DEVELOPMENT OF FARMLAND DROUGHT ASSESSMENT TOOLS BASED ON THE ASSIMILATION OF REMOTELY SENSED CANOPY BIOPHYSICAL VARIABLES INTO CROP WATER RESPONSE MODELS
文献类型： 会议论文
第一作者： Casa, R.
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.Department of Agriculture, Forests, Nature and Energy (DAFNE), Universita della Tuscia
2.National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences
3.CNR IMAA, Tito Scalo
关键词： Crop model;Aquacrop;SAFY;Sensitivity analysis;Ensemble Kalman Filter (EnKF)
会议名称： IEEE International Geoscience and Remote Sensing Symposium
主办单位：
页码： 4005-4008
摘要： The aim of this work is the development of methods for the assimilation of biophysical variables, estimated from multi-source remote sensing data, into crop growth models, in order to estimate the yield losses due to drought both at the farm and at the regional scale. A methodology to obtain maps of leaf area index (LAI), and fractional canopy cover (CC), from HJ1A and HJ1B Chinese satellite optical data was established, using an algorithm based on the training of artificial neural networks (ANN) on PROSAIL model simulations. Retrieved values of biophysical variables, such as LAI or CC, will be assimilated into crop growth models in order to estimate wheat yield. The present work focused on testing two different approaches using a common dataset gathered in Xiaotangshan (China) with two crop models of different complexity, in order to compare the procedures and analyse the responses of the models, before the subsequent application at a regional scale in Yangling, Shaanxi, Central China.
分类号： TP7-53
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[1]DEVELOPMENT OF FARMLAND DROUGHT ASSESSMENT TOOLS BASED ON THE ASSIMILATION OF REMOTELY SENSED CANOPY BIOPHYSICAL VARIABLES INTO CROP WATER RESPONSE MODELS. Casa, R.,Silvestro, P. C.,Yang, H.,Yang, G.,Pignatti, S.,Pascucci, S.,Yang, H.,Yang, G.. 2015
[2]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. Casa, R.,Silvestro, P. C.,Yang, H.,Yang, G.,Pignatti, S.,Pascucci, S.,Yang, H.,Yang, G.. 2016
[3]GLOBAL SENSITIVITY ANALYSIS OF WINTER WHEAT YIELD AND PROCESS-BASED VARIABLE WITH AQUACROP MODEL. Xing, Huimin,Yang, Fuqin,Xing, Huimin,Xu, Xingang,Yang, Fuqin,Feng, Haikuan,Yang, Guijin,Xing, Huimin,Xu, Xingang,Yang, Fuqin,Feng, Haikuan,Yang, Guijin. 2016
[4]Estimating Wheat Yield in China at the Field and District Scale from the Assimilation of Satellite Data into the Aquacrop and Simple Algorithm for Yield (SAFY) Models. Silvestro, Paolo Cosmo,Casa, Raffaele,Pignatti, Stefano,Pascucci, Simone,Yang, Hao,Li, Zhenhai,Yang, Guijun,Huang, Wenjiang. 2017
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