基于EOS/MODIS数据的南方水稻面积提取技术  

EXTRACTING PLANTING AREA OF PADDY RICE IN SOUTHERN CHINA BY USING EOS/MODIS DATA

作　　者：张莉[1,2] 吴文斌[1,2] 左丽君[3] 周清波[1,2] 

机构地区：[1]农业部资源遥感与数字农业重点开放实验室,北京100081 [2]中国农业科学院农业资源与农业区划研究所,北京100081 [3]中国科学院遥感研究所

出　　处：《中国农业资源与区划》2011年第4期39-44,共6页Chinese Journal of Agricultural Resources and Regional Planning

基　　金：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。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.

关 键 词：EOS/MODIS EVI LSWI 水稻种植面积 提取技术研究 

分 类 号：S511[农业科学—作物学]