【摘要】 为了快速有效获取《综合开发利用项目》项目区的森林蓄积量,利用SPOT5和Rapid Eye高分辨率遥感影像,结合野外实地调查数据,采用最小二乘回归方法构建森林蓄积量遥感估测模型,估算柬埔寨王国上丁省特许地2012年的森林蓄积量。结果表明:1利用预留独立样本对模型进行精度验证,不分类型的模型的总体预测精度可达到99.37%,分类型的模型的总体预测精度分别可达到99.57%、97.30%、99.41%、96.84%、76.25%;2不分类型建模反演得到2012年研究区的森林总蓄积量为33197465.008 m3,各类型的森林蓄积量分别为16660360.382、7124988.801、5716238.005、4016470.930、186695.185 m3。结果表明利用高分辨率遥感影像快速估测区域森林蓄积量的可行性,也为合理规划和开发利用特许地的森林资源提供参考。更多还原

【Abstract】 In order to acquire the forest volume in the Kingdom of Cambodia quickly and efficiently,Based on the field data and SPOT5 images and Rapid Eye images,the generalized least squares( GLS) regression model was generated and the predicting map of forest volume in the Kingdom of Cambodia was constructed. Furthermore,the study area was classified into five categories according to the land use type,forest canopy and forest quality,and the forest volume of all five categories were conducted separately. The results showed that the estimation precision of the total forest volume was 99. 37%,while that of the five categories were 99. 57%,97. 30%,99. 41%,96. 84% and 76. 25%,respectively; the total forest volume of the Kingdom of Cambodia was 33197465. 008 m3,while that of the five categories were 16660360. 382,7124988. 801,5716238. 005,4016470. 930 and 186695. 185 m3,respectively. The study has verified an effective way to estimate the forest volume of the Kingdom of Cambodia using high resolution RS images,and it provide a reliable basis for planning and exploitation the forest resources in study area.更多还原