Application of various approaches of multispectral and radar data fusion for modelling of aboveground forest biomass

A bstract Five different data fusion techniques (multiple linear regression (MLR), high-pass filtering (HPF), intensity hue saturation (IHS), wavelet transformation (WT) and the hybrid method WT + IHS) have been applied to model aboveground forest biomass (AGB) in this study. The RapidEye multispectral image PALSAR radar were used research as sources of remote sensing data. models for estimating AGB built analysed using from test area Chernihiv region (Ukrainian Polissya). Correlation min–max accuracy calculated each measure performance. Among all approaches study, has shown greatest efficiency.