Abstract:
Based on ALOS PALSAR Lband dualpolarization FBD microwave remote sensing data and multispectral optical remote sensing data AVNIR2, preprocessing was conducted, then three microwave data factors including HH and HV dualpolarization backscattering coefficients and polarization ratio, and four original bands and two vegetation indices of NDVI, RVI which combined with optical remote sensing data were extracted with the coordinates of Pinus yunnanensis forest sample plots. After that, the three estimation models of Pinus yunnanensis forest biomass were built by using microwave data, optical data, and the multisource remote sensing data combined with microwave and optical data. Research suggests that and the models reached the significant or extremely significant correlation level by variance analysis. PALSAR Lband dualpolarization backscattering coefficient could be reflected the changes of forest biomass, but inversion accuracy needs to be improved. AVNIR2 data model was better than PALSAR Lband dualpolarization data model. The estimation accuracy of multisource data model was similar to optical data model.