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以安徽省东至县梅城林场1999、2002和2006年同期LandsatETM+遥感图像为主要数据源,辅以该林场森林资源二类清查数据、1:1万小班地形图、1:2.5万林相图及小班调查卡片,利用Erdas9.0对遥感图像进行波段组合、几何校正、图像融合等预处理,选用非监督分类方法进行了不同时期森林景观分类,形成森林景观影像专题图,并将其输入FRAGSTATS景观分析软件,计算各类森林景观指数,分析对比梅城林场不同时期森林景观格局动态变化,为森林景观规划提供依据。结果表明,1999至2006年间梅城林场森林景观破碎程度逐渐降低,但仍以马尾松和杉木林为优势森林景观;阔叶林和针阔混交林面积呈上升趋势;森林景观斑块的形状较为规则和简单;森林景观连通度增加。
Landsat ETM + remote sensing images of Meicheng Forest Farm in Dongzhi County, Anhui Province in 1999, 2002 and 2006 were used as main data sources, supplemented by two types of inventory data of forest resources, 1: 10000 small scale topography, 1: 2.500 forest phase diagram and Small-scale survey card, the use of Erdas9.0 remote sensing image band combination, geometric correction, image fusion and other pre-treatment, the use of unsupervised classification of forest landscape at different periods of classification, the formation of the forest landscape image map, and its input FRAGSTATS landscape Analysis software to calculate various forest landscape indices, analyze and compare the dynamic changes of forest landscape pattern in different periods of Meicheng forest farm, and provide the basis for forest landscape planning. The results showed that the fragmentation degree of forest landscape in Meicheng forest farm gradually decreased from 1999 to 2006, but Pinus massoniana and Cunninghamia lanceolata were the dominant forest landscape; the area of broad-leaved forest and coniferous-broad-leaved forest increased; the shape of forest landscape patch was Rules and simplicity; Increased connectivity of forest landscapes.