Abstract
Abstract. Forests provide many goods, Ecosystem services, and resources to humans such as recreation air purification and water protection functions. In rececnt years, there has been an increase in the factors that threaten the health of forests such as global warming due to climate change, environmental pollution, and the increase in interest in forests, and efforts are being made in various countries for forest management. Thus, existing forest ecosystem survey method is a monitoring method of sampling points, and it is difficult to utilize forests for forest management because Korea is surveying only a small part of the forest area occupying 63.7 % of the country (Ministry of Land Infrastructure and Transport Korea, 2016). Therefore, in order to manage large forests, a method of interpolating and spatializing data is needed. In this study, The 1st Korea Forest Health Management biodiversity Shannon;s index data (National Institute of Forests Science, 2015) were used for spatial interpolation. Two widely used methods of interpolation, Kriging method and IDW(Inverse Distance Weighted) method were used to interpolate the biodiversity index. Vegetation indices SAVI, NDVI, LAI and SR were used. As a result, Kriging method was the most accurate method.
Highlights
Forests provide human beings with many goods, services, and resources, such as recreation, atmospheric purification, and water conservation
In the case of nominal data among The 1st Korea Forest Health Management, it was judged that it was difficult to spatialize, and the biodiversity index determined to be most suitable for spatialization among continuous data was selected
Since the empirical variogram is calculated from the observed data, and the theoretical variogram is used to estimate the variogram of the unobserved point, finding the theoretical variogram is very important in the kriging method
Summary
Forests provide human beings with many goods, services, and resources, such as recreation, atmospheric purification, and water conservation. Seven criteria for evaluating the performance of management were presented In this reason, countries around the world are actively working on the establishment of a forest health survey index using the criteria for conservation of biodiversity and the third standard for maintaining health and vitality of forest ecosystems(2015, National Institute of Forest Science, 2015). The New Hampshire Natural Resources Association assessed health by dividing 763 acres into ten natural populations In this way, existing forest ecosystem survey methods are sampling points of sampling points, and they are surveying a very small part of the forest area occupying 63.7% of Korea's national territory (as of 2016). In the case of nominal data among The 1st Korea Forest Health Management, it was judged that it was difficult to spatialize, and the biodiversity index determined to be most suitable for spatialization among continuous data was selected. The spatialization method used in this study uses IDW and kriging methods, which are typical spatialization methods using GIS (Geographic Information System), and Cokriging method using various vegetation indices extracted using Landsat image with relatively high resolution and DEM(Digital Elevation Model) were used to evaluate the accuracy
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