• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.23 no.2
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• pp.177-187
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• 2005

The Land Use Suitability Assessment System was recently introduced by the Act on Planning and Utilization of the National Territory to use, manage, and develop the national territory, which integrated the National Land Use and Management Act and the Urban Planning Act. It provides a guideline for land use according to locational characteristics, usability, and developmental conditions of land in the vicinity. The database is constructed with LMIS cadastral data, posted land price data, and the data of related agencies such as the Korea Forest Service, the Ministry of Environment, and the Korea Water Resources Corporation etc. In this paper we describe accurate database construction method fur land use suitability assessment system as classifying and verifying errors deriving from database construction focused on Jinju city. Those data errors have the problems such as accuracy difference among the related agencies data, gap of data acquisition time, and non-consideration of latest updated data etc.

• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.1
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• pp.20-26
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• 2002

The forest fire occurrences and burned area are increasing every year since 1990 in Korea, of which 65% is covered by forest. This study attempts to analyze topographic characteristics of forest fire burned area using GIS, and we also applied the statistical analysis based on the fire characteristics such as weather, forest as fuels and topography in small and large forest fire burned areas. The result of the statistical analysis shows that the size of forest fire was related to the slope length, slope degree, wind speed, forest type, and forest continuity.

• Korean Journal of Heritage: History & Science
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• v.55 no.3
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• pp.60-72
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• 2022

A number of wooden built heritage remain in Korea, and most have been damaged by various biological factors including termite. Owing to the irreversible damage caused by termites, wooden built heritage are losing their authenticity and structural stability. In this study, Area-Wide Integrated Termite Management(AW-ITM) was proposed to prevent termite damage. First, to understand the locational characteristics of these sites, the distance from adjacent forests and surrounding forest areas was analyzed for 182 national designated wooden built heritage(national treasures, treasures) using the Geographic Information System(GIS). By analyzing existing pest control projects(2003-2020) and the components of the ITM, the characteristics of termite control for cultural heritages were determined. Based on these results, the cultural heritage sites and their surrounding spaces were divided into three areas, and the types of cultural properties were divided into six types according to the location and number of buildings. Along with this, termite control measures were proposed for each area and type. The concept of AW-ITM has been partially applied to the "Comprehensive Control of Termites in wooden built heritages Sites" by the Cultural Heritage Administration. Caution must be taken with regard to the establishment of a cultural heritage management policy; AW-ITM should be applied on a trial basis with the results then being carefully analyzed and reflected in the establishment of policies pertaining to the conservation management of cultural heritage.

• 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.

• The Journal of Engineering Geology
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• v.30 no.4
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• pp.663-671
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• 2020

Recently, there have been many natural disasters in Korea, not only in forest areas but also in urban areas, and the national requirements for them are increasing. In particular, there is no pre-disaster information system that can systematically manage the collapse of the slope of the national highway. In this study, big data analysis was conducted on the factors causing slope collapse based on the detailed investigation report on the slope collapse of national roads in Gangwon-do and Gyeongsang-do areas managed by the Cut Slope Management System (CSMS) and the basic survey of slope failures. Based on the analysis results, a slope collapse risk prediction model was established through Adaboost, a classification-based machine learning model, reflecting the collapse slope location and weather information. It also developed a visualization map for the risk of slope collapse, which is a visualization program, to show that it can be used for preemptive disaster prevention measures by identifying the risk of slope due to changes in weather conditions.

• 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.

• Korean Journal of Agricultural and Forest Meteorology
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• v.8 no.1
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• pp.36-44
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• 2006

In this study, we constructed a forest fire danger map in the Yeongdong area of Gangwon-do and Northeastern area of Gyeongsangbuk-do using a forest fire rating model and geographical information system (GIS). We investigated the appropriate positions of the automatic weather station (AWS) and a comprehensive network solution (a system including measurement, communication and data processing) for the establishment of an optimum mountain meteorological observation network system (MMONS). Also, we suggested a possible plan for combining the MMONS with unmanned monitoring camera systems and wireless relay towers operated by local governments and the Korea Forest Service for prevention of forest fire.

• Korean Journal of Remote Sensing
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• v.22 no.6
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• pp.543-551
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• 2006

Recently efforts to extract information about forests by using remote sensing techniques for efficient forest management have progressed actively. In terms of extraction of tree information using single remote sensing data, however, the accuracy of tree recognition and the quantity of extracted information is limited. The objective of this study is to carry out tree modeling in domestic environment applying the latest core technique for tree modeling using color aerial photographs and LiDAR data and to estimate the result of tree modeling. A small-scale coniferous forest was investigated in Daejeon. It was 0.77 that the $R^2$ of accuracy test of tree numbers that estimated with color aerial photography and LiDAR data. In terms of tree height, there was no difference between the estimated value and the field measurements in the case of the group accuracy test of the recently unchanged area. Moreover $R^2$ was 0.83 in the case of the individual accuracy test.

• Journal of Korean Society for Geospatial Information Science
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• v.12 no.4 s.31
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• pp.21-26
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• 2004

Annually repeated flood damage is bringing about the rapid increasement of the loss of human lives and properly, and the enormous social cost for the restoration work is required. The annual amount of flood damage caused by the abnormal climate is reached about 1% of GDP, so more effective management of the flood control operation is needed to prevent the repetitive flood occurred same region. Also, the systematic planning and management or river improvement works are keenly required for the more effective execution of government working budget that expense to recover or to prevent the flood damage. The several organizations of government - Ministry of Construction & Transportation, Ministry of Government Administration and Home Affair, Ministry of Agriculture and Forestry, Ministry of Environment, Ministry of Science & Technology, Korea Meteorological Adminstration and so on - are promoting the flood prevention operations, but those promotion system makes it difficult to maintain the consistency of works. In this study, we try to develop the Web-GIS system prototype that will be able to effectively manage the nationwide river improvement works and to establish a framework that will be able to maintain the consistency of river improvement works. To achieve the study goals, we analysed current system of flood prevention operations, gathered related documents, had interviews with many government employees, and developed the Web-GIS system prototype.

• Journal of Korean Society of Forest Science
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• v.103 no.3
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• pp.431-438
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• 2014

This study was conducted to assess forest biomass resource which is a carbon sink and a renewable resource in Korea. The total forest biomass resource potential was 804 million tons, and conifers, broadleaved forest and mixed forest accounted for 265 million tons, 282 million tons, and 257 million tons, respectively. Proportionately to regional forest stocks, biomass potential of Gangwon-do had most biomass potential, followed by Gyeongsangbuk-do and Gyeongsangnam-do. The woody biomass from the byproduct of sawn timber in commercial harvesting was 707 thousand ton/year, and that from the byproduct of forest tending was 592 thousand ton/year. The amount resulted in about 1,300 thousand ton/year of potential supplies from forest biomass resource into the energy market. It's tonnage of oil equivalent(toe) was 585 thousand ton/year. In this study, we developed a program (BiomassMap V2.0) for forest biomass resource mapping. Used system to develop this program was Microsoft Office Excel, Microsoft Office Access ArcGIS and Microsoft Visual Basic 6.0. Additionally, This program made use of tool such as ESRI MapObjects2.1 in order to take advantage of spatial information. This program shows the map of total biomass stock, annual biomass growth at forest land in Korea, and biomass production from forest tending and commercial harvesting. The information can also be managed by the program. The biomass resource map can be identified by regional and forest type for the purpose of utilization. So, we expect the map and program to be very useful for forest managers in the near future.