Study on above-ground biomass estimation of East Dong Ting lake wetland based on Worldview-2 data

This paper discusses the relationship between vegetation index and the above-ground biomass(AGB) of wetland and gets the AGB distribution in the study area, based on the Worldview-2 data and filed sampling data, establishing the East Dong Ting lake as the study area. The results shows that, multiple linear regression model (MLRM) test is significant (hitting a level of 0.000), while the model correlation coefficient is 0.9567, fitting accuracy reaches 34.5g/m². The MLRM prediction results has an error of 56.4 g/m²,the determine coefficient is 0.9011, estimation of AGB total to 27.3418 t/hm² in study area, with the actual biomass has a difference of 1.8206t/hm², the relative error is 7%, and the total of 12440.5294t in study area. This research proved method of the MLRM has a better precision and forecasting ability by comparing that of LAI-AGB and SCRM (single curve regression model)-AGB. It has a widely application value to the wetland research.