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景观指数分析是进行遥感监测土地利用及变化空间格局的重要方法之一,而因为遥感分类方法的不同,所计算出的同一景观指数所揭示的土地变化模式可能出现较大差异。以北京市密云县为研究区,对影像分别进行了面向对象分类与基于像元的监督分类,并对两种分类进行景观指数计算,利用配对样本t检验方法对各景观指数进行了差异显著性分析。分析结果显示地类面积比例(PLAND)和最大斑块指数(LPI)在两种分类方法之间差异不显著;边缘密度(ED)略有显著差异性;而斑块数量(NP)、斑块面积平均值(AREA_MN)、聚合度(AI)与周长面积分维数(PAFRAC)在两种分类方法之间差异显著。
The analysis of landscape index is one of the most important methods for remote sensing monitoring of land use and spatial pattern of change. However, due to the difference of remote sensing classification methods, the calculated land change pattern revealed by the same landscape index may be greatly different. Taking Miyun County, Beijing as the research area, the images were respectively classified into object-oriented and pixel-based supervised classification. The landscape indices of the two categories were calculated. The paired sample t-test was used to analyze the differences of the landscape indices analysis. The results showed that there was no significant difference between PLAND and LPI in the two classification methods; ED was slightly different; however, the number of plaque (NP), plaque AREA_MN, PA and PAFRAC were significantly different between the two classification methods.