F
Feng Gao
Researcher at Agricultural Research Service
Publications - 440
Citations - 32643
Feng Gao is an academic researcher from Agricultural Research Service. The author has contributed to research in topics: Moderate-resolution imaging spectroradiometer & Albedo. The author has an hindex of 72, co-authored 403 publications receiving 26473 citations. Previous affiliations of Feng Gao include United States Department of Agriculture & Engineering and Physical Sciences Research Council.
Papers
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Journal ArticleDOI
Global land cover mapping from MODIS: algorithms and early results
Mark A. Friedl,D.K. McIver,J.C.F. Hodges,Xiaoyang Zhang,D. Muchoney,Alan H. Strahler,Curtis E. Woodcock,Sucharita Gopal,Annemarie Schneider,Amanda Cooper,Alessandro Baccini,Feng Gao,Crystal B. Schaaf +12 more
TL;DR: This product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP, and a supervised classification methodology is used that exploits a global database of training sites interpreted from high-resolution imagery in association with ancillary data.
Journal ArticleDOI
Monitoring vegetation phenology using MODIS
Xiaoyang Zhang,Mark A. Friedl,Crystal B. Schaaf,Alan H. Strahler,John C.F. Hodges,Feng Gao,Bradley C. Reed,Alfredo Huete +7 more
TL;DR: In this article, a new methodology to monitor global vegetation phenology from time series of satellite data is presented, which uses series of piecewise logistic functions, which are fit to remotely sensed vegetation index (VI) data, to represent intra-annual vegetation dynamics.
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.
Journal ArticleDOI
Landsat-8: Science and Product Vision for Terrestrial Global Change Research
David P. Roy,Michael A. Wulder,Thomas R. Loveland,Curtis E. Woodcock,Richard G. Allen,Martha C. Anderson,Dennis L. Helder,James R. Irons,Daniel M. Johnson,Robert E. Kennedy,Ted Scambos,Crystal B. Schaaf,John R. Schott,Yongwei Sheng,Eric Vermote,Alan Belward,Robert Bindschadler,Warren B. Cohen,Feng Gao,James D. Hipple,Patrick Hostert,Justin L. Huntington,Christopher O. Justice,Ayse Kilic,V. Kovalskyy,Zhongping Lee,Leo Lymburner,Jeffrey G. Masek,Joel McCorkel,Yanmin Shuai,Ricardo Trezza,James E. Vogelmann,Randolph H. Wynne,Zhe Zhu +33 more
TL;DR: Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared as mentioned in this paper.
Journal ArticleDOI
A Landsat surface reflectance dataset for North America, 1990-2000
Jeffrey G. Masek,Eric Vermote,Nazmi Saleous,Robert E. Wolfe,Forrest G. Hall,Karl F. Huemmrich,Feng Gao,J. Kutler,Teng-Kui Lim +8 more
TL;DR: Initial comparisons with ground-based optical thickness measurements and simultaneously acquired MODIS imagery indicate comparable uncertainty in Landsat surface reflectance compared to the standard MODIS reflectance product.