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Highly cited researcher in  2023       

Giglio, L., and Roy, D. P., 2024, Satellite artifacts modulate FireCCILT11 global burned area, Nature Communications, 15, 2079.

Zhang, H.K., Luo, D., Roy, D.P., 2024, Improved Landsat Operational Land Imager (OLI) cloud and shadow detection with the learning attention network algorithm (LANA), Remote Sensing, 16(8), 1321.

Radeloff, V. C., Roy, D.P.,  Wulder, M.A.,  Anderson, M., Cook, B., Crawford, C. J., Friedl, M., Gao, F., Gorelick, N., Hansen, M., Healey, S., Hostert, P., Hulley, G.,  Huntington, J.L.,  Johnson, D.M., Neigh, C., Lyapustin,  A., Lymburner, L., Pahlevan, N., Pekel, J.-F. , Scambos, T. A., Schaaf, C., Strobl, P., Woodcock, C.E., Zhang, H.K., Zhu, Z., 2024, Need and vision for global medium-resolution Landsat and Sentinel-2 data products.  Remote Sensing of Environment, 300, 113918.

Giglio, L. and Roy, D.P., 2023, FireCCILT11 artifacts may confound the link between biomass burning and infant mortality, Proceeding of the National Academy of Sciences (PNAS), 120 (51), e2317759120. 

Crawford, C.J., Roy, D.P., Arab, S., Barnes, C., Vermote, E., Hulley, G., Gerace, A., Choate, M., Engebretson, C., Micijevic, E., Schmidt, G., Anderson, C., Anderson, M., Bouchard, M., Cook, B., Dittmeier, R., Howard, D., Jenkerson, C., Kim, M., Kleyians, T., Maiersperger, T., Mueller, C., Neigh, C., Page, B., Pahlevan, N., Rengarajan, R., Roger, J-C., Sayler, K., Scaramuzza, P., Skakun, S., Yan, L., Zhang, H., Zhu, Z., Zahn, S., 2023,  The 50-year Landsat collection 2 archive, Science of Remote Sensing, 8, 100103. 

Kashongwe, H.B., Roy, D.P., Skole, D.L., 2023, Examination of the amount of GEDI data required to characterize central Africa tropical forest aboveground biomass at REDD+ project scale in Mai Ndombe province, Science of Remote Sensing, 7, 100091.

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Zhang, H.K., Roy, D.P., Luo, D., 2023, Demonstration of large area land cover classification with a one dimensional convolutional neural network applied to single pixel temporal metric percentiles, Remote Sensing of Environment, 295, 113653.

Egorov, A., Roy, D. P., Boschetti, L., 2023, Generation and comprehensive validation of 30 m conterminous United States Landsat percent tree cover and forest cover loss annual products. Science of Remote Sensing, 7, 100084. 

Martins, V.S., Roy, D.P., Huang, H., Boschetti, L., Zhang, H.K., Yan, L., 2022, Deep learning high resolution burned area mapping by transfer learning from Landsat-8 to PlanetScope, Remote Sensing of Environment, 280, 113203. 

Yan, L., Roy, D.P., Promkhambut, P., Fox, J., Zhai, Y., 2022, Automated extraction of aquaculture ponds from Sentinel-2 seasonal imagery – a validated case study in central Thailand, Science of Remote Sensing, 6, 100063. 

Wulder, M.A., Roy, D.P., Radeloff, V.C., Loveland, T.R., Anderson, M.C., Johnson, D.M., Healey, S., Zhu, Z.,  Scambos, T.A., Pahlevan, N., Hansen, M., Gorelick, N., Crawford, C.J., Masek, J.G., Hermosilla, T., White, J.C., Belward, A.S., Schaaf, C., Woodcock, C., Huntington, J.L., Lymburner, L., Hostert, P.,  Gao, F., Lyapustin, A.,  Pekel, J-F., Strobl, P.,  Cook, B.C.,  2022. Fifty years of Landsat science and impacts. Remote Sensing of Environment, 280, 113195.

Giglio, L. and Roy, D.P., 2022, Assessment of satellite orbit-drift artifacts in the long-term AVHRR FireCCILT11 global burned area data set, Science of Remote Sensing, 100044.

Zhai, Y., Roy, D.P., Martins, V.S., Zhang, H.K., Yan, L., Li, Z., 2022, Conterminous United States Landsat-8 top of atmosphere and surface reflectance tasseled cap transformation coefficients, Remote Sensing of Environment, 274, 112992 .

Giglio, L., Zubkova, M., Roy, D.P., 2022, Comment on Otón et al. Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018), Fire, 2021, 4, 74  in Fire, 2022, 5, 52.

Roy, D.P., Wooster, M., San-Miguel, J., GOFC-GOLD Fire Implementation Team priorities, NASA Land Cover Land Use Change annual meeting, Gaithersburg, MD, April 2-4 2024.

Yan, L., Belton, B., Roy, D.P., Baldiga, L., Thaneerat, A., Preliminary results on drivers and constraints of land cover land use change in Asian aquaculture hotspots, NASA Land Cover Land Use Change annual meeting, Gaithersburg, MD, April 2-4 2024.

Huang H., Roy, D.P., De Lemos, H., Zhang, H.K.,, Luo, D., Boschetti, L., High resolution burned area mapping by deep learning PlanetScope image pairs, Oral presentation in IN34B - Commercial Earth Observation Data: Research and Applications II, Fall Meeting, AGU, San Francisco, December 11-15, 2023.   

Qiu, Y., Roy, D.P., Zhang, H.K., Huang, H., Liu, H., Self-supervised deep learning experiments to detect forest cover loss using Landsat time series, iPoster, in Advances in Characterizing and Monitoring Land System Change Using Remote Sensing Data eLightning session, Fall Meeting, AGU, San Francisco, December 11-15, 2023. 

Lou, D., Zhang, H.K., Roy, D.P., Accurate Landsat-8 cloud and shadow masking with a Learning Attention Network Algorithm (LANA), in AI Models in Earth Science, Fall Meeting, AGU, San Francisco, December 11-15, 2023.

Cho, M.S., Roy, D.P., Huang, H., Yuean, Q., Hugo, D.L., Potential and constraints of commercial high spatial and temporal resolution BlackSky imagery for land science applications – a multi-sensor comparison, Poster, in Commercial Earth Observation Data: Research and Applications session, Fall Meeting, AGU, San Francisco, December 11-15, 2023.

De Lemos, H., Roy, D.P., A caution on the quantification of rapid surface albedo change using the MODIS albedo product – a demonstration study using the MISR-HR albedo product over a fire prone region in Southern Africa, Poster, in The Role of Fire in the Earth System: Understanding Drivers, Feedbacks, and Interactions with the Land, Atmosphere, and Society, Fall Meeting, AGU, San Francisco, December 11-15, 2023.

Yan, L., Roy, D.P., Crop field extraction in smallholder regions in Asia from commercial high-spatial-resolution satellite imagery, Oral presentation, in Remote Sensing for Sustainable Agriculture, Fall Meeting, AGU, San Francisco, December 11-15, 2023.

Whitcraft A.K., Humber, M.L., Guan, K., Sahajpal, R., Kerner, H.R., Gold, K., Jiang, Y., Wolf, S., Skakun, S., Hosseini, M., Hansen, M., Thieme, A., Mirsky, S.B., Hively, W.D., Ghezzehei, T.A., Lobell, D.B., Roy, D.P., Yan, L., Vorster, A., Machmuller, M., Ogle, S.M., Evangelista, P., Yang, Y., Anderson, M., Rejesus, R., Andrisse, S., Pepper, N., Skudrzyk, B., Becker-Reshef, I., Justice, C.O., Doorn, B. The NASA Acres Consortium: Down to earth information for US Agriculture, Oral presentation, in Applications of Earth Observations for U.S. Agriculture, Fall Meeting, AGU, San Francisco, December 11-15, 2023.

Roy, D.P., Huang, H., De Lemos, H., Deep learning high resolution burned area mapping using multi-date commercial satellite data, Michigan Tech Research Institute seminar, Ann Arbor, December 1, 2023.

Roy, D.P., Huang, H., De Lemos, H., Deep learning high resolution burned area mapping, 6th GWIS and GOFC-GOLD Fire IT meeting, Canadian Space Agency, 6767 Route de l'Aéroport Borough of Saint-Hubert Longueuil, Quebec, November 14-15, 2023.

Giglio, L., Hall, J., Humber, M., Roy, D.P., Boschetti, L., Zubkova, M., Argueta, F., Schroeder, W., Justice, C., 6th GWIS and GOFC-GOLD Fire IT meeting, NASA Fire Products Update Canadian Space Agency, 6767 Route de l'Aéroport Borough of Saint-Hubert Longueuil, Quebec, November 14-15, 2023.

Yan, L., Roy, D.P., Multi-annual CONUS-wide crop field boundary delineation, NASA ACRES kick-off meeting, Donald Danforth Plant Science Center, St. Louis, Missouri, November 2-3 2023.

Roy, D.P., Huang, H., Boschetti, L., De Lemos, H., Giglio, L., Where are the Missing Burned Areas? Global Hotspots of Burned Area - A Multiresolution Analysis, NASA Land Cover Land Use Change (LCLUC) Program Webinar, October 13, 2023.

Roy, D.P., Kashongwe, H.B., Skole, D., The amount of GEDI data required to characterize central Africa tropical forest aboveground biomass at REDD+ project scale, a Mai Ndombe province analysis, SilviLaser 2023, University College London, U.K., September 6–8, 2023.

Roy, D.P., Huang, H., De Lemos, J., Deep learning high resolution burned area mapping, Invited Fire Seminar, Kings College, London, U.K., September 5, 2023.

Roy, D.P., Huang, H., Boschetti, L., Giglio, L.,  NASA Harmonized Landsat Sentinel-2 (HLS) burned area product generation, comparison with the NASA 500 m burned area product, validation with 3 m PlanetScope burned area data, Japanese Geoscience Union meeting, Makuhari Messe, Chiba, Japan, May 21-26, 2023.

Boschetti, L., Roy, D.P., Giglio, L., The MODIS Fire Products: a multidecadal baseline for fire activity and fire regimes, 8th International Wildland Fire Conference, Oporto, Portugal, May 15-19, 2023.

Roy, D.P., Huang, H., Boschetti, L., De Lemos, H., Giglio, L., Where are the Missing Burned Areas? Global Hotspots of Burned Area - A Multiresolution Analysis, NASA Land Cover Land Use Change (LCLUC) Science Team Meeting, The Hotel at The University of Maryland, College Park, MD, May 8-12, 2023.

Yan, L. Belton, B., Roy, D.P., Drivers and constraints of land cover land use change in Asian aquaculture hotspots, NASA Land Cover Land Use Change (LCLUC) Science Team Meeting, The Hotel at The University of Maryland, College Park, MD, May 8-12, 2023.

Boschetti, L., Roy, D.P., Giglio, L., Is the world burning less? Disentangling decadal trends, inter-annual fire variability and product uncertainties, through harmonization of the NASA MODIS and VIIRS fire product record, 2023 MODIS/VIIRS Science Team Meeting, The Hotel at The University of Maryland, College Park, MD, May 1-4, 2023.

Roy, D.P., Satellite fire monitoring - Looking back and forward, Seminar hosted by Department of Natural Resources and Environmental Management & Department of Geography and Environment,  University of Hawaii at Manoa, Honolulu, Hawaii, April 28, 2023.

Huang, H., Roy, D.P., De Lemos H.J., Egorov, A., Machine learning PlanetScope high resolution training data for medium resolution land cover and disturbance mapping, 2023 NASA Earth Science Data System Working Group Meeting, Linthicum Heights, MD, March 21-23, 2023. 

Roy, D.P., Global Analysis Ready Data (ARD), Winter 2023 USGS-NASA Landsat Science Team Meeting, Desert Research Institute (DRI), Reno, NV, February 7-9, 2023. 

Zhang, H.K., Roy, D.P., Schaaf, C., Landsat BRDF correction: recent developments and looking forward, Winter 2023 USGS-NASA Landsat Science Team Meeting, Desert Research Institute (DRI), Reno, NV, February 7-9, 2023.

Yan, L., Roy, D.P., Choate, M., Rengarajan, R., Future needs for USGS Landsat MSS processing (emphasis on geometry improvement), Winter 2023 USGS-NASA Landsat Science Team Meeting, Desert Research Institute (DRI), Reno, NV, February 7-9, 2023.

Cho, M., Huang, H., Roy, D.P., Evaluation of BlackSky Imagery for burned area mapping applications, NASA Commercial Smallsat Data Acquisition (CSDA) Program Evaluation Team Midterm Review Workshop, NASA Goddard Space Flight Center, Greenbelt, MD, US, January 19-20, 2023.

Dr. Myung Sik Cho, Postdoctoral research associate 

Dr. Haiyan Huang, Assistant research professor

Dr. Herve Kashongwe, Postdoctoral research associate

Dr. Hugo De Lemos,  Postdoctoral research associate

Yuean Qiu, Ph.D. student 

Apichaya Thaneerat, Masters student

Dr. Lin Yan, Assistant research professor

Roy, D.P., Kashongwe, H., Cho, M., Using GEDI data to improve understanding of species-specific central Africa tropical forest regrowth. Funded by NASA NNH23ZDA001N-GEDI Global Ecosystem Dynamics Investigation Science Team program. 

Giglio, L., Roy, D.P., Hall, J.V., Zubkova, M., Santamaría-Artigas, A.E., Huang, H., Yan, L. A Five-Decade Multi-Sensor Global Burned Area Data Record. Funded by NASA NNH22ZDA001N-MEASURES Making Earth System Data Records for Use in Research Environments program.

Roy, D.P., Wei, G., Huang, H., Egorov, A., Machine learning PLANET high resolution training data for medium resolution land cover and disturbance mapping.  Funded by NASA NNH19ZDA001N-ACCESS Advancing Collaborative Connections for Earth System Science (ACCESS) program. 

Roy, D.P., Democratic Republic of Congo satellite forest canopy cover, loss and swamp extent mapping, demonstration pilot in support of Wildlife Works Carbon LLC REDD+ projects.  Funded by Wildlife Works Carbon LLC (https://www.wildlifeworks.com/mai-ndombe).   See https://sites.google.com/view/msu-drc-forest/home. 

Roy, D.P., Huang, H., Boschetti, L., Giglio. L., Where are the missing burned areas? Global hotspots of burned area – a multiresolution analysis, Funded by NASA Land-Cover/Land-Use Change (NNH20ZDA001N-LCLUC) program. 

Yan, L., Benton, B., Roy, D.P., Drivers and constraints of land cover land use change in Asian aquaculture hotspots. Funded by NASA Land Cover/Land Use Change (LCLUC) NNH22ZDA001N-LCLUC program.

Whitcraft, A.K. (University of Maryland) et al., Roy, D.P.,  NASA ACRES: A Climate Resilient Ecosystem Approach to Strengthening US Agriculture. Funded by NASA Applied Science Program, solicitation A. 36 Earth Science Applications: Agriculture, NNH22ZDA001N-AG. program. 

Giglio, L. (University of Maryland), Hall, J., Humber, M., Zubkova, M., Boschetti, L., Roy, D.P., Support and Maintenance of S-NPP and JPSS VIIRS Global Active Fire and Burned Area Earth System Data Records, Funded by NASA NNH20ZDA001N-SNPPSP Suomi National Polar-Orbiting Partnership (NPP) and the Joint Polar Satellite System (JPSS) Satellites Standard Products for Earth System Data Records program.

Boschetti, L. (University of Idaho), Roy, D.P. and Giglio, L., Is the world burning less? Disentangling decadal trends, inter-annual fire variability and product uncertainties, through harmonization of the NASA MODIS and VIIRS fire product record,  Funded by NNH20ZDA001N-TASNPP:A.33 The Science of Terra, Aqua, and Suomi-NPP program. 

Yan, L., Roy, D.P., Fox, J.M. (East-West Center, Honolulu, Hawai’i), Forced and truncated agrarian transitions in Asia through the lens of field size change, Funded by NASA NNH18ZDA001N Land Cover/Land Use Change (LCLUC) program. 

GEO 827 Theory and Practice of Terrestrial Remote Sensing

Mon & Wed : 5:00 PM-6:20 PM   

8/28/2023 - 12/10/2023   

Environmental remote sensing systems have evolved significantly over the last two decades fueled by pressing needs to monitor human impacts on the Earth system and to develop a comprehensive understanding of Earth system functioning.  Space agency and commercial satellite remote sensing systems are in orbit and planned for launch with associated computing systems to derive biophysical and geophysical data products on a global, systematic basis. This course describes the science theory, algorithms, and computational approaches to generate and assess derived satellite products for long term Earth system monitoring. Emphasis is on the principles of optical remote sensing (0.4-14 microns) and quantitative algorithms for estimating biophysical and geophysical land surface variables from remotely sensed observations. The course provides insights into how space agencies, and in particular NASA, goes about these tasks, using the NASA MODIS land products as a lens for what we learn throughout the course. 

This is 3 credit graduate level course. Understanding of the fundamental principles of remote sensing, some physics, calculus, statistics, and also computer literacy, is expected.  Lecture material will be provided to students after each lecture as .PDF files.

Students who desire an introductory Remote Sensing course should take GEO-324 or GEO-424.

1990 - 1993   Ph.D. Remote Sensing,  University of Cambridge, Department of Geography, Cambridge, U.K.

1987 - 1988   M.Sc.  Remote Sensing and Image Processing Technology, University of Edinburgh, Department of Meteorology, U.K. 

1984 - 1987    B.Sc. Geophysics, Lancaster University, Department of Environmental Science, Lancaster, U.K.