Estimation of Forest Growing Stock Based on TerraSAR-X and ALOS PALSAR Data： a Case Study in Mengla County of Yunnan Province

X-band TerraSAR-X data of December 3rd of 2014 and L-band ALOS PALSAR data of October 19th of 2008 were applied for estimation of forest growing stock in Mengla county, Yunnan province by stepwise regression, taking tree species as dummy variable. Result showed that L-band ALOS PALSAR forest growing stock model had determination coefficient R2 of 0.843, accuracy of 68.8%, RMSE 38.8 m3/ha, better than X-band TerraSAR-X. It concluded that L-band ALOS PALSAR data had better estimation effect on forest growing stock.