基于TerraSAR-X和ALOS PALSAR数据的森林蓄积量估测研究——以云南省勐腊县为例

摘要

基于2014年12月3日获取的X波段TerraSAR-X数据和2008年10月19日获取的L波段ALOS PALSAR数据,引入树种类型为哑变量,采用逐步回归的方法,对云南省勐腊县森林蓄积量进行估测.结果表明,与X波段TerraSAR-X数据相比,基于L波段ALOS PALSAR数据建立的森林蓄积量模型具有更高的决定系数,R2为0.843,模型估测精度为68.8%,均方根误差RMSE为38.8 m3·hm-2,最终结果证明波长较长的L波段ALOS PALSAR数据对森林蓄积量具有更好的估测效果.%X-band TerraSAR-X data of December 3rdof 2014 and L-band ALOS PALSAR data of October 19thof 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 R2of 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.