• Spatial Information Research
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• v.15 no.2
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• pp.135-146
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• 2007

The purpose of this study was to ascertain and analyze environmental factors of subgenus Lycoctonum in Korea for conservation and management of rare high land plant species by GIS. We derived the habitat model of Lycoctonum from GPS coordination, habitat factors and digital topology maps. Suitable altitude fur the subgenus Lycoctonum is from 470m to 1320m, and northern slopes(between 15.5 and 36 degrees) are ideal for the Lycoctonum populations. In addition to altitude, slope and aspect, deciduous forest and approximation to water source were found as important factor. Using GIS and the Lycoctonum habitat model, we overlaid elevation, aspect, slope and land cover layers and analyzed buffer from the water source on two topology maps, Yang-Soo and Mock-Dong. After making prediction map for Lycoctonum habitat, we verified the existence of Lycoctonum populations on the predicted sites through field survey. Through this research, we're convinced that GIS software is powerful tool for plants conservation, such as finding unknown habitat or selecting alternative habitat.

• Economic and Environmental Geology
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• v.34 no.4
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• pp.385-394
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• 2001

There are serious damage of people and properties every year due to landslides that are occurred by heavy rain. Because these phenomena repeat and the heavy rain is not an atmospheric anomaly, the counter plan becomes necessary. The study area, Ulsan, is one of the seven metropolitan, and largest cities of Korea and has many large facilities such as petrochemical complex and factories of automobile and shipbuilding. So it is necessary assess the landslide hazard potential. In the study. the three steps of landslide hazard assessment techniques such as susceptibility, possibility, and risk were performed to the study area using GIS. For the analyses, the topographic, geologic, soil, forest, meteorological, and population and facility spatial database were constructed. Landslide susceptibility representing how susceptible to a given area was assessed by overlay of the slope, aspect, curvature of topography from the topographic DB, type, material, drainage and effective thickness of soil from the soil DB, lype age, diameter and density from forest DB and land use. Then landslide possibility representing how possible to landslide was assessed by overlay of the susceptibility and rainfall frequency map, Finally, landslide risk representing how dangerous to people and facility was assessed by overlay of the possibil. ity and the population and facility density maps The assessment results can be used to urban and land use plan for landslide hazard prevention.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.490-492
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• 2004

식물의 생육지에 대한 정보는 여러 연구 분야에서 유용하게 사용될 수 있다. 특히, 생육지의 정보 중 서식지의 위치에 대한 정보는 식물의 특성을 분석하고, 분포나 통계에 널리 이용되기도 한다. 본 연구에서는, 식물의 서식지 정보에 대해 GIS 기법을 이용하여 식물별로 지도상에 표시하고 분포를 확인할 수 있는 생태 정보 시스템을 개발하였다. 남한지역의 수생식물을 대상으로 GIS 좌표정보를 바탕으로 시스템을 구축하였으며, 채집정보가 입력되면 좌표값을 바탕으로 지도상에 자동으로 표시하였다. 근접지역의 채집정보가 누적이 되면 화면상에 중첩되어 표시되는 문제를 해결하기 위해. '동전쌓기방식'이라는 새로운 알고리즘을 개발하여 사용하였다. 또한, 지역에 대한 상세한 브라우징을 위해 확대/축소 및 위치 이동을 통해 생태 정보를 자세히 볼 수 있는 기능을 가지고 있다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.139-144
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• 2003

수종, 영급, 밀도 등과 같은 산림의 특성을 나타내는 임상구분은 주로 항공사진 육안판독을 통하여 이루어져 왔다. 최근 항공사진과 유사한 공간해상도를 갖춘 고해상도 위성영상이 제공되면서 이를 이용한 임상구분의 가능성에 대한 관심이 높아지고 있다. 본 연구에서는 울산 인근 산림지역의 1m 공간해상도의 IKONOS 입체쌍 영상을 이용하여 임상 판독의 가능성을 분석하였다. IKONOS영상은 기존의 수치임상도와의 중첩을 위하여 수치고도자료(DEM)를 이용한 정사보정을 수행하였으며, 분광밴드의 조합을 통한 칼라영상을 이용하여 육안판독을 시도하였다. 육안판독결과 IKONOS 칼라합성영상에서 천연 소나무림과 활엽수림의 육안구분이 흑백항공사진에 비해 뚜렷하게 나타나는 것을 볼 수 있었으며, 임분의 밀도가 영상에서 나타나는 질감과 패턴의 차이로 구분이 가능하였다. 또한 기존의 임상도를 중첩하여 최근 산지개발, 산불 등으로 훼손된 지점에 대한 구분이 용이하기 때문에 기존의 수치임상도를 화연상에서 직접 갱신함으로써 최근의 산림현황정보의 유지를 하는데 적합한 것으로 나타났다.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.2
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• pp.86-102
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• 2012

For predictive flooded area susceptibility mapping, this study applied and verified probability model and the frequency ratio using a geographic information system (GIS) and frequency raio. Flooded areas were identified in the study area of field surveys, For predictive flooded area susceptibility mapping, this study applied and verified probability model and the frequency ratio using a geographic information system (GIS) and frequency raio. Flooded areas were identified in the study area of field surveys, and maps of the topography, geology, landcover and green infrastructure were constructed for a spatial database. The factors that influence flooded areas occurrence, such as slope gradient, slope, aspect and curvature of topography and distance from darinage, were calculated from the topographic database. Lithology and distance from fault were extracted and calculated from the geology database. The frequency ratio coefficient is overlaid for flooded areas susceptibility mapping as each factor's ratings. Then the flooded areas susceptibility map was verified and compared using the existing flooded areas. As the verification results, the frequency ratio model showed 82% in prediction accuracy. The method can be used to reduce hazards associated with flooded areas and to plan land use.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.5
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• pp.510-519
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• 2002

The OpenGIS Consortium has proposed a new web-mapping technology to support interoperability in web GIS environment by developing the specifications of MapServer and GML. In this environment, the MapServer transforms legacy spatial data into GML data, and clients display them on standard web browsers. This web-mapping testbed proposes methods for discovering, accessing, integrating and displaying GIS information except processing of spatial operations which are essential services in GIS environment. This paper proposes the method for executing spatial operations on GML data which are overlays of different map layers in legacy data servers. To support spatial operations on GML data in web GIS environment, this paper designs and implements GDOM based on the W3C's DOM Specifications and OGC's Simple Features Specifications. This paper shows the specifications and implementation of GDOM and the process of spatial operations in web-mapping testbed environment.

• Korean Journal of Remote Sensing
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• v.36 no.2_1
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• pp.217-229
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• 2020

Recently, weather changes in Korea have intensified due to global warming, and the five major natural disasters that occur mostly include heavy rains, typhoons, storms, heavy snow, and earthquakes. Busan is vulnerable to snow disaster, given that the amount of natural disaster damage in Busan accounts for more than 50% of the total amount in the entire metropolitan cities in Korea, and that the Busan area includes many hilly mountains. In this study, we attempted to identify vulnerable areas for snowfall disasters in Busan areas using the geographic information system (GIS) with the data for both geographical and anthropogenic characteristics. We produced the maps of vulnerable areas for evaluating factors that include altitude, slope, land cover, road networks, and demographics, and overlapped those maps to rank the vulnerability to snowfall disasters as the 5th levels finally. To weight each evaluating factor, we used an entropy method. The riskiest areas are characterized by being located in mountainous areas with roads, including Sansung-ro in Geumjeong-gu, Mandeok tunnel in Buk-gu, Hwangnyeongsan-ro in Suyeong-gu, and others, where road restrictions were actually enforced due to snowfall events in the past. This method is simple and easy to be updated, and thus we think this methodology can be adapted to identify vulnerable areas for other environmental disasters.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.327-332
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• 2006

본 연구의 목적은 GIS 공간분석을 이용하여 음영에 따른 노면결빙예상구간을 정량적으로 평가하는데 있다 산악지역의 도로는 절토 및 터널구간이 많아서 겨울철에는 결빙구간이 발생될 우려가 있으며, 이는 교통 안전사고를 크게 야기시킬 수 있다. 따라서 도로의 기본설계에서부터 각 구간에서의 일조 환경 및 노면결빙예상구간을 정량적으로 정확하게 예측할 수 있는 분석이 필요하다. 본 연구에서는 동해고속도로 중 약 29km구간에 대하여 3차원 모델링, 일조 시뮬레이션, 지오데이터베이스 구축, GIS 중첩 기능에 의한 공간분석을 통해 노면결빙 예상구간을 추출할 수 있었다. 연구결과, GIS를 이용할 경우 기상조건 별로 도로의 일조영향에 따른 노면결빙 예상구간을 정량적으로 추출할 수 있었으며, 연구대상지역 중 상당한 구간이 결빙의 위험에 노출되어 있음을 알 수 있었다. 또한 GIS를 이용한 렌더링 기법이 기존의 음영기복 방법보다 정확하며, 3차원 상에서 그림자의 변화를 시각적으로 판단할 수 있음을 알 수 있었다. 향후 본 논문이 도로관련 법제도상의 노면결빙구간에 대한 규정을 제정하는데 크게 이바지할 수 있을 것으로 생각되며, 도로 설치 구조물의 배치 및 도로포장의 종류 등을 고려한 추가적인 음영구간추출 연구가 필요하다고 판단된다.

• The Journal of Engineering Geology
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• v.21 no.4
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• pp.393-402
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• 2011

Asbestos is a toxic material that can lead to lung cancer and other diseases. There is no information regarding areas in Korea that contain asbestos in nature; consequently we need to manage such areas with care. The purpose of this study was to construct a local graded map of asbestos exposure risk based on the natural occurrence of asbestos in rocks. We first developed a means of evaluating the asbestos exposure risk and produced thematic maps based on a field survey. In addition, we constructed a knowledge base for asbestos through analysis, representation and processes about asbestos data and prepare for the development of an evaluation model for asbestos exposure risk. The spatial analysis of asbestos exposure risk is based on a weighted-overlay analysis using expert opinion and the literature, and a fuzzy-overlay analysis using the uncertainty in the data. The map of asbestos exposure risk, compiled according to the weighted and fuzzy operations, is expected to be used to ensure safety and to reduce the risk of exposure to asbestos.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.4
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• pp.221-229
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• 2015

The urban crimes that threat individual's safety are parts of the serious social problems. However. the information of crime in Korea has only been provided by forms of hot spots around place of crime, or forms of crime statistics without positional information. Those could not provide enough information to users in identifying the vulnerable areas for substantive crimes. Therefore, this study suggested a methodology of extraction in criminal vulnerable areas by using the spatial information, the statistical information and the public sector information. The crime vulnerable areas were extracted through the grid-based spatial analysis and the overlapping analysis from each of the information. In fact, the extracted areas were able to provide detailed vulnerability information than the traditional hot spot-based crime information. Following the study, the extracted results in crime vulnerable areas have displayed highly coincide with Korea safety map, provided by national disaster management institute, which regards to be able to provide crime risk rating in terms of administrative business in future.