基于多时相FY-3A/MERSI的新疆地区植被指数提取及变化分析  

Extraction and Analysis of Vegetation Index in Xinjiang Area Based on Multitemporal FY-3/MERSI

作　　者：李聪[1] 张旭[1] 石玉[1] 杨志华[1] 

机构地区：[1]新疆气候中心,新疆乌鲁木齐830002

出　　处：《现代农业科技》2016年第8期199-200,208,共3页Modern Agricultural Science and Technology

基　　金：新疆气象局科研项目"基于多时相FY~3卫星的新疆地区植被指数分析及业务应用"(201302)

摘　　要：近年来,我国遥感卫星技术发展迅速,新一代极轨气象卫星风云三号(FY3)上携带的分辨率光谱成像仪(MERSI)已获取大量对地观测资料,在大尺度遥感监测等方面显示出较高的实用价值。为了实现自动批量处理FY-3A/MERSI影像数据,提取新疆范围植被指数特征,为今后新疆植被类型制图方法研究做准备,对MERSI数据经过预处理、投影变换等处理,提取植被指数特征数据,按旬生成最大植被指数时间序列影像;并对生成的归一化植被指数(NDVI)结果进行分析,其结果可为今后按MERSI NDVI时间序列影像进行新疆植被类型分布研究、监测植被长势的应用等后续工作做准备。In recent years, China＇s development of satellite remote sensing technology rapidly, a new generation of Polar Orhiting Meteorological Satellite FY-3 carrying resolution spectral imager （MERSI） has acquired a lot of observation data, shows a high practical value in the large scale remote sensing monitoring.In order to realize the automatic batch processing of domestic FY-3A/MERSI image data,extracting vegetation index in Xinjiang range,in preparation for the study of Xinjiang vegetation mapping method in the future ,the MERSI data after preprocessing,projection transform processing, extraction of vegetation index data, generated by ten days maximum vegetation index time series image;automatic batch processing of Xinjiang the range of MERSI data using the IDL programming language ,the vegetation index data generated by ten days time series of 250 m spatial resolution algorithm;and the normalized difference vegetation index （NDVI） were analyzed, and the results could be to prepare for the future according to the MERSI NDVI time series images of Xinjiang vegetation research, monitoring vegetation growth application subsequent work.

关 键 词：FY-3A/MERSI NDVI 提取 分析 

分 类 号：S73[农业科学—林学]