X
Xiaoyang Zhang
Researcher at South Dakota State University
Publications - 153
Citations - 14843
Xiaoyang Zhang is an academic researcher from South Dakota State University. The author has contributed to research in topics: Phenology & Moderate-resolution imaging spectroradiometer. The author has an hindex of 41, co-authored 133 publications receiving 12290 citations. Previous affiliations of Xiaoyang Zhang include National Oceanic and Atmospheric Administration & Boston University.
Papers
More filters
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
Climate controls on vegetation phenological patterns in northern mid‐ and high latitudes inferred from MODIS data
TL;DR: In this paper, vegetation phenological transition dates identified using data from the moderate-resolution imaging spectroradiometer (MODIS) in 2001 are linked with MODIS land surface temperature (LST) data from northern hemisphere between 35°N and 70°N.
Journal ArticleDOI
Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements
TL;DR: In this paper, a method based on fitting piecewise logistic models to time series data from MODIS, key transition dates in the annual cycle(s) of vegetation growth can be estimated in an ecologically realistic fashion.