基于高光谱遥感监测植被叶绿素含量的一种植被指数MTCARI  

MTCARI:A Kind of Vegetation Index Monitoring Vegetation Leaf Chlorophyll Content Based on Hyperspectral Remote Sensing

作　　者：孟庆野[1] 董恒[1] 秦其明[1] 王金梁[1] 赵江华[1] 

机构地区：[1]北京大学遥感与GIS研究所,北京100871

出　　处：《光谱学与光谱分析》2012年第8期2218-2222,共5页Spectroscopy and Spectral Analysis

基　　金：国家科技支撑计划课题(2012BAH29B03;2012BAC16B04);国家自然科学基金项目(41071221;41101312);公益性行业(气象)专项(GYHY200806022)资助

摘　　要：通过对现有的植被指数模型的研究,指出了TCARI模型的不足,进而提出关于模型的改进。利用PROSPECT+SAIL模型模拟出不同叶绿素含量和不同叶面积指数(LAI)下的作物冠层光谱,代入模型演算相关常数因子,得到了改进的转换型叶绿素吸收反射率指数MTCARI,最后通过引入土壤背景调节指数OSAVI,提出了最终的模型。经过实测数据验证,模型有较好的可靠性。The chlorophyll content of plant has relative correlation with photosynthetic capacity and growth levels of plant. It affects the plant canopy spectra, so the authors can use hyperspectral remote sensing to monitor chlorophyll content. By analy-zing existing mature vegetation index model, the present research pointed out that the TCARI model has deficiencies, and then tried to improve the model. Then using the PROSPECT＋SAIL model to simulate the canopy spectral under different levels of chlorophyll content and leaf area index （LAI）, the related constant factor has been calculated. The research finally got modified transformed chlorophyll absorption ratio index （MTCARI）. And then this research used optimized soil background adjust index （OSAVI） to improve the model. Using the measured data for test and verification, the model has good reliability.

关 键 词：叶绿素含量监测 植被指数 TCARI 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]