What is he best known for?
The fields of study he is best known for:
- Statistics
- Remote sensing
- Artificial intelligence
David P. Roy mainly investigates Remote sensing, Moderate-resolution imaging spectroradiometer, Radiometry, Thematic Mapper and Pixel.
His Remote sensing research is multidisciplinary, incorporating elements of Land cover, Cloud cover, Vegetation and Albedo.
In his research, Residual is intimately related to Bidirectional reflectance distribution function, which falls under the overarching field of Albedo.
His Moderate-resolution imaging spectroradiometer study combines topics from a wide range of disciplines, such as Change detection, Nadir, Active fire, Scale and Data set.
His Nadir research integrates issues from Orientation, Geolocation software, Geolocation and Reflectivity.
David P. Roy combines subjects such as Satellite imagery and Normalized Difference Vegetation Index with his study of Thematic Mapper.
His most cited work include:
- First operational BRDF, albedo nadir reflectance products from MODIS (1631 citations)
- The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research (1084 citations)
- Landsat-8: Science and Product Vision for Terrestrial Global Change Research (1061 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Remote sensing, Moderate-resolution imaging spectroradiometer, Land cover, Pixel and Thematic Mapper.
His Remote sensing research is multidisciplinary, incorporating perspectives in Bidirectional reflectance distribution function, Reflectivity, Meteorology, Nadir and Normalized Difference Vegetation Index.
His Moderate-resolution imaging spectroradiometer research incorporates themes from Active fire, Vegetation, Geolocation, Radiative transfer and Radiometry.
His work focuses on many connections between Land cover and other disciplines, such as Albedo, that overlap with his field of interest in Climatology and Snow.
He has included themes like Image resolution and Standard deviation in his Pixel study.
His Thematic Mapper study also includes fields such as
- Satellite imagery and related Land use,
- Cloud cover which is related to area like Plant cover.
He most often published in these fields:
- Remote sensing (76.80%)
- Moderate-resolution imaging spectroradiometer (29.83%)
- Land cover (22.10%)
What were the highlights of his more recent work (between 2015-2021)?
- Remote sensing (76.80%)
- Pixel (18.23%)
- Land cover (22.10%)
In recent papers he was focusing on the following fields of study:
David P. Roy mainly focuses on Remote sensing, Pixel, Land cover, Thematic Mapper and Bidirectional reflectance distribution function.
His study in Remote sensing focuses on Zenith in particular.
His Pixel research includes elements of Data set, Scale, Digital elevation model and Standard deviation.
The study incorporates disciplines such as Remote sensing, Climatology, Albedo and Land reform in addition to Land cover.
His biological study spans a wide range of topics, including Agriculture, Crop field, Satellite imagery and Thematic map.
His Bidirectional reflectance distribution function research is multidisciplinary, incorporating perspectives in Decision tree, Mean squared error, Tree cover and Interpolation.
Between 2015 and 2021, his most popular works were:
- The global Landsat archive: Status, consolidation, and direction (299 citations)
- Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity (291 citations)
- A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring (191 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Remote sensing
- Artificial intelligence
David P. Roy mostly deals with Remote sensing, Pixel, Land cover, Thematic Mapper and Image resolution.
His Remote sensing study integrates concerns from other disciplines, such as Bidirectional reflectance distribution function, Atmospheric correction and Nadir.
David P. Roy focuses mostly in the field of Land cover, narrowing it down to matters related to Remote sensing and, in some cases, Scale and Land use.
His study in Thematic Mapper is interdisciplinary in nature, drawing from both Confusion matrix, Agriculture, Crop field, Field and Thematic map.
His Image resolution study combines topics in areas such as Cirrus, Linear regression and Multi spectral.
His studies examine the connections between Backscatter and genetics, as well as such issues in Zenith, with regards to Solar zenith angle and Albedo.
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