文献类型：会议论文

英文题名：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

作者：Casa, R.[1] Silvestro, P. C.[1] Yang, H.[2,4] Pignatti, S.[3] Pascucci, S.[3] Yang, G.[2,4]

第一作者：Casa, R.

通信作者：Casa, R[1]

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

会议论文集：36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 10-15, 2016

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：Wheat; AQUACROP; SAFY; Ensemble Kalman Filter

年份：2016

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.