地球信息科学学报 ›› 2011, Vol. 13 ›› Issue (5): 594-600,610.doi: 10.3724/SP.J.1047.2011.00594

• 地球信息综合分析 • 上一篇    下一篇

珠穆朗玛峰国家自然保护区沼泽湿地提取及其退化风险评价

马飞1, 阚瑷珂2, 李景吉3,2, 管磊4, 陈晓琴3   

  1. 1. 四川空间信息产业发展有限公司, 成都 610041;
    2. 西藏自治区科技信息研究所, 拉萨 850001;
    3. 成都理工大学地球科学学院, 成都 610059;
    4. 成都理工大学地球探测与信息技术教育部重点实验室, 成都 610059
  • 收稿日期:2011-03-09 修回日期:2011-09-21 出版日期:2011-10-25 发布日期:2011-10-25
  • 通讯作者: 阚瑷珂(1980-),博士后,从事遥感与地理信息技术研究。E-mail: kanaike@gmail.com E-mail:kanaike@gmail.com
  • 作者简介:马飞(1986-),陕西扶风人,助理工程师,主要从事3S集成应用工作。E-mail: mafei0701@163.com
  • 基金资助:

    国家自然科学基金项目(41161067);国际科技合作项目(2008DFA11020);国家科技支撑计划课题(2009BAH50B02)。

Distribution and Potential Degradation Risk Evaluation of Marsh Wetland in the Mt. Qomolangma National Nature Reserve

MA Fei1, KAN Aike2, LI Jingji3,2, GUAN Lei4, CHEN Xiaoqin3   

  1. 1. Sichuan Spatial Information Industry Development Co. Ltd, Chengdu 610041, China;
    2. Tibet Autonomous Region Science & Information Technology Institute, Lhasa 850001, China;
    3. College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China;
    4. Key Lab. of Geo-detection & Information Techniques of Ministry of Education, Chengdu University of Technology, Chengdu 610059, China
  • Received:2011-03-09 Revised:2011-09-21 Online:2011-10-25 Published:2011-10-25

摘要: 以珠穆朗玛峰国家自然保护区为研究区域,选取2009年23幅MODIS NDVI影像,采用傅里叶变换的HANTS算法去除云干扰,并重构NDVI时间序列图像。(1)根据研究区沼泽湿地与其他地物类型物候特征的差异,利用光谱角制图方法(SAM)获取了研究区2009年沼泽湿地的分布图。研究区沼泽湿地共有2481.13km2,占全区面积的6.88%;其中定日县分布最多,占沼泽湿地总面积的36.85%;其次为定结县、聂拉木县和吉隆县,分别占25.79%、24.5%和12.86%;(2)选用年平均气温的线性变化趋势为自然风险因子,居民点和道路影响为人为风险因子,对研究区沼泽湿地进行退化风险评价,划分为低风险、较低风险、一般风险、较高风险、高风险5个级别,各风险级别沼泽湿地面积占沼泽湿地总面积的比例分别为7.39%、13.61%、24.72%、31.43%、22.84%。

关键词: 距离衰减, 退化风险评价, 珠穆朗玛峰自然保护区, 沼泽湿地, 光谱角制图

Abstract: The Mt. Qomolangma National Nature Reserve was established on 18 March, 1989. In March 2005, it was listed in the global biosphere protected area network, for the marsh wetland there is very important to the environment of this region. In this paper, we took the Mt. Qomolangma National Nature Reserve as the study area, selected all 23 MODIS NDVI images of 2009, used the HANTS algorithm based on Fourier transform to remove the interference of the cloud and reconstruct NDVI time series images. The spectral angle mapper (SAM) was used to extract marsh wetland of the study area according to the different phenological characters between marsh wetland and other surface features. The area of marsh wetland is 2481.13km2, which account for 6.88% of the total study area. Its distribution in Tingri County was the most abundant, which account for 36.85% of the total marsh wetland area|followed by Dingjie, Nyalam and Gyirong counties, the proportions are 25.79%, 24.5% and 12.86% respectively. According to the characteristics of the study area, we evaluated the potential degradation risk of marsh wetland in the study area by selecting annual mean temperature linear trend as natural risk factor, influences of settlements and roads as artificial risk factors which are based on distance decay theory. This paper divided general risk assessed results mainly into five grades, that is, the lowest risk, lower risk, moderate risk, higher risk, and the highest risk. The proportions of the total marsh wetland area in the study area are 7.39%, 13.61%, 24.72%, 31.43% and 22.84% respectively.

Key words: The Mt. Qomolangma Nature Reserve, marsh wetland, spectral angle mapper, distance decay, potential degradation risk evaluation