基于时间序列的三江源区生物量遥感检测模型研究

以三江源区为研究区,利用2006~2009年每年8月份的野外采样数据并结合同期的EOS/MODIS数据建立了草地总生物量、可食产草粮与归一化植被指数（Normolized Differential Vegetation Index,NDVI）、修改的土壤调整植被指数（Modified Soil Adjusting VegetationIndex,MSAVI）、增强型植被指数（Enhanced Vegetation Index,EVI）之间的3种（线性、乘幂和指数）关系模型,并进行了比较。研究结果表明：3种模型能够对草地总生物量、可食产草粮进行较好的估算;3种植被指数对草地总生物量、可食产草粮均具有较高的相关性,可用于对草地总生物量、可食产草粮的估测;3种植被指数对草地总生物量的估算好于可食产草量。

Study on Models for Grassland Biomass Estimation in Three-River Source Region Assisted by Remote Sensing Based on Time-Series Data

Based on the field measurement data on August from 2006 to 2009 in Three-River Source Region and the corresponding MODIS remotely sensed data from the EOS/MODIS Receiving Station,three regression models(linear,power and exponential functions)between the total grassland biomass,the edible grassland biomass and the vegetation indices such as Normalized Differential Vegetation Index(NDVI),Modified Soil Adjusted Vegetation Index(MSAVI),Enhanced Vegetation Index(EVI)are established and compared.Research results were as follows:the total grassland biomass and edible grassland biomass could be well estimated by linear,power and exponential functions;there were significant positive correlation between the total grassland biomass,edible grassland biomass and the three vegetation indices,they were suitable for the successful quantification of total grassland biomass and edible grassland biomass;the estimation of total grassland biomass was more effective than that of edible grassland biomass.