摘要
以广西兴安县为研究区,采用多时相陆地卫星遥感数据,通过不同波段组合,以及归一化差异植被指数(NDVI)、数字高程模型等,详细分析了各地表地物光谱特征和空间特征,以分区分类为主导思想,采用决策树方法进行分类,得到了具有较高精度的分类结果图.并基于不同时相分类结果的变化检测,定量分析了研究区生态环境的动态变化.结果表明,自1991年至1999年近10年间,研究区植被退化,耕地大量减少,水体、荒草地、城区用地增加,兴安县的生态环境处于逐步退化状态.
A new method is proposed to monitor the ecological environment of mountain area in Xing＇ an, Guilin. It uses multi-temporal Landsat TM/ETM ＋ imagery as data sources, adopts the decision tree method to interpret the study area with the help of the spectral and spatial characteristics of the ground objects and normalizes difference vegetation index （NDVI） and digital elevation model （DEM）. With the method, the land covers are classified into 6 types, including woodland, shrub, wildland, fields and residential area. The accurate resuhs can detect temporal and spatial changes and quantitatively analyze the different features of Xing＇ an. The change detection results from 1991 to 1999 show the quantity of vegetation and fields are reduced a lot; while water, residential area and wilddland increased. The ecological environment of Xing＇an has been in the state of degradation. The analysis provides useful information for protection the ecological environment of Xing＇ an and the watershed of Liiiang River.
出处
《桂林工学院学报》
北大核心
2006年第4期529-533,共5页
Journal of Guilin University of Technology
基金
广西自然科学基金资助项目(桂科基0448076)
关键词
山区
生态环境
遥感
分区分类
决策树
mountain area
ecological environment
remote sensing
subregion classification method
decisiontree
