Research the dynamics of landscape spatial pattern of urban-rural ecotone using multi-temporal remote sensing image

Based on accurate landscape information acquired from multi-temporary satellite imagery, dynamics of landscape spatial patterns of urban-rural ecotone are examined in this study. A case study is carried out in the east part of Beijing city. At first, with a reference of land use classification, landscape is divided into 5 types and 11 subtypes using satellite SPOT images of 1986(SP0T1), 1996(SPOT2) and 2002(SPOT5). Then landscape indices of each year are calculated basing on the classification results of landscape types, including fragmentation index, diversity index, and evenness index for total characters, and fractal dimension index, nearest neighbor index, mean patch nearest distance, proportion of patch area and patch density for single landscape patch measuring. In addition, according to analysis of those indices and dynamics of landscape spatial pattern in that area, driving factors are investigated in order to find the relationships between landscape evolution and urban development.