ASSIMILA TION OF REMOTELY SENSED CANOPY VARIABLES INTO CROP MODELS FOR AN ASSESSMENT OF DROUGHT-RELATED YIELD LOSSESS: A COMPARSION OF MODELS OF DIFFERENT COMPLEXITY
文献类型: 外文期刊
作者: Casa, R. 1 ; Silvestro, P. C. 1 ; Yang, H. 2 ; Pignatti, S. 3 ; Pascucci, S. 3 ; Yang, G. 2 ;
作者机构: 1.Univ TusciaViterbo, DAFNE, Via San Camillo de Lellis, Viterbo, Italy
2.Beijing Acad Agr & Forestry Sci, Natl Engn Res Ctr Informat Technol Agr, Beijing, Peoples R China
3.CNR IMAA, Potenza, Italy
4.Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing, Peoples R China
关键词: Wheat;AQUACROP;SAFY;Ensemble Kalman Filter
期刊名称:2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
ISSN: 2153-6996
年卷期: 2016 年
页码:
收录情况: SCI
摘要: The assimilation of biophysical crop canopy variables retrieved from remotely sensed data into two crop models of differing degree of complexity is assessed in this study, in the context of the development of tools suitable for the estimation of yield losses due to drought. The more complex AQUACROP model, developed by FAO and the simpler SAFY model were employed to estimate wheat grain yield for an area in the Shaanxi Province in China through the assimilation of biophysical variables retrieved from Landsat and HJ1A and HJ1B satellites for three growing seasons (2013 to 2015). Results were validated with ground yield data.
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