文献类型：会议论文

英文题名：Study on ENVISAT ASAR data assimilation in rice growth model for yield estimation

作者：Shen, S.H.[1] Yang, S.B.[1] Li, B.B.[2] Zhao, X.Y.[1] Tan, B.X.[3] Li, Z.Y.[3] Le Toan, T.[4]

第一作者：Shen, S.H.

机构：[1] College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China; [2] Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China; [3] Institute of Forest Resources Information Technique, Chinese Academy of Forestry, Beijing, 100091, China; [4] CESBIO, 18 Avenue Edouard Belin, Toulouse Cedex 9, 31401, France

会议论文集：21st ISPRS Congress - Technical Commission VII

会议日期：July 3, 2008 - July 11, 2008

会议地点：Beijing, China

语种：英文

外文关键词：Classification (of information) - Crops - Optimization - Pixels - Remote sensing

年份：2008

摘要：In this paper, a practical scheme for assimilation of multi-temporal and multi-polarization ENVISAT ASAR data in rice crop model to map rice yield has been presented. To achieve this, rice distribution information should be obtained first by rice mapping method to retrieve rice fields from ASAR images, and then an assimilation method is applied to use the temporal single-polarized rice backscattering coefficients which are grouped for each rice pixel to re-initialize ORYZA2000. The assimilation method consists in re-initializing the model with optimal input parameters allowing a better temporal agreement between the rice backscattering coefficients retrieved from ASAR data and the rice backscattering coefficients simulated by a coupled model, i.e. The combination of ORYZA2000 and a semi-empirical rice backscatter model through LAI. The SCE-UA optimization algorithm is employed to determine the optimal set of input parameters. After the re-initialization, rice yield for each rice pixel is calculated, and the yield map over the area of interest is produced finally. The scheme was applied over Xinghua study area located in the middle of Jiangsu Province of China by using the data set of an experimental campaign carried out during the 2006 rice season. The result shows that the obtained rice yield map generally overestimates the actual rice production situation, with an accuracy of 1133 kg/ha on validation sites, but the tendency of rice growth status and spatial variation of the rice yield are well predicted and highly consistent with the actual production variation. ? 2008 International Society for Photogrammetry and Remote Sensing. All rights reserved.