作　　者： ; ; ;

机构地区： 福建师范大学地理科学学院

出　　处： 《地球信息科学》 2005年第1期103-106,115,共5页

摘　　要： 本文利用线性光谱模型分解混合像元方法。从ASTER多光谱遥感数据提取福州地区植被覆盖丰度的定量信息,与归一化差值植被指数进行了回归分析,结果相关系数高达95％;通过对植被景观格局分析,表明研究区以中等丰度植被占据主要地位,生态系统较为稳定。 Vegetation coverage is an important parameter for evaluating eco-environment of a certain region.Numerous methods have been developed to derive local vegetation condition information from remote sensing data nowadays. Because the existence of mixed pixel, many spectral immixture models have been developed such as linear, probabilistic, geometric-optical, stochastic geometric, fuzzy models. This article tried the most convenient and simple method, linear spectral immixture model on ASTER image data of Fuzhou area. Using this method this paper has generated the vegetation fraction image of Fuzhou area, and evaluated the result by doing a regression analysis between it and the NDVI (Normalized Difference Vegetation Index) image which is also derived from the same scene of the image. The evaluating result shows a strong positive correlation. The landscape matrix of the research area has also been obtained by using FRAGSTSTS software package, which shows that the vegetation coverage of Fuzhou area is in good condition except the dominant type is in the moderate condition.

关 键 词： 遥感数据挖掘 线性光谱混合模型 影像 植被覆盖 福州

领　　域： [自动化与计算机技术] [自动化与计算机技术] [经济管理]