孙建国, 艾廷华, 王沛, 赵传燕. 基于NDVI-气候变量特征空间的植被退化评价[J]. 武汉大学学报 ( 信息科学版), 2008, 33(6): 573-576.
引用本文: 孙建国, 艾廷华, 王沛, 赵传燕. 基于NDVI-气候变量特征空间的植被退化评价[J]. 武汉大学学报 ( 信息科学版), 2008, 33(6): 573-576.
SUN Jianguo, AI Tinghua, WANG Pei, ZHAO Chuanyan. Assessing Vegetation Degradation Based on NDVI-climate Variables Feature Space[J]. Geomatics and Information Science of Wuhan University, 2008, 33(6): 573-576.
Citation: SUN Jianguo, AI Tinghua, WANG Pei, ZHAO Chuanyan. Assessing Vegetation Degradation Based on NDVI-climate Variables Feature Space[J]. Geomatics and Information Science of Wuhan University, 2008, 33(6): 573-576.

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

  • 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.

     

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