| 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 |
| DOI：10.7621/cjarrp.1005-9121.20110409 |
| 分类号: |
| 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） |
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| Extracting planting area of paddy rice in Southern China by using EOS/MODIS data |
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Zhang Li1, Wu Wenbin1, Zuo Lijun2, Zhou Qingbo1
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1.Key Laboratory of Resources Remote Sensing & Digital Agriculture， Ministry of Agriculture， Beijing 100081， China/Institute of Agricultural Resources and Regional Planning， Chinese Academy of Agricultural Sciences， Beijing 100081，China;2.Institute of Remote Sensing Applications， Chinese Academy of Sciences， Beijing 100101
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| 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. |
| Key words: EOS/MODIS EVI LSWI planting area extracting |
