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利用高光谱对生物变量进行估计
引用本文: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,1997,1(2):111-114.
作者姓名:张良培  郑兰芬  童庆禧
作者单位:武汉测绘科技大学!武汉430074(张良培),中科院遥感应用研究所!北京100101(郑兰芬,童庆禧)
基金项目:国家自然科学基金委重大基金项目资助,国家遥感中心与日本国家宇宙开发事业团合作项目
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。

关 键 词:生物变量  高光谱  成象光谱
收稿时间:1996/5/13 0:00:00
修稿时间:1996/11/5 0:00:00

The Estimation of Vegetation Variables Based on High Resolution Spectra
Zhang Liangpei,Zheng Lanfen and Tong Qingxi.The Estimation of Vegetation Variables Based on High Resolution Spectra[J].Journal of Remote Sensing,1997,1(2):111-114.
Authors:Zhang Liangpei  Zheng Lanfen and Tong Qingxi
Institution:Wuhan Technical University of Surveying and Mapping;The Institute of Remote Sensing Applications, Chiniese Academy of Sciences;The Institute of Remote Sensing Applications, Chiniese Academy of Sciences
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 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
Keywords:Vegetation variables  High resolution spectra  Imaging spectrometer  
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