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基于NDVI-气候变量特征空间的植被退化评价

Assessing Vegetation Degradation Based on NDVI-climate Variables Feature Space

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【作者】 孙建国艾廷华王沛赵传燕

【Author】 SUN Jianguo1,2 AI Tinghua2 WANG Pei1 ZHAO Chuanyan3(1 School of Mathematics and Physics & Software Engineering,Lanzhou Jiaotong University,88 West Anning Road,Lanzhou 730070,China)(2 School of Resources and Environment Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China)(3 The Cold and Arid Regions Environmental and Engineering Research Institute,CAS,260 West Donggang Road,Lanzhou 730000,China)

【机构】 兰州交通大学数理与软件工程学院武汉大学资源与环境科学学院中国科学院寒区旱区环境与工程研究所 兰州市安宁西路88号730070武汉市珞喻路129号430079武汉市珞喻路129号430079兰州市安宁西路88号730070兰州市东岗西路260号730000

【摘要】 提出了一种适用于半干旱半湿润地区的植被退化评价方法。在排除灌溉区域的基础上,利用NDVI-气候变量特征空间,获得潜在NDVI的函数表达,对比实际NDVI和潜在NDVI进行植被退化程度评价。黄土高原地区的实验结果表明,该区植被退化程度具有显著的空间差异,整体上看,陇中、陇东及宁夏南部的退化最为严重;NDVI的饱和现象使对偏湿润地区的评价产生一定的偏差。

【Abstract】 This paper presented a method to evaluate vegetation degradation in semi-arid and semihumid region.Based on eliminating irrigation land,we estimated the potential vegetation index by imitating the upper borderline of scatter plots in NDVI-climate variables feature space and appraised the vegetation degradation through comparing actual vegetation index with potential vegetation index.The degree of vegetation degradation takes on prominent spatial difference.On the whole,the degree of vegetation degradation is the most severe in the middle and the east of Gansu Province and the south of Ningxia autonomous region.NDVI tend to saturation where climate is more humider and so the evaluating result has some uncertainty.

【基金】 国家自然科学基金资助项目(40671067)
  • 【文献出处】 武汉大学学报(信息科学版) ,Geomatics and Information Science of Wuhan University , 编辑部邮箱 ,2008年06期
  • 【分类号】X171
  • 【被引频次】16
  • 【下载频次】505
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