利用高光谱对生物变量进行估计

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[1]张良培,郑兰芬,童庆禧.利用高光谱对生物变量进行估计[J].遥感学报,1997(02):111-114.

Zhang Liangpei. The Estimation of Vegetation Variables Based on High Resolution Spectra[J]. Journal of Remote Sensing, 1997,(2):111-114.
[1]张良培,郑兰芬,童庆禧.利用高光谱对生物变量进行估计[J].遥感学报,1997(02):111-114. DOI： 10.11834/jrs.19970206.

Zhang Liangpei. The Estimation of Vegetation Variables Based on High Resolution Spectra[J]. Journal of Remote Sensing, 1997,(2):111-114. DOI： 10.11834/jrs.19970206.

该文分析了非光合背景物质—土壤光谱信号的特点

认为利用对光谱信号进行一阶导数的运算就能对混合光谱中的土壤光谱信号进行压缩

由此而得到的生物指数如LAI、SApar等的估计值更能客观地反映实际

这对于利用成象光谱进行环境应用有很大的实用价值。

The authors have analyzed the quality of nonphotosynthetic background-soil spectra

found that the first derivative calculation of mixed spectrum could compress the signal of soil spectra in a large extent

Due to this reason the estimation of vegetation variables such as LAI

S Apar seems to well correspond to the real results It is very useful for us to apply imaging spectrometer to monitoring environment

生物变量高光谱成象光谱

Vegetation variablesHigh resolution spectraImaging spectrometer

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