Comparison of four EVI-based models for estimating gross primary production of maize and soybean croplands and tallgrass prairie under severe drought

Remote Sensing of Environment

Volumn 162, Issue , 2015, Pages 154-168

  Dong, Jinwei ^a   Xiao, Xiangming ^a,b   Wagle, Pradeep ^a   Zhang, Geli ^a   Zhou, Yuting ^a   Jin, Cui ^a   Torn, Margaret S ^c   Meyers, Tilden P ^d   Suyker, Andrew E ^e   Wang, Junbang ^f   Yan, Huimin ^f   Biradar, Chandrashekhar ^g   Moore, Berrien ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b FUDAN UNIVERSITY   (China)

^c LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^d NOAA Air Resources Laboratory Silver Spring   (United States)

^e UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^f INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^g International Center for Agricultural Research in Dry Areas The Consultative Group on International Agricultural Research (CGIAR)   (Jordan)

Author keywords

Drought; Greenness and Radiation (GR) model; Gross primary production (GPP); Light use efficiency (LUE); Temperature and Greenness (TG) model; Vegetation Index (VI) model; Vegetation Photosynthesis Model (VPM)

Indexed keywords

CLIMATE CHANGE; DROUGHT; EFFICIENCY; MEAN SQUARE ERROR; PHOTOSYNTHESIS; SATELLITES; SURFACE WATERS; VEGETATION;

CLIMATE VARIABILITY AND CHANGE; ENHANCED VEGETATION INDEX; GROSS PRIMARY PRODUCTION; LIGHT USE EFFICIENCY; NORMALIZED DIFFERENCE VEGETATION INDEX; PHOTOSYNTHETICALLY ACTIVE RADIATION; ROOT MEAN SQUARED ERRORS; VEGETATION INDEX;

CLIMATE MODELS;

AGRICULTURAL MODELING; COMPARATIVE STUDY; DROUGHT STRESS; ERROR ANALYSIS; GRASS; IRRIGATION SYSTEM; LIGHT USE EFFICIENCY; MAIZE; NET PRIMARY PRODUCTION; PRAIRIE; RAINFED AGRICULTURE; SATELLITE IMAGERY; SOYBEAN; VEGETATION INDEX;

GLYCINE MAX; ZEA MAYS;

EID: 84924348609     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.02.022     Document Type: Article

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