Model-assisted estimation of forest wood volume is approached exploiting the wall-to-wall information available from satellite data and partial information achieved from airborne laser scanning (ALS) covering a portion of the survey area. If the portion covered by ALS is selected by a probabilistic sampling scheme, two-phase estimators are considered in which the two sources of information are exploited by means of linear and non-linear models. If the portion covered by ALS is fixed because purposively selected, the two sources of information are exploited by the double-calibration estimator. The performance of the proposed strategies is checked by a simulation study from two study areas in Southern and Northern Italy.

利用可从卫星数据获得的墙到墙信息以及从覆盖调查区域一部分的机载激光扫描（ALS）获得的部分信息，来进行模型辅助的森林木材估计。如果通过概率抽样方案选择了ALS覆盖的部分，则将考虑两相估计器，其中通过线性和非线性模型利用两个信息源。如果由于有目的地选择了ALS覆盖的部分是固定的，则双重校准估算器将利用这两个信息源。通过对意大利南部和北部两个研究区域的模拟研究来检验所提出策略的性能。