• Journal of Korean Society of Rural Planning
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• v.24 no.3
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• pp.105-115
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• 2018

This study is conducted to propose urban park utilization and master plan in rural areas. Urban parks designed for the rural areas can be divided into three types: a themed type for rural tourism, a community type for hub regenerations and a waterfront type for using agricultural reservoirs. To use the themes and characteristics of ruralness, these types are required a multi-layered spatial structure. And ecological, cultural and economic networks of local tourism resources have to be integrated by utilizing agricultural reservoirs. Therefore, urban parks in rural areas can be defined as a part of the public benefit project aiming to revitalize the local economy. Also, urban parks are necessary to use attractions and amenities in rural areas. Based on theoretical backgrounds, this study proposed two sustainable master plans as the tourism resource development project for Baelyeonje, Gulye-gun. For ecological and cultural sustainability, this study proposed the environment restoration plan which reinforces the scenic resource of Nogodan in Mt. Jiri by developing the underdevelopment plan with consideration of the local landscape characteristics and resources. For economic sustainability, building the Mt. Jiri tourism complex and economic communities are needed to promote investments for securing mutual economic benefits. To achieve the sustainability, further studies related to the social equity and investment of private capital in rural areas are needed.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.2
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• pp.133-139
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• 2011

Estimation of biomass carbon stock is an important research for estimation of public benefit of forest. Previous studies about biomass carbon stock estimation have limitations, which come from the used deterministic models. The most serious problem of deterministic models is that deterministic models do not provide any explanation about the relevant effects of errors. In this study, the effects of location errors were analyzed in order to estimation of biomass carbon stock of Danyang area using Monte Carlo simulation method. More specifically, the k-Nearest Neighbor(kNN) algorithm was used for basic estimation. In this procedure, random and systematic errors were added on the location of Sample plot, and effects on estimation error were analyzed by checking the changes of RMSE. As a result of random error simulation, mean RMSE of estimation was increased from 24.8 tonC/ha to 26 tonC/ha when 0.5~1 pixel location errors were added. However, mean RMSE was converged after the location errors were added 0.8 pixel, because of characteristic of study site. In case of the systematic error simulation, any significant trends of RMSE were not detected in the test data.