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Damage evaluation of soybean chilling injury based on Google Earth Engine (GEE) and crop modelling
Authors:Cao  Juan  Zhang  Zhao  Zhang  Liangliang  Luo  Yuchuan  Li  Ziyue  Tao  Fulu
Affiliation:1. State Key Laboratory of Earth Surface Processes and Resource Ecology/MEM&MoE Key Laboratory of Environmental Change and Natural Hazards, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China2. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Journal of Geographical Sciences - Frequent chilling injury has serious impacts on national food security and in northeastern China heavily affects grain yields. Timely and accurate measures are...
Keywords:chilling injury  Google Earth Engine (GEE)  CROPGRO-Soybean  soybean  yield loss  cold degree days (CDD)  
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