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You searched for +publisher:"Rochester Institute of Technology" +contributor:("Jan van Aardt"). Showing records 1 – 17 of 17 total matches.

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Rochester Institute of Technology

1. Groff, Austin. A Habitat Suitability Model for Ruffed Grouse (Bonasa umbellus) in New York State Department of Environmental Conservation Region 8.

Degree: MS, Thomas H. Gosnell School of Life Sciences (COS), 2018, Rochester Institute of Technology

  Shrubland, young forest, and other types of early successional habitats have historically declined due to a lack in anthropogenic and natural disturbances. This decline… (more)

Subjects/Keywords: Geographic information systems; Habitat model; Habitat suitability; Habitat suitability model; Ruffed grouse; Shrubland

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APA (6th Edition):

Groff, A. (2018). A Habitat Suitability Model for Ruffed Grouse (Bonasa umbellus) in New York State Department of Environmental Conservation Region 8. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9865

Chicago Manual of Style (16th Edition):

Groff, Austin. “A Habitat Suitability Model for Ruffed Grouse (Bonasa umbellus) in New York State Department of Environmental Conservation Region 8.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/9865.

MLA Handbook (7th Edition):

Groff, Austin. “A Habitat Suitability Model for Ruffed Grouse (Bonasa umbellus) in New York State Department of Environmental Conservation Region 8.” 2018. Web. 14 Nov 2019.

Vancouver:

Groff A. A Habitat Suitability Model for Ruffed Grouse (Bonasa umbellus) in New York State Department of Environmental Conservation Region 8. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/9865.

Council of Science Editors:

Groff A. A Habitat Suitability Model for Ruffed Grouse (Bonasa umbellus) in New York State Department of Environmental Conservation Region 8. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9865


Rochester Institute of Technology

2. Accettura, Margot. Methods for the Detection of Subterranean Methane Leakage.

Degree: MS, Chester F. Carlson Center for Imaging Science (COS), 2018, Rochester Institute of Technology

  The development of small unmanned aircraft systems (sUAS) has led to a plethora of industry applications. One such application for a sUAS is detecting… (more)

Subjects/Keywords: Hyperspectral; Methane; sUAS

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APA (6th Edition):

Accettura, M. (2018). Methods for the Detection of Subterranean Methane Leakage. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9873

Chicago Manual of Style (16th Edition):

Accettura, Margot. “Methods for the Detection of Subterranean Methane Leakage.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/9873.

MLA Handbook (7th Edition):

Accettura, Margot. “Methods for the Detection of Subterranean Methane Leakage.” 2018. Web. 14 Nov 2019.

Vancouver:

Accettura M. Methods for the Detection of Subterranean Methane Leakage. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/9873.

Council of Science Editors:

Accettura M. Methods for the Detection of Subterranean Methane Leakage. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9873


Rochester Institute of Technology

3. Hagstrom, Shea T. Voxel-Based LIDAR Analysis and Applications.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2014, Rochester Institute of Technology

  One of the greatest recent changes in the field of remote sensing is the addition of high-quality Light Detection and Ranging (LIDAR) instruments. In… (more)

Subjects/Keywords: 3D; Analysis; Applications; LADAR; LIDAR; Voxel

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APA (6th Edition):

Hagstrom, S. T. (2014). Voxel-Based LIDAR Analysis and Applications. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8316

Chicago Manual of Style (16th Edition):

Hagstrom, Shea T. “Voxel-Based LIDAR Analysis and Applications.” 2014. Doctoral Dissertation, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/8316.

MLA Handbook (7th Edition):

Hagstrom, Shea T. “Voxel-Based LIDAR Analysis and Applications.” 2014. Web. 14 Nov 2019.

Vancouver:

Hagstrom ST. Voxel-Based LIDAR Analysis and Applications. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2014. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/8316.

Council of Science Editors:

Hagstrom ST. Voxel-Based LIDAR Analysis and Applications. [Doctoral Dissertation]. Rochester Institute of Technology; 2014. Available from: https://scholarworks.rit.edu/theses/8316


Rochester Institute of Technology

4. Carlock, Brett Edmond. Analytical Flood Risk Models for First Responder Use: Obstruction Detection and Risk Assessment.

Degree: MS, Thomas H. Gosnell School of Life Sciences (COS), 2017, Rochester Institute of Technology

  The objective of this project is to develop and test two qualitative flood risk models for use in first responder and planning roles. The… (more)

Subjects/Keywords: Flood models; Hazus; LiDAR; Orthophoto; Risk

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APA (6th Edition):

Carlock, B. E. (2017). Analytical Flood Risk Models for First Responder Use: Obstruction Detection and Risk Assessment. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9383

Chicago Manual of Style (16th Edition):

Carlock, Brett Edmond. “Analytical Flood Risk Models for First Responder Use: Obstruction Detection and Risk Assessment.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/9383.

MLA Handbook (7th Edition):

Carlock, Brett Edmond. “Analytical Flood Risk Models for First Responder Use: Obstruction Detection and Risk Assessment.” 2017. Web. 14 Nov 2019.

Vancouver:

Carlock BE. Analytical Flood Risk Models for First Responder Use: Obstruction Detection and Risk Assessment. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/9383.

Council of Science Editors:

Carlock BE. Analytical Flood Risk Models for First Responder Use: Obstruction Detection and Risk Assessment. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9383


Rochester Institute of Technology

5. Sponagle, Paul. Automated flight planning for roof inspection using a face-based approach.

Degree: MS, Chester F. Carlson Center for Imaging Science (COS), 2017, Rochester Institute of Technology

  The rapid proliferation of consumer small unmanned aerial systems (sUASs) has expanded ownership to include amateurs and professionals alike. These platforms in combination with… (more)

Subjects/Keywords: Automated; Flight planning; Point cloud; sUAS; Thermography; UAV

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APA (6th Edition):

Sponagle, P. (2017). Automated flight planning for roof inspection using a face-based approach. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9529

Chicago Manual of Style (16th Edition):

Sponagle, Paul. “Automated flight planning for roof inspection using a face-based approach.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/9529.

MLA Handbook (7th Edition):

Sponagle, Paul. “Automated flight planning for roof inspection using a face-based approach.” 2017. Web. 14 Nov 2019.

Vancouver:

Sponagle P. Automated flight planning for roof inspection using a face-based approach. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/9529.

Council of Science Editors:

Sponagle P. Automated flight planning for roof inspection using a face-based approach. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9529


Rochester Institute of Technology

6. Kelbe, David. Forest structure from terrestrial laser scanning – in support of remote sensing calibration/validation and operational inventory.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2015, Rochester Institute of Technology

  Forests are an important part of the natural ecosystem, providing resources such as timber and fuel, performing services such as energy exchange and carbon… (more)

Subjects/Keywords: Forest inventory; Forestry; Laser scanning; Lidar; Remote sensing

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APA (6th Edition):

Kelbe, D. (2015). Forest structure from terrestrial laser scanning – in support of remote sensing calibration/validation and operational inventory. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8757

Chicago Manual of Style (16th Edition):

Kelbe, David. “Forest structure from terrestrial laser scanning – in support of remote sensing calibration/validation and operational inventory.” 2015. Doctoral Dissertation, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/8757.

MLA Handbook (7th Edition):

Kelbe, David. “Forest structure from terrestrial laser scanning – in support of remote sensing calibration/validation and operational inventory.” 2015. Web. 14 Nov 2019.

Vancouver:

Kelbe D. Forest structure from terrestrial laser scanning – in support of remote sensing calibration/validation and operational inventory. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2015. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/8757.

Council of Science Editors:

Kelbe D. Forest structure from terrestrial laser scanning – in support of remote sensing calibration/validation and operational inventory. [Doctoral Dissertation]. Rochester Institute of Technology; 2015. Available from: https://scholarworks.rit.edu/theses/8757


Rochester Institute of Technology

7. Yao, Wei. Investigating the impact of spatially-explicit sub-pixel structural variation on the assessment of vegetation structure from imaging spectroscopy data.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2017, Rochester Institute of Technology

  Consistent and scalable estimation of vegetation structural parameters from imaging spectroscopy is essential to remote sensing for ecosystem studies, with applications to a wide… (more)

Subjects/Keywords: AVIRIS; Hyperspectral image; HyspIRI; Imaging spectroscopy data; LAI; Vegetation structure

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APA (6th Edition):

Yao, W. (2017). Investigating the impact of spatially-explicit sub-pixel structural variation on the assessment of vegetation structure from imaging spectroscopy data. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9590

Chicago Manual of Style (16th Edition):

Yao, Wei. “Investigating the impact of spatially-explicit sub-pixel structural variation on the assessment of vegetation structure from imaging spectroscopy data.” 2017. Doctoral Dissertation, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/9590.

MLA Handbook (7th Edition):

Yao, Wei. “Investigating the impact of spatially-explicit sub-pixel structural variation on the assessment of vegetation structure from imaging spectroscopy data.” 2017. Web. 14 Nov 2019.

Vancouver:

Yao W. Investigating the impact of spatially-explicit sub-pixel structural variation on the assessment of vegetation structure from imaging spectroscopy data. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2017. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/9590.

Council of Science Editors:

Yao W. Investigating the impact of spatially-explicit sub-pixel structural variation on the assessment of vegetation structure from imaging spectroscopy data. [Doctoral Dissertation]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9590


Rochester Institute of Technology

8. Williams, McKay D. Generation, validation, and application of abundance map reference data for spectral unmixing.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2017, Rochester Institute of Technology

  Reference data ("ground truth") maps traditionally have been used to assess the accuracy of imaging spectrometer classification algorithms. However, these reference data can be… (more)

Subjects/Keywords: Abundance map; Ground truth; Hyperspectral; Imaging spectroscopy; Reference data; Unmixing

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APA (6th Edition):

Williams, M. D. (2017). Generation, validation, and application of abundance map reference data for spectral unmixing. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9552

Chicago Manual of Style (16th Edition):

Williams, McKay D. “Generation, validation, and application of abundance map reference data for spectral unmixing.” 2017. Doctoral Dissertation, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/9552.

MLA Handbook (7th Edition):

Williams, McKay D. “Generation, validation, and application of abundance map reference data for spectral unmixing.” 2017. Web. 14 Nov 2019.

Vancouver:

Williams MD. Generation, validation, and application of abundance map reference data for spectral unmixing. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2017. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/9552.

Council of Science Editors:

Williams MD. Generation, validation, and application of abundance map reference data for spectral unmixing. [Doctoral Dissertation]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9552


Rochester Institute of Technology

9. Sarrazin, Diane. Fusing Small-footprint Waveform LiDAR and Hyperspectral Data for Canopy-level Species Classification and Herbaceous Biomass Modeling in Savanna Ecosystems.

Degree: MS, Chester F. Carlson Center for Imaging Science (COS), 2010, Rochester Institute of Technology

  The study of ecosystem structure, function, and composition has become increasingly important in order to gain a better understanding of how impacts wrought by… (more)

Subjects/Keywords: None provided

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APA (6th Edition):

Sarrazin, D. (2010). Fusing Small-footprint Waveform LiDAR and Hyperspectral Data for Canopy-level Species Classification and Herbaceous Biomass Modeling in Savanna Ecosystems. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8962

Chicago Manual of Style (16th Edition):

Sarrazin, Diane. “Fusing Small-footprint Waveform LiDAR and Hyperspectral Data for Canopy-level Species Classification and Herbaceous Biomass Modeling in Savanna Ecosystems.” 2010. Masters Thesis, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/8962.

MLA Handbook (7th Edition):

Sarrazin, Diane. “Fusing Small-footprint Waveform LiDAR and Hyperspectral Data for Canopy-level Species Classification and Herbaceous Biomass Modeling in Savanna Ecosystems.” 2010. Web. 14 Nov 2019.

Vancouver:

Sarrazin D. Fusing Small-footprint Waveform LiDAR and Hyperspectral Data for Canopy-level Species Classification and Herbaceous Biomass Modeling in Savanna Ecosystems. [Internet] [Masters thesis]. Rochester Institute of Technology; 2010. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/8962.

Council of Science Editors:

Sarrazin D. Fusing Small-footprint Waveform LiDAR and Hyperspectral Data for Canopy-level Species Classification and Herbaceous Biomass Modeling in Savanna Ecosystems. [Masters Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/8962


Rochester Institute of Technology

10. Allen, Rachel. Habitat and Conservation Suitability Assessment for Shrubland Birds in Monroe County, New York.

Degree: MS, Thomas H. Gosnell School of Life Sciences (COS), 2019, Rochester Institute of Technology

  Shrublands and successional ecosystems are of special interest to land managers and conservation groups because to be maintained, they must be disturbed periodically. Shrubland… (more)

Subjects/Keywords: Avian; GIS; Habitat suitability model; Land cover; Remote sensing; Shrubland

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APA (6th Edition):

Allen, R. (2019). Habitat and Conservation Suitability Assessment for Shrubland Birds in Monroe County, New York. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10064

Chicago Manual of Style (16th Edition):

Allen, Rachel. “Habitat and Conservation Suitability Assessment for Shrubland Birds in Monroe County, New York.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/10064.

MLA Handbook (7th Edition):

Allen, Rachel. “Habitat and Conservation Suitability Assessment for Shrubland Birds in Monroe County, New York.” 2019. Web. 14 Nov 2019.

Vancouver:

Allen R. Habitat and Conservation Suitability Assessment for Shrubland Birds in Monroe County, New York. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/10064.

Council of Science Editors:

Allen R. Habitat and Conservation Suitability Assessment for Shrubland Birds in Monroe County, New York. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10064


Rochester Institute of Technology

11. McClelland, Michael P, II. An Assessment of Small Unmanned Aerial Systems in Support of Sustainable Forestry Management Initiatives.

Degree: MS, Chester F. Carlson Center for Imaging Science (COS), 2018, Rochester Institute of Technology

  Sustainable forest management practices are receiving renewed attention in the growing effort to make efficient long-term use of natural resources. Sustainable management approaches require… (more)

Subjects/Keywords: Airborne lidar; Forestry; Lidar; Remote sensing; sUAS; UAV

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APA (6th Edition):

McClelland, Michael P, I. (2018). An Assessment of Small Unmanned Aerial Systems in Support of Sustainable Forestry Management Initiatives. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9843

Chicago Manual of Style (16th Edition):

McClelland, Michael P, II. “An Assessment of Small Unmanned Aerial Systems in Support of Sustainable Forestry Management Initiatives.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/9843.

MLA Handbook (7th Edition):

McClelland, Michael P, II. “An Assessment of Small Unmanned Aerial Systems in Support of Sustainable Forestry Management Initiatives.” 2018. Web. 14 Nov 2019.

Vancouver:

McClelland, Michael P I. An Assessment of Small Unmanned Aerial Systems in Support of Sustainable Forestry Management Initiatives. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/9843.

Council of Science Editors:

McClelland, Michael P I. An Assessment of Small Unmanned Aerial Systems in Support of Sustainable Forestry Management Initiatives. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9843

12. Jha, Uday Kant. High-Dimensional Linear and Functional Analysis of Multivariate Grapevine Data.

Degree: MS, School of Mathematical Sciences (COS), 2017, Rochester Institute of Technology

  Variable selection plays a major role in multivariate high-dimensional statistical modeling. Hence, we need to select a consistent model, which avoids overfitting in prediction,… (more)

Subjects/Keywords: Elastic-net; Functional data analysis; High-dimensional statistical modeling; Minimax concave penalty; Sure independence screening; Variable selection

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APA (6th Edition):

Jha, U. K. (2017). High-Dimensional Linear and Functional Analysis of Multivariate Grapevine Data. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9473

Chicago Manual of Style (16th Edition):

Jha, Uday Kant. “High-Dimensional Linear and Functional Analysis of Multivariate Grapevine Data.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/9473.

MLA Handbook (7th Edition):

Jha, Uday Kant. “High-Dimensional Linear and Functional Analysis of Multivariate Grapevine Data.” 2017. Web. 14 Nov 2019.

Vancouver:

Jha UK. High-Dimensional Linear and Functional Analysis of Multivariate Grapevine Data. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/9473.

Council of Science Editors:

Jha UK. High-Dimensional Linear and Functional Analysis of Multivariate Grapevine Data. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9473

13. Axel, Colin. Towards Automated Analysis of Urban Infrastructure after Natural Disasters using Remote Sensing.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2017, Rochester Institute of Technology

  Natural disasters, such as earthquakes and hurricanes, are an unpreventable component of the complex and changing environment we live in. Continued research and advancement… (more)

Subjects/Keywords: Disaster management

…National Geodetic Survey. 50, 59, 66 RIT Rochester Institute of Technology. 19, 72 UNITAR… …fulfillment of the requirements for the Doctor of Philosophy Degree at the Rochester Institute of… …Technology Abstract Natural disasters, such as earthquakes and hurricanes, are an unpreventable… 

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APA (6th Edition):

Axel, C. (2017). Towards Automated Analysis of Urban Infrastructure after Natural Disasters using Remote Sensing. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9546

Chicago Manual of Style (16th Edition):

Axel, Colin. “Towards Automated Analysis of Urban Infrastructure after Natural Disasters using Remote Sensing.” 2017. Doctoral Dissertation, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/9546.

MLA Handbook (7th Edition):

Axel, Colin. “Towards Automated Analysis of Urban Infrastructure after Natural Disasters using Remote Sensing.” 2017. Web. 14 Nov 2019.

Vancouver:

Axel C. Towards Automated Analysis of Urban Infrastructure after Natural Disasters using Remote Sensing. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2017. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/9546.

Council of Science Editors:

Axel C. Towards Automated Analysis of Urban Infrastructure after Natural Disasters using Remote Sensing. [Doctoral Dissertation]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9546

14. Bandyopadhyay, Madhurima. Quantifying the urban forest environment using dense discrete return LiDAR and aerial color imagery for segmentation and object-level biomass assessment.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2015, Rochester Institute of Technology

  The urban forest is becoming increasingly important in the contexts of urban green space and recreation, carbon sequestration and emission offsets, and socio-economic impacts.… (more)

Subjects/Keywords: Data fusion; Imagery; LiDAR; Urban forestry

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APA (6th Edition):

Bandyopadhyay, M. (2015). Quantifying the urban forest environment using dense discrete return LiDAR and aerial color imagery for segmentation and object-level biomass assessment. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8726

Chicago Manual of Style (16th Edition):

Bandyopadhyay, Madhurima. “Quantifying the urban forest environment using dense discrete return LiDAR and aerial color imagery for segmentation and object-level biomass assessment.” 2015. Doctoral Dissertation, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/8726.

MLA Handbook (7th Edition):

Bandyopadhyay, Madhurima. “Quantifying the urban forest environment using dense discrete return LiDAR and aerial color imagery for segmentation and object-level biomass assessment.” 2015. Web. 14 Nov 2019.

Vancouver:

Bandyopadhyay M. Quantifying the urban forest environment using dense discrete return LiDAR and aerial color imagery for segmentation and object-level biomass assessment. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2015. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/8726.

Council of Science Editors:

Bandyopadhyay M. Quantifying the urban forest environment using dense discrete return LiDAR and aerial color imagery for segmentation and object-level biomass assessment. [Doctoral Dissertation]. Rochester Institute of Technology; 2015. Available from: https://scholarworks.rit.edu/theses/8726

15. Basnet, Bikash. Monitoring Cloud-prone Complex Landscapes At Multiple Spatial Scales Using Medium And High Resolution Optical Data: A Case Study In Central Africa.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2015, Rochester Institute of Technology

  Tracking land surface dynamics over cloud-prone areas with complex mountainous terrain and a landscape that is heterogeneous at a scale of approximately 10 m,… (more)

Subjects/Keywords: Image processing; Land cover change; Landsat; Object based image analysis; Random forest; Topographic correction

…Bikash Basnet Rochester Institute of Technology Rochester, New York December, 2015 viii… …rewarding experience for me. I would like to thank my dissertation committee member, Dr. Jan Van… …Aardt for his invaluable feedback and advice in improving this dissertation. His advice… 

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APA (6th Edition):

Basnet, B. (2015). Monitoring Cloud-prone Complex Landscapes At Multiple Spatial Scales Using Medium And High Resolution Optical Data: A Case Study In Central Africa. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8900

Chicago Manual of Style (16th Edition):

Basnet, Bikash. “Monitoring Cloud-prone Complex Landscapes At Multiple Spatial Scales Using Medium And High Resolution Optical Data: A Case Study In Central Africa.” 2015. Doctoral Dissertation, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/8900.

MLA Handbook (7th Edition):

Basnet, Bikash. “Monitoring Cloud-prone Complex Landscapes At Multiple Spatial Scales Using Medium And High Resolution Optical Data: A Case Study In Central Africa.” 2015. Web. 14 Nov 2019.

Vancouver:

Basnet B. Monitoring Cloud-prone Complex Landscapes At Multiple Spatial Scales Using Medium And High Resolution Optical Data: A Case Study In Central Africa. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2015. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/8900.

Council of Science Editors:

Basnet B. Monitoring Cloud-prone Complex Landscapes At Multiple Spatial Scales Using Medium And High Resolution Optical Data: A Case Study In Central Africa. [Doctoral Dissertation]. Rochester Institute of Technology; 2015. Available from: https://scholarworks.rit.edu/theses/8900

16. Romanczyk, Paul. Extraction of Vegetation Biophysical Structure from Small-Footprint Full-Waveform Lidar Signals.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2015, Rochester Institute of Technology

  The National Ecological Observatory Network (NEON) is a continental scale environmental monitoring initiative tasked with characterizing and understanding ecological phenomenology over a 30-year time… (more)

Subjects/Keywords: Forest parameter estimation; Simulation; Waveform lidar

Institute of Technology. 29 SJER San Joaquin Experimental Range. 66, 151 TERN Terrestrial… …138, 145, 148, 149, 151, 156 National Geospatial Intelligence Agency. 18 RIT Rochester… 

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

APA (6th Edition):

Romanczyk, P. (2015). Extraction of Vegetation Biophysical Structure from Small-Footprint Full-Waveform Lidar Signals. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8798

Chicago Manual of Style (16th Edition):

Romanczyk, Paul. “Extraction of Vegetation Biophysical Structure from Small-Footprint Full-Waveform Lidar Signals.” 2015. Doctoral Dissertation, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/8798.

MLA Handbook (7th Edition):

Romanczyk, Paul. “Extraction of Vegetation Biophysical Structure from Small-Footprint Full-Waveform Lidar Signals.” 2015. Web. 14 Nov 2019.

Vancouver:

Romanczyk P. Extraction of Vegetation Biophysical Structure from Small-Footprint Full-Waveform Lidar Signals. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2015. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/8798.

Council of Science Editors:

Romanczyk P. Extraction of Vegetation Biophysical Structure from Small-Footprint Full-Waveform Lidar Signals. [Doctoral Dissertation]. Rochester Institute of Technology; 2015. Available from: https://scholarworks.rit.edu/theses/8798

17. Zhang, Jiashu. Analytical Modeling and Performance Assessment of Micropulse Photon-counting Lidar System.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2014, Rochester Institute of Technology

  The melting of polar ice sheets and evidence of global warming continue to remain prominent research interests among scientists. To better understand global volumetric… (more)

Subjects/Keywords: LiDAR; Remote sensing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhang, J. (2014). Analytical Modeling and Performance Assessment of Micropulse Photon-counting Lidar System. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8548

Chicago Manual of Style (16th Edition):

Zhang, Jiashu. “Analytical Modeling and Performance Assessment of Micropulse Photon-counting Lidar System.” 2014. Doctoral Dissertation, Rochester Institute of Technology. Accessed November 14, 2019. https://scholarworks.rit.edu/theses/8548.

MLA Handbook (7th Edition):

Zhang, Jiashu. “Analytical Modeling and Performance Assessment of Micropulse Photon-counting Lidar System.” 2014. Web. 14 Nov 2019.

Vancouver:

Zhang J. Analytical Modeling and Performance Assessment of Micropulse Photon-counting Lidar System. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2014. [cited 2019 Nov 14]. Available from: https://scholarworks.rit.edu/theses/8548.

Council of Science Editors:

Zhang J. Analytical Modeling and Performance Assessment of Micropulse Photon-counting Lidar System. [Doctoral Dissertation]. Rochester Institute of Technology; 2014. Available from: https://scholarworks.rit.edu/theses/8548

.