegetation Communities in the Everglades National Park. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043242

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


University of Florida

17. Xu, Yiming. Assessment of Soil Nutrients Using Satellite-Based Remote Sensing for Small Farms in South India.

Degree: PhD, Interdisciplinary Ecology, 2016, University of Florida

Subjects/Keywords: farms; india; mapping; nutrients; remote; sensing; smallholder; soil

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APA (6th Edition):

Xu, Y. (2016). Assessment of Soil Nutrients Using Satellite-Based Remote Sensing for Small Farms in South India. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050259

Chicago Manual of Style (16th Edition):

Xu, Yiming. “Assessment of Soil Nutrients Using Satellite-Based Remote Sensing for Small Farms in South India.” 2016. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0050259.

MLA Handbook (7th Edition):

Xu, Yiming. “Assessment of Soil Nutrients Using Satellite-Based Remote Sensing for Small Farms in South India.” 2016. Web. 14 Oct 2019.

Vancouver:

Xu Y. Assessment of Soil Nutrients Using Satellite-Based Remote Sensing for Small Farms in South India. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0050259.

Council of Science Editors:

Xu Y. Assessment of Soil Nutrients Using Satellite-Based Remote Sensing for Small Farms in South India. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050259


University of Florida

18. Cakir, Murat. Damage Detection of Twospotted Spider Mites (Tetranychus Urticae Koch) in Strawberry Using Unmanned Aerial Vehicle Multispectral Images.

Degree: MS, Forest Resources and Conservation, 2016, University of Florida

Subjects/Keywords: linearregression; multispectral; randomforest; remotesensing; spidermite; strawberry; uav

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

APA (6th Edition):

Cakir, M. (2016). Damage Detection of Twospotted Spider Mites (Tetranychus Urticae Koch) in Strawberry Using Unmanned Aerial Vehicle Multispectral Images. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050493

Chicago Manual of Style (16th Edition):

Cakir, Murat. “Damage Detection of Twospotted Spider Mites (Tetranychus Urticae Koch) in Strawberry Using Unmanned Aerial Vehicle Multispectral Images.” 2016. Masters Thesis, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0050493.

MLA Handbook (7th Edition):

Cakir, Murat. “Damage Detection of Twospotted Spider Mites (Tetranychus Urticae Koch) in Strawberry Using Unmanned Aerial Vehicle Multispectral Images.” 2016. Web. 14 Oct 2019.

Vancouver:

Cakir M. Damage Detection of Twospotted Spider Mites (Tetranychus Urticae Koch) in Strawberry Using Unmanned Aerial Vehicle Multispectral Images. [Internet] [Masters thesis]. University of Florida; 2016. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0050493.

Council of Science Editors:

Cakir M. Damage Detection of Twospotted Spider Mites (Tetranychus Urticae Koch) in Strawberry Using Unmanned Aerial Vehicle Multispectral Images. [Masters Thesis]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050493


University of Florida

19. De, Mriganka. Fate and Transport of Effluent-borne Nitrogen from Septic Drainfields to Shallow Groundwater.

Degree: PhD, Soil and Water Science, 2015, University of Florida

Subjects/Keywords: drainfield; groundwater; nitrification; nitrogen

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

APA (6th Edition):

De, M. (2015). Fate and Transport of Effluent-borne Nitrogen from Septic Drainfields to Shallow Groundwater. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047400

Chicago Manual of Style (16th Edition):

De, Mriganka. “Fate and Transport of Effluent-borne Nitrogen from Septic Drainfields to Shallow Groundwater.” 2015. Doctoral Dissertation, University of Florida. Accessed October 14, 2019. http://ufdc.ufl.edu/UFE0047400.

MLA Handbook (7th Edition):

De, Mriganka. “Fate and Transport of Effluent-borne Nitrogen from Septic Drainfields to Shallow Groundwater.” 2015. Web. 14 Oct 2019.

Vancouver:

De M. Fate and Transport of Effluent-borne Nitrogen from Septic Drainfields to Shallow Groundwater. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Oct 14]. Available from: http://ufdc.ufl.edu/UFE0047400.

Council of Science Editors:

De M. Fate and Transport of Effluent-borne Nitrogen from Septic Drainfields to Shallow Groundwater. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0047400

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