国土资源遥感Issue(2)：132-137,6.DOI:10.6046/gtzyyg.2012.02.24
基于多时相遥感影像的龙岩市景观格局变化分析
A Study of the Landscape Pattern Change of Longyan City Based on Multi -temporal Remote Sensing Images
摘要
Abstract
Landsat TM /ETM+ images of Longyan city were employed for landscape pattern classification by traditional MLC (maximum likelihood classification) , DTC(decision tree classification) and SVM (support vector machine) techniques. A comparison between the three classification methods shows that the SVM classification method has outstandingly higher classification accuracy than the other methods. In combination with the theory of landscape ecology, therefore, the authors used the classification results of SVM to analyze the landscape pattern dynamic change of Xinluo district, Longyan city, from 1992 to 2008. The experimental results indicate that, from 1992 to 2008, the agricultural land of the main city proper of Xinluo district was reduced greatly due to its transformation into the built - up land, but the forest coverage remained good. Meanwhile, urban landscape component changed from the process of diffusion growth into agglutinate clustering process and the urban pattern was converted from unstable into stable. Overall, the urban landscape showed the tendency of less fragmentation, lower diversity and higher concentration, and the built - up land had become the main landscape type of Longyan city.关键词
景观格局/变化分析/遥感影像/龙岩市Key words
landscape pattern/change analysis/remote sensing image/Longyan city分类
计算机与自动化引用本文复制引用
陈雪玲,陈绍杰,杜培军,夏俊士..基于多时相遥感影像的龙岩市景观格局变化分析[J].国土资源遥感,2012,(2):132-137,6.基金项目
福建省科技厅重点项目(编号:2010Y0041)、国土环境与灾害监测国家测绘局重点试验室开放式基金项目(编号:LEDM2009C04)以及龙岩市科技局重点项目(编号:2009LY71)共同资助. （编号:2010Y0041）
