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基于EOS/MODIS数据的南方水稻面积提取技术
引用本文:张 莉,吴文斌,左丽君,周清波.基于EOS/MODIS数据的南方水稻面积提取技术[J].中国农业资源与区划,2011,32(4):39-44.
作者姓名:张 莉  吴文斌  左丽君  周清波
作者单位:1. 农业部资源遥感与数字农业重点开放实验室,北京100081;中国农业科学院农业资源与农业区划研究所,北京100081
2. 中国科学院遥感研究所,北京,100101
基金项目:基金项目:基金项目:国家高技术研究发展计划(编号2009BADA9B01),国家重点基础研究发展计划(编号2010CB951504),国家自然 科学基金重点项目(编号40930101)
摘    要:该文以我国南方15省、市和自治区为研究区域,采用高时频的EOS/MODIS卫星数据,构建了水稻播种面积识别算法,实现了南方各类水稻(早稻、晚稻和单季稻)种植面积的快速提取。该研究在很大程度上解决了困扰农情遥感监测业务运行中水稻种植面积及其空间分布的难题,可为作物估产、农作物长势以及墒情遥感监测提供基础。

关 键 词:EOS/MODIS  EVI  LSWI  水稻种植面积  提取技术研究
收稿时间:2010/9/23 0:00:00

Extracting planting area of paddy rice in Southern China by using EOS/MODIS data
Zhang Li,Wu Wenbin,Zuo Lijun and Zhou Qingbo.Extracting planting area of paddy rice in Southern China by using EOS/MODIS data[J].Journal of China Agricultural Resources and Regional Planning,2011,32(4):39-44.
Authors:Zhang Li  Wu Wenbin  Zuo Lijun and Zhou Qingbo
Institution:(1.Key Laboratory of Resources Remote Sensing & Digital Agriculture,Ministry of Agriculture,Beijing 100081,China; 2.Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,China; 3.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101)
Abstract:This study used the high time-series of EOS/MODIS to extract the planting areas of paddy rice in South China.In doing that,the regionalization was firstly carried out,and then the algorithms for each individual zone were built based on the characteristics of EVI and LSWI and the ground field data.These algorithms were applied to extract the planting areas of double rice and single rice cropping in Southern China in 2008.The results are helpful for the China Agriculture Remote Sensing Monitoring System(CHARMS) in crop growth monitoring and yield estimations,as well natural disaster monitoring.
Keywords:Keywords  EOS/MODIS  EVI  LSWI  planting area  extracting
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