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RICE MONITORING IN CHINA MID-TERM REPORT

机译:中国中期报告中的稻米监测

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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 (CO_2, CH_4) 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.
机译:本文总结了该项目的目标,所进行的工作,获得的结果,并概述了该项目的后续步骤。该项目的目的是开发一种使用ENVISAT数据进行水稻作图的方法,并检索表征与水稻生长建模有关的稻田(生物量,光合作用,水管理状况)的信息。总体目标是在地方和区域范围内估算水稻产量,并在区域范围内估算碳通量(CO_2,CH_4)。在研究的第一阶段,在选定的测试区域开发了遥感方法,用于水稻作图和水稻参数检索。活动包括地面数据收集和遥感数据分析。同时,在中国进行了大规模作物模拟的前期工作。使用2004年和2005年江苏省测试地区的ENVISAT数据获得的结果表明,有可能1)使用ASAR APP的两个极化在单个日期绘制稻田图,2)使用极化比检索稻田生物量, 3)绘制主要水稻品种的地图,4)使用多日期ASAR WideSwath数据实现区域水稻地图绘制,以及5)检测间歇性排水。这些尚待验证和证实的新发现显示出对水稻生长地区进行统计的巨大潜力,并为水稻生长的建模提供了重要信息。 ENVISAT ASAR数据有望在2006年用于至少在区域范围内对该方法进行论证,并将遥感纳入作物建模。

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