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

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.