昆明市主城区不透水面遥感监测及时空变化研究

Remote Sensing Monitoring and Spatiotemporal Change of Impervious Surface in Kunming′s Main Urban Area

基于LANDSAT 5TM和LANDSAT 8OLI影像数据,利用三种算法提取了昆明市主城区1994年至2015年不透水面,并对提取算法精度、不透水面数量时空变化和景观格局进行了分析.实验结果表明:相比于使用单一指数提取不透水面,采用基于土壤调节植被指数、祼土指数等的决策树分类结果精度较高;近20年来昆明市主城区的不透水面面积迅速增加,城市景观的聚集度较大,城市发展相对较为集中.

This article used three kinds of algorithms to extract impervious surface of the main urban area of Kunming based on LANDSAT 5 TM and LANDSAT 8 OLI image data from 1994 to 2015.Then the accuracy of the extraction algorithms,the spatiotemporal variation of the impervious surface and the landscape pattern are analyzed.Finally,we find that the results of decision tree classification based on SAVI and BSI are better than those of the single index.Besides,the area of impervious surface of Kunming′s main urban area is increasing rapidly in the past 20 years,its Aggregation Index is relatively large,and the urban development is concentrated.