Vegetation Biomass Estimation Based on CBERS Data: A Case Study of the Submerged Area of Angu Reservoir

Abstract

The estimation and distribution of the vegetation biomass in submerged area of Angu Reservoir， Sichuan Province, based on CBERS data acquired in 2006 was researched. In order to select the optimum image characteristic data, correlative analysis were calculated among the biomass field sampling data, CBERS band 1-band 4 data and the NDVI data. The results show that field sampling data is best relative to band 4 data, and the correlation coefficients to aquatic vegetation and terrestrial vegetation were 0.703 and 0.678 respectively. Therefore, linear regression models were established between the field sampling data and band 4 data to estimate the total biomass of the Angu Reservoir area. The modeling results shows that the biomass of aquatic vegetation and terrestrial vegetation in the area were 1.15×10 8 kg and 0.99×10 8 kg respectively. And the biomass distribution map was drawn. The study shows that there are many advantages to apply CBERS image to biomass investigation over the traditional methods.