文献类型：会议论文

英文题名：Rice monitoring in China mid-term report

作者：Le Toan, Thuy[1] Bouvet, Alexandre[1] Tan, Bingxiang[2] Li, Zengyuan[2] He, Wei[2] Li, Bingbai[3] Zhang, Pingping[3] Bondeau, Alberte[4]

第一作者：Le Toan, Thuy

通信作者：Le Toan, T.

机构：[1] Centre d'Etudes Spatiales de la Biosphère, 18 Avenue Edouard Belin, 31401Toulouse Cedex 9, France; [2] Institute on Forest Resources and Information Technique, Chinese Academy of Forestry, Beijing, China; [3] Institute of Agricultural Resource and Environment, Jiangsu Academy of Agriculture Sciences, Nanjing, China; [4] Potsdam Institute for Climate Research [PIK], Potsdam, Germany

会议论文集：Proceedings of the 2005 Dragon Symposium - Dragon Programme Mid-Term Results

会议日期：June 27, 2005 - July 1, 2005

会议地点：Santorini, Greece

语种：英文

外文关键词：Condition monitoring - Information retrieval - Project management - Remote sensing

年份：2006

摘要：This paper summarises the objectives of the project, the works undertaken, the results obtained, and outlines the next steps of the project. The objective of the project is to develop methodology to use ENVISAT data for rice mapping and retrieving information characterising rice fields (biomass, photosynthetical activities, water management status) relevant to the modelling of rice growth. The overall goal is the estimation of rice production at local and regional scale and the estimation of the Carbon fluxes (CO2, CH4 at regional scale. In the first phase of the study, remote sensing methodology is developed at selected test areas for rice mapping and retrieving of rice parameters. The activities include ground data collection and analysis of remote sensing data. Meantime, preliminary works on large scale crop modelling in China have been undertaken. The results obtained using ENVISAT data in 2004 and 2005 at the test areas in Jiangsu province indicate that it is possible 1) to map rice fields at a single date using two polarisations of ASAR APP, 2) to retrieve rice biomass using the polarisation ratio, 3) to map the main rice varieties, 4) to achieve regional rice mapping using multidate ASAR WideSwath data, and 5) to detect intermittent drainage. These new findings, still to be validated and confirmed, show great potential for statistics of rice growth areas, and in providing the essential information for the modelling of rice growth. ENVISAT ASAR data are expected in 2006, for a demonstration of the methodology, at least at a regional scale, and for an integration of remote sensing in crop modelling.