A scalable satellite-based crop yield mapper

Remote Sensing of Environment

Volumn 164, Issue , 2015, Pages 324-333

  Lobell, David B ^a   Thau, David ^b   Seifert, Christopher ^a   Engle, Eric ^b   Little, Bertis ^c  

^a STANFORD UNIVERSITY   (United States)

^b GOOGLE INC   (United States)

^c TARLETON STATE UNIVERSITY   (United States)

Author keywords

Agriculture; Google Earth Engine; Landsat

Indexed keywords

AGRICULTURE; DATA ACQUISITION; DATA HANDLING; ENGINES; IMAGE ACQUISITION; KNOWLEDGE MANAGEMENT; PHYSIOLOGICAL MODELS; PIXELS; REMOTE SENSING; SATELLITES;

AGRICULTURAL LAND; CROP MANAGEMENTS; GOOGLE EARTHS; LANDSAT; SATELLITE DATA; SATELLITE OBSERVATIONS; SCIENTIFIC RESEARCHES; TEMPORAL PERSISTENCE;

CROPS;

AGRICULTURAL LAND; AGRICULTURAL MANAGEMENT; AGRICULTURAL MODELING; CROP YIELD; DATA ACQUISITION; DATA INTERPRETATION; LANDSAT; MAIZE; PIXEL; PREDICTION; REMOTE SENSING; SATELLITE DATA; SOYBEAN; WORLD WIDE WEB;

MIDWEST; UNITED STATES;

GLYCINE MAX; ZEA MAYS;

EID: 84952637041     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.04.021     Document Type: Article

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