The scientist’s investigation covers issues in Remote sensing, Albedo, Bidirectional reflectance distribution function, Radiometry and Moderate-resolution imaging spectroradiometer. The various areas that Philip Lewis examines in his Remote sensing study include Pixel, Atmospheric correction, Canopy, Meteorology and Radiative transfer. His work in Albedo addresses subjects such as Spectral bands, which are connected to disciplines such as Temperate climate and Spectroradiometer.
He performs multidisciplinary study in the fields of Bidirectional reflectance distribution function and Land cover via his papers. His Radiometry study combines topics in areas such as Remote sensing, Data set and Understory. His research integrates issues of Change detection, Multispectral pattern recognition and Algorithm in his study of Moderate-resolution imaging spectroradiometer.
Philip Lewis mainly investigates Remote sensing, Bidirectional reflectance distribution function, Albedo, Earth observation and Canopy. His Remote sensing study incorporates themes from Vegetation, Radiative transfer, Meteorology and Reflectivity. His Vegetation research is multidisciplinary, incorporating perspectives in Range, Ecosystem and Leaf area index.
The concepts of his Bidirectional reflectance distribution function study are interwoven with issues in Pixel, Atmospheric correction and Moderate-resolution imaging spectroradiometer. His work deals with themes such as Image resolution and Nadir, which intersect with Albedo. His studies deal with areas such as Remote sensing, Scattering, Hyperspectral imaging and Radiometry as well as Canopy.
Philip Lewis mostly deals with Remote sensing, Earth observation, Radiative transfer, Data assimilation and Atmospheric sciences. Philip Lewis has included themes like Albedo, Bidirectional reflectance distribution function and Ray tracing in his Remote sensing study. His Earth observation study deals with Parametric statistics intersecting with Nonparametric regression.
The Radiative transfer study combines topics in areas such as Thermal, Leaf area index, Tree, Molecular physics and Lidar. His Data assimilation research is multidisciplinary, relying on both Hyperspectral imaging, Winter wheat and Reflectivity. His work in Atmospheric sciences tackles topics such as Biosphere model which are related to areas like Assimilation, Primary production, Boreal, Eddy covariance and Carbon cycle.
His primary areas of study are Remote sensing, Earth observation, Neuroscience, Data stream and Data stream mining. His research on Remote sensing focuses in particular on Canopy reflectance. His Earth observation study combines topics in areas such as Agriculture, Food security, Range and Bayes' theorem.
His work on Neuropsychiatry, Neuromodulation, Optogenetics and Transcranial magnetic stimulation as part of general Neuroscience study is frequently connected to Human health, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Data stream study combines topics from a wide range of disciplines, such as Data mining, Parametric statistics, Imaging spectroscopy, Multicollinearity and Regression. His Data stream mining research incorporates elements of Spectroradiometer and Nonparametric regression.
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First operational BRDF, albedo nadir reflectance products from MODIS
Crystal B Schaaf;Feng Gao;Alan H Strahler;Wolfgang Lucht.
Remote Sensing of Environment (2002)
The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research
C.O. Justice;E. Vermote;J.R.G. Townshend;R. Defries.
IEEE Transactions on Geoscience and Remote Sensing (1998)
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.
Remote Sensing of Environment (2005)
Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data
Pasi Raumonen;Mikko Kaasalainen;Markku Åkerblom;Sanna Kaasalainen.
Remote Sensing (2013)
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.
Remote Sensing of Environment (2002)
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.
Remote Sensing of Environment (2008)
Global retrieval of bidirectional reflectance and albedo over land from EOS MODIS and MISR data: Theory and algorithm
W. Wanner;A. H. Strahler;B. Hu;P. Lewis.
Journal of Geophysical Research (1997)
Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements
Luis Guanter;Luis Guanter;Christian Frankenberg;Anu Dudhia;Philip E. Lewis.
Remote Sensing of Environment (2012)
Geostatistical classification for remote sensing: an introduction
P. M. Atkinson;P. Lewis.
Computers & Geosciences (2000)
Hyperspectral remote sensing of foliar nitrogen content.
Yuri Knyazikhin;Mitchell A. Schull;Pauline Stenberg;Matti Mõttus.
Proceedings of the National Academy of Sciences of the United States of America (2013)
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