• Spatial Information Research
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• v.23 no.3
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• pp.35-44
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• 2015

Recently, the government aims to discover and provide services to citizens on the development strategy for activating the U-City. So, this study aims to offer a service discovery direction by analyzing the service issues and trends. The target is newspaper article about U-City Service from 2009 to 2014. Prepared 723 newspaper article for analysis. Next step is frequency analysis of keyword and used that result for Network analysis and measure of information. Network analysis can show result through "Degree Centrality", "Betweenness Centrality" and "Closeness Centrality". As a result, "Information", "IT", "Environment", "Technology", "Center" is higher than another. These 5 keywords are important factors for driving the U-City the past six years. Information measurement results, Already U-City were put an emphasis on building the infrastructure and able to identify a trend that provided the center of the public service. Those Service field are "Tour(2009)", "Crime prevention and Disaster Prevention(2010)", "Facility Management(2011)", "administration(2012)" and "Facility Management(2013, 2014)". Result of this study found implications what on citizen participation. So, services field on the existing infrastructure should be discovered and provided. Finally, this study can expected to be a reference in the local government planning for U-City.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.25 no.5
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• pp.1-13
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• 2022

The damages caused by landslides are increasing worldwide due to climate change. In Korea, damages from landslides occur frequently, making it necessary to develop the effective response strategies. In particular, there is a lack of countermeasures against landslides in cultural heritage areas. The purpose of this study was to spatially analyze the relationship between Buyeo-gun's cultural heritage and landslide susceptible areas in Buyeo-gun, Chungcheongnam-do, which has a long history. Nine spatial distribution models were used to evaluate the landslide susceptibility, and the ensemble method was applied to reduce the uncertainty of individual model. There were 17 cultural heritages belonging to the landslide susceptible area. As a result of calculating the area ratio of the landslide susceptible area for cultural heritages, the cultural heritages with 100% of the area included in the landslide susceptible area were "Standing statue of Maae in Hongsan Sangcheon-ri" and "Statue of King Seonjo." More than 35% of "Jeungsanseong", "Garimseong", and "Standing stone statue of Maitreya Bodhisattva in Daejosa Temple" belonged to landslide susceptible areas. In order to effectively prevent landslide damage, the application of landslide prevention measures should be prioritized according to the proportion belonging to the landslide susceptible area. Since it is very difficult to restore cultural properties once destroyed, preventive measures are required before landslide damage occurs. The approach and results of this study provide basic data and guidelines for disaster response plans to prevent landslides in Buyeo-gun.

• Journal of Korean Society of Rural Planning
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• v.20 no.1
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• pp.1-12
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• 2014

Living environments in rural area have become deteriorated rapidly. Increase of aging population, decline in agricultural income, polarization of wealth in rural community due to rural returners have caused severe decline and imbalance of living environments in rural area. Responding to this circumstances, governments currently develop projects for improving living environments focusing on individual housing which were excluded from governmental supports because those had been regarded as private property. Nevertheless, there are still some gaps and problems in evaluating the quality of living environment and suggesting effective solutions. It would be because standards and guidelines of the projects have been based on urban housing system. In order to support the implementation of the projects, this research has developed an index for evaluating and monitoring the quality of living environments in rural area. By applying Delphi method, the index has been created in four categories of 'security', 'convenience', 'comfortability', and 'durability' 'Security' consists of structural safety, crime, disaster, accident prevention. 'Convenience' includes three divisions of living, traffic, farm working. 'Comfortability' is divided into sanitation, indoor environments, and aesthetic appreciation. Lastly, 'durability' has four divisions of energy conservation, environmental friendliness, efficiency, and economics. Each sub-division also has different items from three to twelves. In the case of an index for performance evaluation, items have been derived from energy conservation(6-items), and environmental friendliness(7-items). Items developed as an index for evaluating rural living environments in this research might be good background information for remodeling project in rural housing development.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.560-571
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• 2020

Essential urban services that protect citizens' lives and property such as firefighting, disaster and crime prevention, should be provided equally to all citizens regardless of their location, personal status, and income. This paper analyzes the equality of firefighting services in spatial and social perspective in Daejeon Metropolitan City. For this the accessibility of fire service was analyzed for all settlements in the city. In addition, the distribution status of low-income class and forecasted income each region were compared to analyze whether the area where fire fighting service in 5 minutes was related to the distribution of income class. According to the analysis, the area where fire service can be provided within 5 minutes was 46.2% of Daejeon, and 98.0% of the population lived in this area. The proportion of old-age pensioners living in the area where fire service can't be provided within 5 minutes was 52.7%, reise than the average of 7.14% in Daejeon. In addition, in areas where the provision of firefighting services exceeds five minutes, the forecasted income tends to be lower in areas where service arrival is delayed. Therefore, it can be said that the economically vulnerable people living in the outskirts of Daejeon are not provided with equal urban services, and policy consideration is required accordingly.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.112-112
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• 2011

오늘날 우리 사회의 생활과 문화의 질이 향상됨에 따라 공공 및 개인의 안전과 건강에 대한 관심이 증대되고 있다. 특히, 재난과 비상사태는 생명에 대한 희생뿐만 아니라 훨씬 더 심각한 경제적인 결과를 초래한다. 이러한 응급사태에 개비하여 적절히 준비되지 않았거나 재난의 예방 및 완화시킬 방법을 가지고 있지 못한다면 도시의 발전적인 프로젝트는 예고 없이 도시를 강타하는 재난 및 비상사태에 의해 무산되고 만다. 이러한 여건 하에 재난과 응급사고를 효율적으로 대처하는 응급처치와 서비스에 대한 급격한 관심과 함께 일정한 결정적 대응시간 내에 각종사고와 재해로부터 방어할 수 있는 공공서비스에 대한 필요성이 크게 증가되었다. 본 연구에서는 신고, 응급구조, 환자이송 등 도시의 병원 전 단계 의료환경에 대해서 조사하였다. 본 연구의 목적은 반응시간과 출동거리를 분석함으로써, 응급사고에 즉시 응급구조서비스를 제공하기 위해 안전센터(119센터)의 최적 입지를 확인하는 것이다. 이를 위해서 사고발생, 반응시간, 출동거리 등을 응급의료 활동과 관련된 연구논문, 대상지 전역의 소방기록물과 출동일지 등의 통계자료를 활용하여 신속한 응급의료 서비스를 위한 패턴을 분석 하였다. 또한 응급구조대의 조직과 활동의 분석을 통해 응급의료시설의 최적 입지설정을 위한 제도적 개선대안을 마련해 보았다. 대상지 연구를 위해, 구조활동 및 소방서비스의 최근 통계자료의 조사를 통해 진주시의 모든 119센터의 입지와 응급의료서비스 및 사고발생 현황을 나타내었다. 자료 분석을 위해서 SPSS14.0을 사용하였으며, 지역의 특성 분포, 안전센터별 대응시간, 이송시간 등을 소방 GPS시스템과 입지할당모형 중 Center Point Model(CPM)을 적용하였다. 결과적으로 본 연구를 통해 대상지역의 119안전센터의 서비스 질이 나쁜 지역을 지리학적인 관점에서 최적 입지/배분 패턴의 설정을 통해 확인할 수 있었으며, 이를 통해 미래 응급의료서비스의 효율적인 입지/배분을 통해 공공 및 개인의 안전과 건강에 기여할 수 있을 것으로 기대된다.

• Korean Journal of Remote Sensing
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• v.39 no.4
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• pp.425-440
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• 2023

Monitoring water surface has become one of the most prominent areas of research in addressing environmental challenges.Accurate and automated detection of watersurface in remote sensing imagesis crucial for disaster prevention, urban planning, and water resource management, particularly for a country where water plays a vital role in human life. However, achieving precise detection poses challenges. Previous studies have explored different approaches,such as analyzing water indexes, like normalized difference water index (NDWI) derived from satellite imagery's visible or infrared bands and using k-means clustering analysis to identify land cover patterns and segment regions based on similar attributes. Nonetheless, challenges persist, notably distinguishing between waterspectralsignatures and cloud shadow or terrain shadow. In thisstudy, our objective is to enhance the precision of water surface detection by constructing a comprehensive water database (DB) using existing digital and land cover maps. This database serves as an initial assumption for automated water index analysis. We utilized 1:5,000 and 1:25,000 digital maps of Korea to extract water surface, specifically rivers, lakes, and reservoirs. Additionally, the 1:50,000 and 1:5,000 land cover maps of Korea aided in the extraction process. Our research demonstrates the effectiveness of utilizing a water DB product as our first approach for efficient water surface extraction from satellite images, complemented by our second and third approachesinvolving NDWI analysis and k-means analysis. The image segmentation and binary mask methods were employed for image analysis during the water extraction process. To evaluate the accuracy of our approach, we conducted two assessments using reference and ground truth data that we made during this research. Visual interpretation involved comparing our results with the global surface water (GSW) mask 60 m resolution, revealing significant improvements in quality and resolution. Additionally, accuracy assessment measures, including an overall accuracy of 90% and kappa values exceeding 0.8, further support the efficacy of our methodology. In conclusion, thisstudy'sresults demonstrate enhanced extraction quality and resolution. Through comprehensive assessment, our approach proves effective in achieving high accuracy in delineating watersurfaces from satellite images.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.3
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• pp.95-106
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• 2003

This study evaluated the architectural density of urban district using airborne laser scanning(ALS) that is a method used in urban planning, water resources and disaster prevention with high interest recently. First, digital elevation model(DEM) and digital surface model(DSM) was constructed from Light detection and ranging(LiDAR). For getting the height of building, ZONALMEAN filter was used in DEM and ZONALMAJORITY filter was used in DSM. This study compared the floor from filtering with the floor from survey and got standard error, which is ${\pm}0.199$ floor. Also, through the overlay and statistical analysis of total-area layer and zone layer, we could present floor area ratio by zone. As a result of comparison with floor area ratio between airborne laser scanning data and survey data, the standard error of floor area ratio shows ${\pm}2.68%$. Therefore, we expect that airborne laser scanning data can be a very efficient source to decision makers who set up landuse plan in near future.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.555-562
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• 2021

Recently, in the field of geospatial information construction, unmanned aerial vehicles have been increasingly used because they enable rapid data acquisition and utilization. In this study, photogrammetry was performed using fixed-wing, rotary-wing, and VTOL (Vertical Take-Off and Landing) unmanned aerial vehicles, and geospatial information was constructed using two types of unmanned aerial vehicle LiDAR (Light Detection And Ranging) sensors. In addition, the accuracy was evaluated to present the utility of spatial information constructed through unmanned aerial photogrammetry and LiDAR. As a result of the accuracy evaluation, the orthographic image constructed through unmanned aerial photogrammetry showed accuracy within 2 cm. Considering that the GSD (Ground Sample Distance) of the constructed orthographic image is about 2 cm, the accuracy of the unmanned aerial photogrammetry results is judged to be within the GSD. The spatial information constructed through the unmanned aerial vehicle LiDAR showed accuracy within 6 cm in the height direction, and data on the ground was obtained in the vegetation area. DEM (Digital Elevation Model) using LiDAR data will be able to be used in various ways, such as construction work, urban planning, disaster prevention, and topographic analysis.