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中国沙漠 ›› 2009, Vol. 29 ›› Issue (6): 1043-1048.

• 沙漠与沙漠化 • 上一篇    下一篇

长江源区土地利用/覆盖现状及成因分析

逯军峰, 董治宝*, 胡光印, 颜长珍, 宋 翔, 魏振海   

  1. 中国科学院 寒区旱区环境与工程研究所 沙漠与沙漠化重点实验室, 甘肃 兰州 730000
  • 收稿日期:2008-10-28 修回日期:2009-03-18 出版日期:2009-11-20 发布日期:2009-11-20

Land Use/Land Cover Status and Forming Causes in Source Regions of Yangtze River

LU Jun-feng, DONG Zhi-bao, HU Guang-yin, YAN Chang-zhen, SONG Xiang, WEI Zhen-hai   

  1. Key Laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2008-10-28 Revised:2009-03-18 Online:2009-11-20 Published:2009-11-20

摘要: 以地形图、TM影像为主要信息源,利用遥感和GIS的空间分析技术对长江源区的土地利用/覆盖现状进行研究。在此基础上分析土地利用现状特征的形成原因。研究结果表明,长江源区草地面积为8 377 079.3 hm2,占研究区面积的58.9%,其中高覆盖度草地、中覆盖度草地、低覆盖度草地分别占研究区面积的10.28%、21.36%、27.23%;未利用土地面积为4 595 112.1 hm2,占研究区面积的32.3%,其中沙地、戈壁、盐碱地、沼泽地、裸土地、裸岩石砾地、高寒荒漠分别占研究区面积的3.66%、5.80%、0.25%、4.19%、2.24%、6.28%、9.88%;其次为水域、林地、耕地、城乡工矿居民用地,分别占研究区面积的7.2%、1.6%、0.01%、0.004%。

关键词: 长江源区, 土地利用/覆盖, 遥感

Abstract: The status of land use/land cover in the source regions of the Yangtze River was studied by using the techniques of remote sensing and the geographical information system based on the information resources of TM images in 2005 and relief maps. The results show that the grassland area was 8 377 079.3 hm2, occupying 58.9% of the total source area, in which the high coverage grassland, moderate coverage grassland and low coverage grassland occupied 10.28%, 21.36%, 27.23% of the total source area, respectively; the unused land area was 4 595 112.1 hm2, occupying 32.3% of total area, in which sand land, gobi desert, saline land, marshland, bare land, bare rock and cold desert occupied 3.66%, 5.80%, 0.25%, 4.19%, 2.24%, 6.28%, 9.88%, respectively; the water area, forestry land, farmland, residential land occupied 7.2%, 1.6%, 0.01%, 0.004% of the total area, respectively. At last, the reasons for this status was also analyzed.

Key words: source regions of the Yangtze River, land use and land cover, remote sensing

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