基于高光谱遥感的湿地植被LAI信息反演研究——以洪河湿地自然保护区为例
Wetland Vegetation LAI Estimation based on Hyperspectral Remote Sensing in Honghe Natural Reserve
本文选取洪河湿地自然保护区为研究区，以野外实测湿地植被叶面积指数（LAI）数据和光谱数据作为数据源，分析了高光谱遥感提取的各因子（光谱反射率、"三边参数"和植被指数等）与实测LAI之间的相关关系，建立了相关系数大的各遥感因子与研究区内植被LAI间的线性和非线性回归模型，并运用交叉验证法进行了精度验证。
aking the Honghe Natural Reserve as study area, using ground spectral data and obtained LAI through field measuring, this paper analyzed the correlation between the hyperspectral remote sensing factors and measured LAI. The linear and curve models are established with the remote factors and measured LAI based on the analysis. Finally, the regression equations were tested by cross validation method.
张冬冬、孙永华、李明超、黄锦
环境科学理论环境科学技术现状环境生物学植物学
LAI高光谱遥感光谱参量植被指数估算模型
leaf area index(LAI)hyperspectral remote sensingspectral variablesvegetation indexestimation model
张冬冬,孙永华,李明超,黄锦.基于高光谱遥感的湿地植被LAI信息反演研究——以洪河湿地自然保护区为例[EB/OL].(2016-05-26)[2025-08-04].http://www.paper.edu.cn/releasepaper/content/201605-1273.点此复制
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