World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
82
Citations
39009
World Ranking
862
National Ranking
375

Overview

David P. Roy is affiliated with Michigan State University in the United States and has contributed extensively to environmental science research. Their work spans several subfields including Global and Planetary Change, Ecology, Environmental Engineering, Atmospheric Science, and Media Technology.

Their research interests focus primarily on remote sensing and its applications in agriculture, environmental gas dynamics, fire effects on ecosystems, LiDAR technology, urban heat island mitigation, land use, ecosystem services, and remote-sensing image classification.

David P. Roy has published numerous articles in various academic venues, with significant contributions to:

  • Remote Sensing of Environment
  • Science of Remote Sensing
  • Remote Sensing
  • SSRN Electronic Journal
  • Santé mentale au Québec

Recent papers authored or co-authored by David P. Roy include:

  • A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery, 2021, Remote Sensing of Environment
  • The impact of geolocation uncertainty on GEDI tropical forest canopy height estimation and change monitoring, 2021, Science of Remote Sensing

Other notable papers in the broader research network include:

  • Fifty years of Landsat science and impacts, 2022, Remote Sensing of Environment
  • Satellite remote sensing of active fires: History and current status, applications and future requirements, 2021, Remote Sensing of Environment
  • The 50-year Landsat collection 2 archive, 2023, Science of Remote Sensing

David P. Roy has collaborated frequently with several researchers, including:

  • Hankui K. Zhang
  • Haiyan Huang
  • Louis Giglio
  • Lin Yan
  • Luigi Boschetti

In addition to journal articles, their academic work extends to book publications, with a forthcoming book titled Teaching the Arts scheduled for release by Cambridge University Press in 2025.

Best Publications

  • First operational BRDF, albedo nadir reflectance products from MODIS

    Crystal B Schaaf;Feng Gao;Alan H Strahler;Wolfgang Lucht

  • Landsat-8: Science and Product Vision for Terrestrial Global Change Research

    David P. Roy;M.A. Wulder;Thomas R. Loveland;C.E. Woodcock

  • The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research

    C.O. Justice;E. Vermote;J.R.G. Townshend;R. Defries

  • An overview of MODIS Land data processing and product status

    C.O Justice;J.R.G Townshend;E.F Vermote;E Masuoka

  • The MODIS fire products

    C.O Justice;L Giglio;S Korontzi;J Owens

  • Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity

    David P. Roy;V. Kovalskyy;Hankui Zhang;Eric F. Vermote

  • The Collection 6 MODIS burned area mapping algorithm and product

    Louis Giglio;Luigi Boschetti;David P. Roy;Michael L. Humber

  • Current status of Landsat program, science, and applications

    Michael A. Wulder;Thomas R. Loveland;David P. Roy;Christopher J. Crawford

  • What limits fire? An examination of drivers of burnt area in Southern Africa

    Sally Archibald;David P. Roy;Brian W. van Wilgen;Robert J. Scholes

  • The collection 5 MODIS burned area product — Global evaluation by comparison with the MODIS active fire product

    David P. Roy;L. Boschetti;C. O. Justice;J. Ju

  • The global Landsat archive: Status, consolidation, and direction

    Michael A. Wulder;Joanne C. White;Thomas R. Loveland;Curtis E. Woodcock

  • An active-fire based burned area mapping algorithm for the MODIS sensor

    Louis Giglio;Tatiana Loboda;David P. Roy;Brad Quayle

  • Fifty years of Landsat science and impacts

    Unknown

  • Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data

    David P. Roy;Y. Jin;P. E. Lewis;C. O. Justice

  • Achieving sub-pixel geolocation accuracy in support of MODIS land science

    Robert E. Wolfe;Robert E. Wolfe;Masahiro Nishihama;Masahiro Nishihama;Albert J. Fleig;James A. Kuyper;James A. Kuyper

  • The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally

    Junchang Ju;David P. Roy

  • A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring

    Jian Li;David P. Roy

  • Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data

    David P. Roy;David P. Roy;Junchang Ju;Junchang Ju;Philip Lewis;Philip Lewis;Crystal Schaaf;Crystal Schaaf

  • A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin

    Matthew C. Hansen;David P. Roy;Erik Lindquist;Bernard Adusei

  • Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States

    David P. Roy;Junchang Ju;Kristi Kline;Pasquale L. Scaramuzza

  • Burned area mapping using multi-temporal moderate spatial resolution data—a bi-directional reflectance model-based expectation approach

    D.P. Roy;D.P. Roy;P.E. Lewis;C.O. Justice

Frequent Co-Authors

Luigi Boschetti
Luigi Boschetti University of Idaho
Christopher O. Justice
Christopher O. Justice University of Maryland, College Park
Eric Vermote
Eric Vermote Goddard Space Flight Center
Philip Lewis
Philip Lewis University College London
Crystal B. Schaaf
Crystal B. Schaaf University of Massachusetts Boston
Thomas R. Loveland
Thomas R. Loveland United States Geological Survey
Louis Giglio
Louis Giglio University of Maryland, College Park
Michael A. Wulder
Michael A. Wulder Natural Resources Canada
Jeffrey G. Masek
Jeffrey G. Masek Goddard Space Flight Center
Jeffrey L. Privette
Jeffrey L. Privette National Oceanic and Atmospheric Administration

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