Retrieval of tropical forest biomass information from ALOS PALSAR data |
| |
| Authors: | M Mahmudur Rahman Josaphat Tetuko Sri Sumantyo |
| |
| Institution: | 1. Microwave Remote Sensing Laboratory, Centre for Environmental Remote Sensing, Chiba University , 1-33, Yayoi, Inage, Chiba , 263-8522 , Japan mahmud@sparrso.gov.bd;3. Microwave Remote Sensing Laboratory, Centre for Environmental Remote Sensing, Chiba University , 1-33, Yayoi, Inage, Chiba , 263-8522 , Japan |
| |
| Abstract: | Advanced Land Observing Satellite Phased Array L-band Synthetic Aperture Radar (ALOS PALSAR) data from different observation modes were analysed to determine (1) which observation mode most accurately retrieves tropical forest biomass information and (2) whether different modes, when considered together, yield improved results in comparison to identical data-sets analysed independently. We performed regression analysis to estimate above-ground forest biomass using PALSAR backscatter data for natural and planted forests in south-eastern Bangladesh. The coefficient of determination (r 2) was lower or equal to 0.499 (n = 70) when PALSAR data from different observation modes were separately considered, but increased sharply when one class (rubber) is dropped and average backscatter of fine beam single (FBS) and polrimetric (PLR) modes are used in the analysis. The results presented in this article are useful for both regional and global forest biomass inventories and fixing acquisition modes for planned L-band SAR missions. |
| |
| Keywords: | PALSAR backscatter biomass regression |
|
|
