Forest Biomass Inversion based on KNN-FIFS with Different Alos Data

Forest biomass plays an important role in restraining global warming and protecting ecosystem. With the development of ALOS SAR satellite and the improvement of its sensor performance, it plays a more and more important role in quantitative retrieval of forest biomass. In this paper, we used KNN-FIFS, KNN, SVR and Multiple Regression Models to invert the typical forest biomass of Genhe in Inner Mongolia and Yiliang in Yunnan based on ALOS1 PALSAR1 and ALOS2 PALSAR2. The results show that: 1) ALOS-2 PALSAR-2 has better inversion effect than ALOS-1 PALSAR-1;2) KNN-FIFS has better inversion accuracy than KNN, SVR and multiple regression function.