Study on the Above Ground Vegetation Biomass Estimation Model Based on GF-1 WFV Satellite Image in the Yellow River Estuary Wetland

Six kinds of vegetation indices,including NDVI,DVI,SRI,SAVI,MSAVI and GBNDVI were calculated from GF-1 WFV satellite image of the Yellow River estuary,These indices were regressed with the wetland aboveground herbaceous vegetation dry biomass data derevied from in situ sampling. The linear,exponential,logarithmic and power functions were adopted for the regression analysis respectively. The best biomass estimation models wer determined:( 1)The best biomass estimation models based on NDVI and GBNDVI were exponential regression model,and the models based on other vegetation indices were power regression model( P 0. 001);( 2) The determination coefficients for all of the best regression models' were higher than 0. 7,and the highest one was 0. 77. The sequence of them was MSAVI SAVI NDVI DVI SRI GBNDVI.( 3) The MRE of the best regression models based on these vegetation indices were less than 54%,and the minimum was 23. 9%. The sequence of them was NDVI GBNDVI SRI DVI = SAVI MSAVI.