1. College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China 2. National Phosphate Resources Development and Utilization Engineering Technology Research Center, Kunming 650500, China 3. College of Resources and Environment, Nanjing Agricultural University, Nanjing 210095, China
This study is aimed to discuss the temporal and spatial evolution of landscape pattern under the impact of mining work. With the support of moving window analysis and geographic information system (GIS) technology, the authors extracted the spatial distribution map of landscape fragmentation and diversity index from three remote sensing image data in one open-air mining site in Kunming from 2007 to 2017. On the basis of obtaining landscape types and determining appropriate window scales, the spatial distribution maps of landscape fragmentation and diversity index were extracted, and then mining site cores were connected to build transects for spatial overlay analysis. The result shows that, under the most suitable window range of 950 m, the high value center of landscape fragmentation and diversity index spread from the regional edge to the center from 2007 to 2017. The effect of patch aggregation in open mining area was remarkable, and the fragmentation and diversity effect of surrounding area in nearly 1~2 km were obvious year by year. At the same time, the area beyond 2.5 km of the mining center was on the whole not affected by mining activities. The result visually shows the rule for the temporal and spatial evolution of landscape pattern affected by mining activities, and the result can provide data support for follow-up work.
梅昭容, 李云驹, 康翔, 魏善宝, 潘剑君. 基于移动窗口分析法的矿区景观格局时空演变研究[J]. 国土资源遥感, 2019, 31(4): 60-68.
Zhaorong MEI, Yunju LI, Xiang KANG, Shanbao WEI, Jianjun PAN. Temporal and spatial evolution in landscape pattern of mining site area based on moving window method. Remote Sensing for Land & Resources, 2019, 31(4): 60-68.
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