小麦生物量和真实叶面积指数的高光谱遥感估算模型  

The Hyperspectral Remote Sensing Estimation Models of Total Biomass and True LAI of Wheat

作　　者：侯学会[1,2] 牛铮[1] 黄妮[1] 许时光[1] 

机构地区：[1]中国科学院遥感与数字地球研究院遥感科学国家重点实验室数字地球重点实验室,北京100094 [2]中国科学院研究生院,北京100049

出　　处：《国土资源遥感》2012年第4期30-35,共6页Remote Sensing for Land & Resources

基　　金：国家重点基础研究发展规划项目(编号:2013CB733405;2010CB950603)

摘　　要：利用大田小麦的参数数据和冠层光谱数据,基于光谱一阶微分技术和光谱响应函数,构建等效MODIS植被指数,建立小麦生物量(本文指总干生物量,下同)和真实叶面积指数的高光谱遥感估算模型。结果表明:①小麦生物量与冠层光谱在552 nm,721 nm处呈现最显著相关关系,叶面积指数与冠层光谱的相关性在400～1 100 nm范围内较显著;②红边位置与生物量的关系最为显著,相关系数R为0.818;③6种等效MODIS植被指数中,增强型植被指数对生物量最为敏感;④红边位置估算小麦总生物量的指数模型最优,决定系数R2为0.829;⑤增强型植被指数与小麦叶面积指数的指数模型拟合度最强,决定系数R2为0.94。利用实测光谱模拟MODIS等效反射率构建植被指数反演小麦参数的方法,可为利用卫星数据进行大面积、无破坏和及时获取地面植被信息研究提供重要手段。Based on the spectral first order differential techniques and equivalent MODIS vegetation index according to spectral response function using the field sampling survey,this paper built the hyperspectral remote sensing estimation models for total biomass and LAI of wheat named Jingdong 12.The research shows that： ①the largest correlation between total dry biomass and canopy spectra lies at 552 nm and 721 nm,and the relationship between LAI and canopy spectral is significant in the band range of 400～1 100 nm;②the relationship between red edge position（REP） and wheat biomass is most significant,with R being 0.818;③in the 6 vegetation indices similarly to MODIS-VI,EVI is most sensitive to total dry biomass;④the linear model using REP estimation biomass is the best,with R2 being 0.669 4.Exponential model between LAI and EVI has the strongest fitting degree,with R2 being 0.94.Using field spectral data and band response function to retrieve wheat parameters can provide important research methods for making use of satellite remote sensing data characterized by large area,non-destruction and acquisition of timely ground vegetation information.

关 键 词：小麦 生物量 真实叶面积指数 高光谱遥感 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]