Research on an efficient forest assessment design as planning tool for sustainable forest management in South-Korea

国家森林资源清查为决策和政策制定提供信息，以支持可持续森林资源管理。它们的成本很高，需要尽可能有效地结合不同的信息来源。在韩国，自1970年代以来就有了国家金融机构，但清单设计没有改变，还没有适应不断变化的信息需求。在这项研究中，将与韩国合作伙伴合作，补充韩国的一个研究项目，研究三个问题，总体目标是提高韩国国家金融机构的效率：(1)将卫星遥感纳入库存规划和分析(回归建模和多变量KNN方法)。(2)针对不同的森林类型优化样地设计(建立主要属性的协方差函数和时间研究)。(3)利用目标(1)和(2)的结果以及模拟研究，对总体抽样设计进行调整和优化。虽然这种评估方法的发展是针对韩国森林的具体情况而进行的，但其结果对森林资源调查研究具有普遍的意义。

National forest inventories (NFIs) provide information for decision making and policy formulation to support sustainable forest resource management. They are costly and need to be done as efficiently as possible, combining different information sources. In South-Korea, a NFI is in place since the 1970s but the inventory design is unchanged and not adapted yet to the changing information needs. In this study, in cooperation with Korean partners and complementing a Korean research project, three research questions will be worked on with the overall objective to raise the efficiency of the Korean NFI: (1) Integration of satellite remote sensing into inventory planning and analysis (regression modeling and multi-variate knn-method). (2) The field plot design will be optimized for different forest types (establishing covariance functions of principal attributes, and time-studies). (3) The overall sampling design will be adjusted and optimized, utilizing the findings of objectives (1) and (2), and simulation studies. While this development of assessment methods is being carried out for the specific condi-tions of South Korean forests, the results are of general interest in forest inventory research.