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Obtaining Locally Reliable Information for GIS-based Forest Management

机译:获取基于GIS的森林管理的本地可靠信息

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Geographic information systems (GIS) are often sold to forest managers by demonstrating that one can point to a location on a map and obtain the wood volume (or tree height, etc.) for that location. But the information with which a GIS responds to such a query is based on a forest inventory planned and executed over a large area whose target precision is global and not local. Thus the forest information provided by the GIS is not actually locally reliable, and the precision of a response to a spatial query is dependent primarily on the variability of the forest type queried. Three experiments are described which were conducted in an attempt to obtain locally reliable forest information. The first conducted spatial interpolation for forest volume between sample plots of various sizes and located at various spacings. The second attempted to establish links between the basal area information collected at the sample plot locations and ancillary ecophysiographic information obtained from existing maps and also derived using Geomatic techniques. The third treated high resolution digital imagery of a forest to identify individual tree stems algorithmically. It appears that the third method is the most promising although much more work remains to be done to refine this method and render it operational.
机译:地理信息系统(GIS)通常通过证明一个人可以指向地图上的某个位置并获取该位置的木材体积(或树高等)而出售给森林管理者。但是,GIS响应此类查询所依据的信息是基于在目标精度是全局而非局部的大面积区域上计划和执行的森林清单。因此,由GIS提供的森林信息实际上并不是本地可靠的,对空间查询的响应精度主要取决于所查询森林类型的可变性。描述了三个实验,试图获得当地可靠的森林信息。第一次是对各种规模和距离的样地之间的森林体积进行了空间插值。第二种尝试建立在样地位置收集的基础面积信息与从现有地图获得并也使用Geomatic技术获得的辅助生态生理信息之间的联系。第三次处理算法是对森林的高分辨率数字图像进行识别,以识别单个树木的茎。似乎第三种方法是最有前途的,尽管还需要做更多的工作来完善这种方法并使之可操作。

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