典型草地地上生物量遥感反演模型的建立  

Construction of Remote Sensing Inversion Models for Estimating Typical Grassland Aboveground Biomass

作　　者：张小琪[1] 盛建东[1] 武红旗[1] 谷海斌[1] 龚双凤[1] 

机构地区：[1]新疆农业大学草业与环境科学学院,新疆乌鲁木齐830052

出　　处：《农业网络信息》2013年第4期12-15,24,共5页Agriculture Network Information

基　　金：中国科学院战略性先导科技专项-应对气候变化的碳收支认证及相关问题(编号:XDA05050405)

摘　　要：利用新疆阿勒泰地区富蕴县2011年9月野外典型草地地上生物量采样数据和同期接收的环境减灾卫星(HJ1A-CCD1)的遥感图像数据,分析了归一化植被指数(NDV)I、比值植被指数(RV)I与实测草地地上生物量的一元线性和非线性回归模型,并对不同回归模型进行分析比较。研究表明:植被指数NDVI与实测草地地上生物量之间存在较好的相关性;所建遥感植被指数与草地地上生物量的回归模型中,指数回归模型(y=3.716e26.758x,R2=0.815)最适合于监测草地地上生物量的遥感反演模型,并分析了该区域地上生物量的空间差异性。Using the environmental disaster mitigation satellite(HJ1A-CCD1) data and the aboveground biomass data from grassland of Fuyun county,Xinjiang,in September 2011,in this paper the regression relationships between aboveground biomass of typical grassland and the vegetation indices(NDVI,RVI) was analyzed and linear and non-linear regression models were established.Main conclusions obtained from this study were: 1)vegetation indices and aboveground biomass showed good regression relationships for the study area;2) The exponential regression model: y=3.716e26.758x(x as NDVI or RVI)was the best model which could be used to monitor aboveground biomass of grassland in Fuyun county.The spatial distribution of biomass of different vegetations was also identified.

关 键 词：典型草地 地上生物量 回归模型 遥感反演 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]