Estimation model of aboveground biomass in the Northern Tibet Plateau based on remote sensing date

作者：Zhou Yu-ting, Fu Gang, Zhenxi Shen, Xianzhou Zhang, Jianshuang Wu, Yunlong Li, Yang Pengwan · 发表于：Acta Pratacultural Science · 年份：2013 · 被引用次数：7 · 研究领域：Remote Sensing and Land Use、Environmental and Agricultural Sciences、Environmental Changes in China

Normalized difference vegetation indices(NDVI),enhanced vegetation indices(EVI) and land surface water indices(LSWI) were calculated based on MYD09A1 during 2010-2011 to estimate the aboveground biomass(ANPP) in the Northern Tibet Plateau using regression analysis.Air temperature,air moisture,soil temperature and soil moisture were compared in 2010 and 2011 when there was a great difference in aboveground biomass during the two years.Correlation analysis between aboveground biomass and vegetation indices showed that single factor regression model would be sufficient to reflect the relationship between aboveground biomass and vegetation indices.Regression analysis showed that both NDVI and EVI could be used to estimate aboveground biomass,however LSWI performed relatively poor.The simple linear regression model best reflected the relationship between vegetation indices and aboveground biomass while the power fitting was not quite as good as linear regression.The relationships between NDVI,EVI and aboveground biomass can be expressed by the linear regression equation: ANPP=115.478 NDVI(R2=0.956,P0.001) and ANPP=174.225 EVI(R2=0.975,P0.001).Results of verification showed that the power model had a better estimating capability than the linear model.When the power model was used to estimate ANPP,the relative error was 9.76% compared with 10.8% for the linear model.This difference demonstrated that the power model may be more robust in estimating the ANPP.