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黄土高原陇东地区土地利用遥感动态研究 被引量:24

STUDY ON THE DYNAMIC CHANGE OF LAND USE IN THE LONGDONG REGION IN THE LOESS PLATEAU
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摘要 根据 1986和 2 0 0 0年 2期TM影象 ,利用ARC/INFO、ARCVIEW地理信息系统软件 ,在人机交互下进行信息提取 ,对空间分布数据全面统计分析 ,剖析了陇东所辖十三个县 (市 ) 1986~ 2 0 0 0年十四年间土地利用类型质量空间变化。针对区域土地利用程度及生态环境可能产生的影响进行了简要的评价。最终为陇东地区土地综合治理和可持续利用提供了可靠的理论依据。 Regional land use change is an important part of global change. Located in the eastern part of Gansu Province, i.e., 35°15′~ 37°10′N, 106°20′~ 108°45′E, the Longdong region, an important part of the Loess Plateau in China, covers Pingliang and Qingyang prefectures, and has an area of 38259.8 km 2. It is in a semi humid and semi arid farming grazing ecotone, its ecological environment is vulnerable and is extremely sensitive to human activities. The rapid population growth and the social and economic development have resulted in a great change of land use in the region since the 1980's, which has also brought about a great impact to the ecological improvement in the whole Loess Plateau, rebuilding northwest China with the beautiful mountains and waters, and the great development of northwest China. Therefore, it is necessary and urgent to research the land use change in the Longdong region since recent decades by combining remote sensing with geographical information system (GIS). Based on the TM images of the years of 1986 and 2000 and by using the GIS software of ARC/INFO and ARVIEW, in this paper the information is extracted, the statistics and the analysis on the spatial distribution data are carried out, and the spatial change of the land use types and quality in the region during the period of 1986~2000 is discussed. The regional land use degree and the possible impact on the ecological environment are assessed. A theoretical basis is provided for the synthetic improvement of the land and the sustainable land use in the Longdong region.
出处 《干旱区地理》 CSCD 北大核心 2002年第2期183-188,共6页 Arid Land Geography
基金 中国科学院创新工程项目"国土环境遥感信息与数字地球相关理论技术研究"(KZCX -Y0 2 -0 1-0 4)
关键词 黄土高原 陇东地区 土地利用 遥感 地理信息系统 生态环境 空间分布数据 Longdong region land use change remote sensing GIS.
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