P
Philip Lewis
Researcher at University College London
Publications - 332
Citations - 15892
Philip Lewis is an academic researcher from University College London. The author has contributed to research in topics: Albedo & Bidirectional reflectance distribution function. The author has an hindex of 55, co-authored 284 publications receiving 13891 citations. Previous affiliations of Philip Lewis include Goddard Space Flight Center & University of Reading.
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Journal ArticleDOI
First operational BRDF, albedo nadir reflectance products from MODIS
Crystal B. Schaaf,Feng Gao,Alan H. Strahler,Wolfgang Lucht,Xiaowen Li,Trevor Tsang,Nicholas C. Strugnell,Xiaoyang Zhang,Yufang Jin,Jan-Peter Muller,Philip Lewis,M. J. Barnsley,P. Hobson,Mathias Disney,Gareth Roberts,Michael Dunderdale,Christopher N.H. Doll,Robert P. d'Entremont,Baoxin Hu,Shunlin Liang,Jeffrey L. Privette,David P. Roy +21 more
TL;DR: The MODIS BRDF/Albedo algorithm makes use of a semi-empirical kernel-driven bidirectional reflectance model and multidate, multispectral data to provide global 1-km gridded and tiled products of the land surface every 16 days.
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The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research
Christopher O. Justice,Eric Vermote,John R. Townshend,Ruth DeFries,David P. Roy,Dorothy K. Hall,Vincent V. Salomonson,Jeffrey L. Privette,G. A. Riggs,Alan H. Strahler,Wolfgang Lucht,Ranga B. Myneni,Yuri Knyazikhin,Steven W. Running,Ramakrishna R. Nemani,Zhengming Wan,Alfredo Huete,W.J.D. van Leeuwen,Robert E. Wolfe,Louis Giglio,Jan-Peter Muller,Philip Lewis,M.J. Barnsley +22 more
TL;DR: The proposed MODIS standard products for land applications are described along with the current plans for data quality assessment and product validation.
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Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data
Pasi Raumonen,Mikko Kaasalainen,Markku Åkerblom,Sanna Kaasalainen,Harri Kaartinen,Mikko Vastaranta,Markus Holopainen,Mathias Disney,Philip Lewis +8 more
TL;DR: A new method for constructing quickly and automatically precision tree models from point clouds of the trunk and branches obtained by terrestrial laser scanning, validated using both measured and modeled terrestrial laser scanner data from real trees and detailed 3D models.
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Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data
TL;DR: In this article, the authors developed an algorithm developed to map fire-affected areas at a global scale using MODIS surface reflectance time series data, based on the recently published Bi-Directional Reflectance Model-Based Expectation change detection approach and maps at 500 m the location and approximate day of burning.
Journal ArticleDOI
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 B. Schaaf,Crystal B. Schaaf,Feng Gao,Matthew C. Hansen,Matthew C. Hansen,Erik Lindquist,Erik Lindquist +12 more
TL;DR: In this paper, a semi-physical fusion approach that uses the MODIS BRDF/Albedo land surface characterization product and Landsat ETM+ data to predict the 30m ETM + spectral reflectance on the same, an antecedent, or subsequent date is presented.