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基于植被光谱监测喀斯特异质性生境可行性研究
引用本文:岳跃民,王克林,熊鹰.基于植被光谱监测喀斯特异质性生境可行性研究[J].光谱学与光谱分析,2012,32(7):1891-1894.
作者姓名:岳跃民  王克林  熊鹰
作者单位:1. 中国科学院亚热带农业生态研究所,湖南 长沙 410125
2. 中国科学院环江喀斯特生态系统观测研究站,广西 环江 547100
3. 长沙理工大学资源环境系,湖南 长沙 410014
基金项目:中国科学院西部行动计划(三期)项目(KZCX2-XB3-10);中国科学院“西部之光”人才培养计划博士项目;国家自然科学基金项目(41071340,41001287);湖南省自然科学基金项目(10JJ5017)资助
摘    要:选取喀斯特与非喀斯特典型植被及共生植被,基于植被光谱分析和典范对应分析(CCA)探讨喀斯特植被光谱与喀斯特生境的关系。结果表明:在可见光波段范围(400~680 nm)的一阶导数光谱和短波红外波段(1 300~2 500 nm)的反射率光谱,喀斯特与非喀斯特植被光谱具有显著的差异特征;土壤水分含量和钙含量对喀斯特植被光谱特征具有较大影响,CCA二维排序图能够成功地将喀斯特植被与非喀斯特植被区分开。研究表明植被光谱特征与其生境条件密切相关,基于植被光谱特征来监测喀斯特异质性生境是可能的。

关 键 词:植被光谱  生境  典范对应分析  喀斯特  
收稿时间:2011-11-19

Feasibility of Monitoring Karst Standing Conditions with Vegetation Spectra
YUE Yue-min,WANG Ke-lin,XIONG Ying.Feasibility of Monitoring Karst Standing Conditions with Vegetation Spectra[J].Spectroscopy and Spectral Analysis,2012,32(7):1891-1894.
Authors:YUE Yue-min  WANG Ke-lin  XIONG Ying
Institution:1. Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China2. Huanjiang Experimental Station of Karst Ecosystem, Huanjiang 547100, China3. Department of Resources and Environmental Sciences, Changsha University of Science and Technology, Changsha 410014, China
Abstract:Karst regions are typically ecological fragile zones constrained by geological setting, which resulted in high heterogeneity of vegetation standing conditions. The karst vegetation was featured with stone, dry and high calcium carbonate content growth conditions. Based on vegetation spectral analysis and canonical correspondence analysis (CCA), the present study aimed to examine the feasibility of using vegetation spectra to monitor the heterogeneous karst standing conditions. The results showed that there were significant differences between karst vegetation and non-karst vegetation within the spectral range of 1 300~2 500 nm reflectance and 400~680 nm first-derivative spectra. It was found that soil moisture and calcium carbonate contents had the most significant effects on vegetation spectral features in karst regions. Ordination diagrams of CCA could distinguish the differences of karst vegetation and non-karst vegetation. Our study demonstrates that vegetation spectra are highly related to karst standing conditions and it is feasible to monitor karst standing conditions with vegetation spectral features.
Keywords:Vegetation spectra  Standing conditions  Canonical correspondence analysis  Karst  
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