以2010年TM影像为数据源,应用ArcGIS、Erdas软件对影像解译,把关中—天水经济区的土地利用景观分为6大景观类型。运用景观格局分析软件Fragstats 3.3,选择景观类型所占景观面积的比例、斑块个数、最大斑块指数、形状指数、平均分维数、连接度指数,从景观类型级别上探讨了景观格局指数的粒度效应,并对部分景观指数随粒度变化曲线进行了拟合。结果表明:在粒度为30~600 m,各景观类型的不同景观格局指数呈现出4种变化趋势:①指数值基本不变;②指数值呈现有规律的上升或下降,有明显拐点;③指数值呈现有规律的上升或下降,但是拐点不明显;④指数无规律变化;部分景观指数随粒度变化曲线,可分别用三次函数和线性函数进行拟合;关中—天水经济区各景观类型景观指数计算的适宜粒度范围是耕地为120 m、林地为120~160 m、草地为90~130m、水域为90~110 m、建设用地为90~130 m、未利用地为110~160 m。
Based on the data of TM images in 2010,The Guanzhong-Tianshui Economic Zone was divided into 6 landscape types using the ArcGIS software and Erdas software.The Fragstats 3.3 spatial analysis program was used to study the granularity effect of landscape pattern indices from the landscape types by selecting the area proportion of plots,number of patches,largest patch index,landscape shape index,mean fractal dimension of patches and connectivity index,and the fitting functions were analyzed.The results showed that there were 4 kinds of change trends of landscape pattern indices under a granularity range of 30-600 m:① The exponent value was basically unchanged;② The exponent value was regularly increased or decreased with an obvious inflection point;③ The exponent value was regularly increased or decreased without an obvious inflection point;④ The index changed irregularly;the response curves of landscape pattern indices to granularity could be fitted with cubic function and linear function separately.In the Guanzhong-Tianshui Economic Zone,the suitable granularity ranges for computing and analyzing the landscape indices were 120 m for cultivated land,120-160 m for forest,90-130 m for grasslands,90-110 m for waters,90-130 m for construction land,and 110-160 m for unused land,respectively.