| 石漠化遥感评价因子提取研究 |
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| 引用本文： | 岳跃民,张兵,王克林,李儒,刘波,张明阳.石漠化遥感评价因子提取研究[J].遥感学报,2011,15(4):722-736. |
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| 作者姓名： | 岳跃民 张兵 王克林 李儒 刘波 张明阳 |
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| 作者单位： | 中国科学院 亚热带农业生态研究所,亚热带农业生态过程重点实验室,湖南 长沙 410125;中国科学院 环江喀斯特生态系统观测研究站,广西 环江 547100;中国科学院 对地观测与数字地球科学中心,北京 100080;中国科学院 亚热带农业生态研究所,亚热带农业生态过程重点实验室,湖南 长沙 410125;中国科学院 环江喀斯特生态系统观测研究站,广西 环江 547100;香港中文大学 太空与地球信息科学研究所,香港;遥感科学国家重点实验室 中国科学院遥感应用研究所,北京 100101;中国科学院 亚热带农业生态研究所,亚热带农业生态过程重点实验室,湖南 长沙 410125;中国科学院 环江喀斯特生态系统观测研究站,广西 环江 547100 |
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| 基金项目： | 中国科学院西部行动计划(二期)重大项目(编号：KZCX2-XB2-08)；国家科技支撑计划(编号：2009BADC6B008)；国家自然科学基金项目(编号：41071340；编号： 41001287)；中国科学院“西部之光”人才培养计划博士资助项目 |
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| 摘 要： | 通过地面光谱试验,验证了植被指数和线性光谱分解方法提取石漠化遥感评价因子的有效性,并基于光谱吸收特征发展了石漠化综合指数(karst rocky desertification synthesis indices,KRDSI).结果表明,植被指数能够比较有效地提取绿色植被盖度,土壤背景对基于植被指数的喀斯特地区绿色植被...
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| 关 键 词： | 光谱指数 线性光谱分解 KRDSI 石漠化 |
| 收稿时间： | 2010/4/12 0:00:00 |
| 修稿时间： | 2010/9/20 0:00:00 |
Remote sensing of indicators for evaluating karst rocky desertifi cation |
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| YUE Yuemin,ZHANG Bing,WANG Kelin,LI Ru,LIU Bo and ZHANG Mingyang.Remote sensing of indicators for evaluating karst rocky desertifi cation[J].Journal of Remote Sensing,2011,15(4):722-736. |
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| Authors: | YUE Yuemin ZHANG Bing WANG Kelin LI Ru LIU Bo and ZHANG Mingyang |
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| Institution: | Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy ofSciences, Hunan Changsha 410125, China;Huanjiang Experimental Station of Karst Ecosystem, Chinese Academy of Sciences, Guangxi Huanj;Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100080, China;Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy ofSciences, Hunan Changsha 410125, China;Huanjiang Experimental Station of Karst Ecosystem, Chinese Academy of Sciences, Guangxi Huanj;Institute of Space and Earth Information Science, The Chinese University of Hong Kong, China;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academyof Sciences and Beijing Normal University, Beijing 100101, China;Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy ofSciences, Hunan Changsha 410125, China;Huanjiang Experimental Station of Karst Ecosystem, Chinese Academy of Sciences, Guangxi Huanj |
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| Abstract: | Karst rocky desertifi cation is the most serious problems of land degradation in karst regions, southwest China. Remote sensing technique is the promising method to assess and monitor the degree and extent of karst rocky desertifi cation at large scale. In this study, based on fi eld spectral refl ectance measurements, the traditional vegetation indices (VIs) and linear spectral unmixing (LSU) are assessed to extract the key indicators of karst rocky desertifi cation. Karst rocky desertifi cation synthesis index (KRDSI) has been developed with the unique of spectral features observed in non-vegetation land cover types. The results show that VIs could be used to extract the fractional cover of green vegetation, and they are not sensitive to soil background. Both VIs and LSU can effi ciently extract the fractional cover of non-green vegetation. Compared with LSU, KRDSI shows more consistent results with the fi eld measurement of non-vegetation land cover fractions. This study indicates that evaluation indicators of karst rocky desertifi cation can be extracted from the Hyperion image with the combination of vegetation indices and KRDSI values. |
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| Keywords: | spectral indices linear spectral unmixing KRDSI karst rocky desertifi cation |
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