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利用高光谱对生物变量进行估计
1.武汉测绘科技大学,武汉430074;2.中科院遥感应用研究所,北京100101
摘要:
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 Estimation of Vegetation Variables Based on High Resolution Spectra
Abstract:
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 asLAI、SApar seems to well correspond to the real results It is very useful for us to apply imaging spectrometer to monitoring environment.
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