利用遥感样地和高分遥感影像,通过判读解译获取林分类型和森林地类,依据样地到总体的概率估计方法,估计区域总体各林分类型和地类面积,并用德国NFI(National Forest Inventory)数据检验估计误差。在德国布设334个1km×1km遥感样地,获取高分遥感数据进行判读和抽样估计。结果表明:德国陆地面积估计误差为2.43%;森林面积估计误差为0.59%;森林覆盖率估计误差为2.96%;并获得省级森林资源详细数据。综上易知该方法切实可行,估计结果可靠、因子丰富,实现了境外森林资源的主动监测,为境外森林资源监测开辟了新途径。

In this paper RS sample plots and high resolution images are used to interpret them for the types of stands and forest land uses,and then employ the probability estimation approach to extend the scale of results from plot to population.In the end,the Germany NFI(National Forest Inventory)statistical results are utilized to test the predicted results.With the method,the paper sets 334 RS plots with the scale of 1km×1km in Germany,afterwards,it also obtains high resolution images to be interpreted and make a sampling prediction.The results show that for Germany,the relative error of land area is 2.43%;that of forest area 0.59%;that of forest coverage ratio 2.96%.In addition,the detailed information of provincial forest resources is also obtained.In summary of the aforementioned results,it is safe to say that the approach is feasible and practical,the result reliable,and factors sufficient.Besides,it also realizes the active monitoring of overseas forest resources and provides a new approach for it.