基于MODIS数据的环北京地区土地资源监测研究

本文基于MODIS 16天合成的NDVI时间序列数据及其他辅助数据,首先用PCA方法对NDVI时间序列数据进行信息增强与压缩处理,结合LST数据、DEM数据及降雨温度数据,利用模糊K-均值非监督分类法,进行环北京地区的土地覆盖分类,得到土地资源现状情况。然后利用变化矢量(CVA)分析方法对环北京地区的土地利用及植被覆盖的多年变化状况进行了分析。结果表明,MODIS数据能很好的应用于大范围的土地资源监测中,并能得到较好的结果。

Land recourses monitoring in area around Beijing based on MODIS data

This paper presented the research on land recourses monitoring in area around Beijing based on MODIS 16-day NDVI and 8-day LST time series datasets in 2002,1:50000 DEM and some ancillary data.In order to improve the classification accuracy,authors performed a PCA transform on the MODIS NDVI time series data to remove noises,and selected the first four components as the basic land cover classification data.Then combined with MODIS LST data,DEM and other ancillary data of study area,they applied fuzzy K-means non-supervised classifier to get the land cover automatic classification in area around Beijing.After post-classification process of the original classification result, the last land cover classification map of area around Beijing in 2002 was got. At last,change vector analysis(CVA) was applied to preprocessed NDVI time series for analyzing changes of land use and vegetation cover from 2001 to 2004.The final result showed that the 250m MODIS NDVI time series data not only can suit to large-scale land recourses monitoring,but also can have better monitoring accuracy.