Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches

Agricultural and Forest Meteorology

Volumn 247, Issue , 2017, Pages 207-220

  Jin, Zhenong ^a   Azzari, George ^a   Lobell, David B ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

Google earth engine; Landsat; Maize; Yield estimation

Indexed keywords

ACCURACY ASSESSMENT; AGRICULTURAL MODELING; CALIBRATION; COMPUTER SIMULATION; CROP YIELD; DATA PROCESSING; DATA SET; INFORMATION TECHNOLOGY; LANDSAT; MAIZE; PHENOLOGY; PHYTOMASS; RAINFED AGRICULTURE; RESOLUTION; SATELLITE DATA; SATELLITE IMAGERY; WEATHER;

ILLINOIS; INDIANA; IOWA; MIDWEST; UNITED STATES;

ZEA MAYS;

EID: 85029355039     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2017.08.001     Document Type: Article

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