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基于时序Landsat数据的地理国情监测方法初探 被引量:4

A tentative discussion on the geographical condition monitoring method based on long time series Landsat data
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摘要 为全面掌握地表自然和人文地理国情信息,基于北京市海淀区1986—2010年间8个不同时相的Landsat数据,分析了海淀区资源与环境要素的时空变化特点,讨论了其中的驱动因素。结果表明:在1986—2010年间,耕地面积减少了45.7%,建设用地面积增加了38.95%,林、草地面积增加了23.44%,水体和其他用地面积变化不明显;城市范围向西、向北方向扩展,在西北旺地区表现得尤为明显;城市质心向西北方向偏移;城市紧凑度逐渐减小,分形指数逐渐增大,反映出城市饱和程度降低,城市边界逐步复杂化,综合土地利用动态度呈先减小后增大的趋势。因此认为,人口的增长、经济的发展、基础设施的建设以及政策法规的制定等,都促进了北京市海淀区资源与环境要素的变化。 To fully grasp the nature and human geography situation information and solve the problem of ecological environment, economic and social development of China, it is of great significance to monitor the resource and environment indexes. The authors studied the spatial and temporal distribution of resources and environment in Haidian District of Beijing from 1986 to 2010 with Landsat TM images. Meanwhile, the driving forces were analyzed. The results show that, from 1986 to 2010, farmland decreased by 45. 7%, build-up land increased by 38. 95%, forest and grass land increasd by 23. 44%, and water and other land kept constant. Urban area extended westward and northward, especially in Xibeiwang area. The mass center of Haidian also moved to the northwest. The urban compactness decreased and the fractal index increased gradually, indicating that the city saturation degree was reduced, and the city boundary became complicated gradually. The comprehensive land use dynamic degree first decreased and then increased. Population growth, economic development, infrastructure construction and the formulation of policies and regulations all contributed to the changes of resources and environment.
出处 《国土资源遥感》 CSCD 北大核心 2015年第2期126-132,共7页 Remote Sensing for Land & Resources
关键词 长时间序列 地理国情监测 指标体系 时空变化 驱动因素 long time series geographical conditions monitoring indicator system temporal and spatial variation driving force
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