• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.94-106
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• 2022

In order to increase timber self-sufficiency, Korea's 6th Basic Forest Plan aims to increase the density of forest roads to 12.8 m ha^-1 by 2037. However, due to rapid re-forestation, current management infrastructure is insufficient, with just 4.8 m ha^-1 of forest roads in 2017. This is partly due to time and cost limitations on the process of forest road feasibility evaluation, which considers factors such as topography and forest conditions. To solve this problem, we propose an eco-friendly and efficient forest road network planning method using a geographic information system (GIS), which can evaluate a potential road site remotely based on spatial information. To facilitate such planning, this study identifies forest road construction priorities that can be evaluated using spatial information, such as topography, forest type and forest disasters. A method of predicting the optimal route to connect a forest road with existing roads is also derived. Overlapping analysis was performed using GIS-MCE (which combines GIS with multi-criteria evaluation), targeting the areas of Cheongsong-gun and Buk-gu, Pohang-si, which have a low forest-road density. Each factor affecting the suitability of a proposed new forest road site was assigned a cost, creating a cost surface that facilitates prioritization for each forest type. The forest path's optimal route was then derived using least-cost path analysis. The results of this process were 30 forestry site recommendations in Cheongsong-gun and one in Buk-gu, Pohang-si; this would increase forest road density for the managed forest sites in Cheongsong-gun from 1.58 m ha^-1 to 2.55 m ha^-1. This evaluation method can contribute to the policy of increasing timber self-sufficiency by providing clear guidelines for selecting forest road construction sites and predicting optimal connections to the existing road network.

• Journal of Korean Society of Forest Science
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• v.108 no.3
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• pp.322-328
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• 2019

The purpose of this study was to provide basic data for maintenance and repair of the forest road surfaces using the light drop weight test (LDWT), density test, and grain size analysis at four sites in Yeongyang-gun Mt. (2011y, 2014y, 2016y, and 2017y). In terms of the density test results, the opening density in 2011 was the highest at $2.0694g/cm^3$, and the opening density in 2017 was the lowest at $1.7443g/cm^3$. The grain size analysis showed that the proportion of large aggregates was highest at the opening in 2017, and the proportion of large aggregates decreased with the delay of opening date. From the LDWT results, $E_{vd}$ (the dynamic deformation coefficient) of the 2011y forest road was $35.7MN/m^2$, 2014y was $30.5MN/m^2$, 2016y was $28.6MN/m^2$, and 2017y was $23.5MN/m^2$. The $E_{vd}$ value for the oldest forests opened with the 2011y forest road was the highest, the average $E_{vd}$ value of the center portion was $21.45MN/m^2$, the average $E_{vd}$ value of the wheel portion of the banking part was $31.31MN/m^2$, and the average $E_{vd}$ value of the wheel portion of the cut part was $36.71MN/m^2$.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.4
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• pp.427-435
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• 2023

Changes in flowering time due to weather fluctuations impact plant growth and ecosystem dynamics. Accurate prediction of flowering timing is crucial for effective forest ecosystem management. This study uses a process-based model to predict flowering timing in 2023 for five major tree species in Korean forests. Models are developed based on nine years (2009-2017) of flowering data for Abeliophyllum distichum, Robinia pseudoacacia, Rhododendron schlippenbachii, Rhododendron yedoense f. poukhanense, and Sorbus commixta, distributed across 28 regions in the country, including mountains. Weather data from the Automatic Mountain Meteorology Observation System (AMOS) and the Korea Meteorological Administration (KMA) are utilized as inputs for the models. The Single Triangle Degree Days (STDD) and Growing Degree Days (GDD) models, known for their superior performance, are employed to predict flowering dates. Daily temperature readings at a 1 km spatial resolution are obtained by merging AMOS and KMA data. To improve prediction accuracy nationwide, random forest machine learning is used to generate region-specific correction coefficients. Applying these coefficients results in minimal prediction errors, particularly for Abeliophyllum distichum, Robinia pseudoacacia, and Rhododendron schlippenbachii, with root mean square errors (RMSEs) of 1.2, 0.6, and 1.2 days, respectively. Model performance is evaluated using ten random sampling tests per species, selecting the model with the highest R². The models with applied correction coefficients achieve R² values ranging from 0.07 to 0.7, except for Sorbus commixta, and exhibit a final explanatory power of 0.75-0.9. This study provides valuable insights into seasonal changes in plant phenology, aiding in identifying honey harvesting seasons affected by abnormal weather conditions, such as those of Robinia pseudoacacia. Detailed information on flowering timing for various plant species and regions enhances understanding of the climate-plant phenology relationship.

• Journal of the Korea Organic Resources Recycling Association
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• v.13 no.1
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• pp.100-114
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• 2005

Organic waste, which is defined as wastes derived from various biological organisms that contain more than 40% of organic materials, is generated about 100 million tons per year in Korea. These organic wastes are now controlled by several governmental entities, under different rules and regulations, leading to the improper management and inefficient treatment. Therefore, integrated management system is primarily needed for the efficient recycling of organic waste. In this study, six kinds of organic wastes, which are food waste, sludges(sewage, waste water, night soil), animal excreta, animals and plants residues, and three kinds of recycling by-products(compost, feed, anaerobic digestion by-products) made of organic wastes, were analyzed for their physical and chemical characteristics. On the basis of this result, a possibility for the efficient recycling of organic waste was investigated.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.400-404
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• 2008

라이다는 데이터 획득의 신속성과 처리의 자동화라는 장점을 가지고 있어서 도시 모델의 생성, 변화탐지(Change Detection), 삼림지역의 DTM(Digital Terrain Model)의 생성, 등고선 추출, 나무의 높이 결정을 통한 산림관리, 해안 지형의 관리 등 다양한 분야에서 활용이 되고 있다. 이와 같이 라이다데이터 활용에 대한 많은 연구가 이루어지면서 다양한 처리 알고리즘이 개발되고 있다. 알고리즘을 개발하고 그 성능을 정확하게 평가를 위해서는 알고리즘을 다양한 형태의 시험데이터에 적용해 보아야 하지만, 성능평가를 위해 다양한 실측 데이터를 획득하기는 어려운 실정이다. 본 연구에서는 개발된 알고리즘의 성능평가를 위한 다양한 모의데이터를 실제 DEM으로부터 시뮬레이션을 통해 생성하는 방법을 제안한다 라이다 시스템에 대한 기하학적 모델링하여 센서방정식을 유도하고, 이를 기반으로 DEM상에서 플랫폼의 이동경로에 따라 취득되는 모의 라이다데이터를 생성한다. 본 연구에서 제안하는 시뮬레이션을 이용하면 라이터데이터를 이용하는 다양한 활용 알고리즘 개발과 경제적이고 정확한 성능평가에 도움이 될 것이다.

• Journal of Korea Spatial Information System Society
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• v.8 no.3
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• pp.39-50
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• 2006

Rapid growth of the domestic economy caused a lot of the demand of land information. The land information system has to keep the records of the various data about land that includes its owner and usages. Also the system must present adequate results that have been accumulated upon a user's request. Since Korean Government enforces 'Law of National Land Usage and Management', the land in rural area was also tightly regulated as much as that in the urban area. In fact, when people wants to develop their land, then they realize that their land has many restrictions and regulations to use. Sometimes, they find many regulations and restrictions even in a parcel. Thus, many people quite often want to know all the laws, rules, regulations, and restrictions etc., whatever applicable on the land they are interested in. to use. The purpose of this paper is to show a legal service system that precisely presents all the related laws, regulations, and restrictions. for a piece of the land. It summarizes the search results on users' requests. It uses a knowledge-based expert system to figure out the users requests. In this paper, we designed the system architecture of the software, and implemented its prototype. The results on this system show more concise and user friendlier than those of the existing systems.

• The Korean Journal of Quaternary Research
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• v.13 no.1
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• pp.53-65
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• 1999

It is only possible by Physical based Water Balance Models such as $BROOK_{TOP}$ developed by me to estimate regional water balances caused by changes of regional ecosystem, which result in climate change, change of vegetation due to climate change, artificial landuse change, etc. This study estimates regional water balances of mid-north agricultural and forest regions in Germany using $BROOK_{TOP}$-Water Balance Model with climate change scenarios developed by PIK in Germany and GCM Scenarios developed by Praha University in Czech. Developing Water Resource Change Estimation System such as this study for global warming with considering climate, surface and underground conditions provides the basis of system development for surface-, groundwater-, cultivation-, ecosystem-, natural emergency-management, landuse and regional planing.

• Journal of Korean Society of Forest Science
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• v.86 no.4
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• pp.450-458
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• 1997

It is inadequate to compare operating costs between some logging machines with a low rate of utilization of them except the effect of operating time. The operating volume to maximize the utilization of the logging machines is different from each other, thus it is important to choose the proper logging machines and operating system according to the size of logging management. This study presents one of the methods to choose the economical optimum logging machines according to the operating volume to promote the economical efficiency of the machines. In order to go ahead with the Korean forestry mechanization plan, it should be considered which machine or operating system has the economical priority and if it can be suitable to the effect of wage increment.

• Journal of Korean Society of Forest Science
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• v.97 no.4
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• pp.445-451
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• 2008

This study was carried out to develop Tablet PC based customizing system for fine mapping of forest cover type. The major contents and characteristics of FIS developed in this study were as follows. Field Investigation System (FIS) has a merit of accessibility to display exact location in various spatial data with position information received from the GPS. FIS can be used to record and manage many field information on which field investigation is done, with the help of the memo tool, field-sheet tool, calculating distance and area with measuring tool as well as editing forest type. It is possible to do field investigation effectively using FIS developed in this study. Accordingly, investigation and time costs can be reduced and field-work productivity will be improved.

• Spatial Information Research
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• v.13 no.3 s.34
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• pp.195-209
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• 2005

Forest road has been an essential infrastructure for various forestry practices as well as for recreational use, disaster management, and local economics promotion. Since 1980s, extensive network of forest roads has been constructed as an national project in Korea. However, due to the minimal-budget of the project, accurate maps of forest road are not usually available. Although forest road map is a main thematic layer for the forest Geographic Information System (FGIS), its locational accuracy has not been sufficient for the practical applications and, therefore, the update of digital forest road maps is urgent. The objectives of this study is to compare ae methodology of generating and updating digital forest road maps from the aspects of the map accuracy and the efficiency of methods. Four mapping methods (GPS surveying, satellite imagery, ortho aerial photograph, and digital photogrammetry) were applied to generate the forest road maps over the study area of Mt. Oseo in Chungchungnam-do, which has a 35km forest roads distributed in national, public and private forests. The forest road Imp produced by digital photogrammetric method is the most accurate and comparable to GPS surveying although it required the greatest amount of labor time.