• Journal of Preventive Medicine and Public Health
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• 제44권6호
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• pp.242-248
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• 2011

Objectives: Busan is reported to have the highest mortality rate among 16 provinces in Korea, as well as considerable health inequality across its districts. This study sought to examine overall and cause-specific mortality and deprivation at the town level in Busan, thereby identifying towns and causes of deaths to be targeted for improving overall health and alleviating health inequality. Methods: Standardized mortality ratios (SMRs) for all-cause and four specific leading causes of death were calculated at the town level in Busan for the years 2005 through 2008. To construct a deprivation index, principal components and factor analysis were adopted, using 10% sample data from the 2005 census. Geographic information system (GIS) mapping techniques were applied to compare spatial distributions between the deprivation index and SMRs. We fitted the Gaussian conditional autoregressive model (CAR) to estimate the relative risks of mortality by deprivation level, controlling for both the heterogeneity effect and spatial autocorrelation. Results: The SMRs of towns in Busan averaged 100.3, ranging from 70.7 to 139.8. In old inner cities and towns reclaimed for replaced households, the deprivation index and SMRs were relatively high. CAR modeling showed that gaps in SMRs for heart disease, cerebrovascular disease, and physical injury were particularly high. Conclusions: Our findings indicate that more deprived towns are likely to have higher mortality, in particular from cardiovascular disease and physical injury. To improve overall health status and address health inequality, such deprived towns should be targeted.

• 한국지리정보학회지
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• 제12권3호
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• pp.143-151
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• 2009

임상도는 산림자원이 어디에 어떻게 얼마나 분포하고 있는가를 보여주는 대표적인 산림지도로 전국 산림에 대해 임상, 영급, 경급, 소밀도 등 다양한 산림정보를 제공하여 산림정책 수립의 주요한 자료로 활용될 뿐만 아니라 토지적성평가, 생태자연도 제작 등 다양한 분야의 기초 자료로 활용되고 있다. 최초의 수치임상도는 1차 NGIS 사업을 통해 제작되었는데 당시 수치임상도제작 표준의 부재로 도엽 간 경계 및 속성 불일치 등 여러 가지 유형의 오류가 발생하였다. 또한 임상도의 제작시기, 항공사진 촬영시기, 속성 설명 등 임상도에 관한 보다 자세한 정보를 알기 어려웠다. 이러한 문제점을 해결하기 위해 본 연구에서는 수치임상도 DB 설계부터 수치화, 메타데이터 입력, 품질관리 등의 수치임상도 전 제작과정을 3단계 33개 단위 공정으로 구조화하고 이를 최적화하여 표준화한 수치임상도 표준제작체계를 개발하였다. 본 수치임상도 표준제작체계를 토대로 전국 수치임상도를 일관된 품질로 제작하고 수치임상도에 대한 보다 상세한 정보를 표준메타데이터를 통해 제공할 수 있게 되었다.

• 대한원격탐사학회지
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• 제24권6호
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• pp.613-620
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• 2008

Web 2.0 패러다임에서 사용자는 웹에 접속함으로써 개인용 컴퓨터에서 특정 어플리케이션을 실행하는 것과 같이 동일한 기능을 수행할 수 있다. 이와 같이 플랫폼으로서의 웹을 위해서는 웹 상에서 다양한 자원과 어플리케이션들 간에 서로 데이터를 교환하고 공유할 수 있는 웹 기반 자료 포맷이 필요하다. 문자형 정보에 대한 JSON은 Javascript로 직접 처리가 가능한 실용성을 강조한 포맷이므로 기존의 XML 유형 데이터는 JSON 포맷을 포함하는 태그 처리가 가능하다. 그러나 지 공간정보를 다루는 GeoJSON은 현재 개발 진행중이고 표준화 초기 단계이므로 현 단계에서의 적용성에는 제한점들이 있고 이를 다룰 수 있는 툴이나 공개 프로그램도 그리 많지 않은 상황이다 따라서 공간 웹 서비스 개발에서 웹 서비스 간의 지공간자료 전송 및 상호 교환 목적으로 GeoJSON 포맷을 적용하기 위해서는 직접 GeoJSON Parser를 구현하거나 이와 같은 기능을 부분 지원되는 서버 기반의 공개 소스를 이용하는 것이 바람직하다. 본 연구에서는 공개형 웹 매핑 API인 Google Maps API와 Openlayers 라이브러리 API를 이용한 설계 및 구현을 통하여 지공간 정보 웹 서비스에서 GeoJSON을 웹 기반 공간 정보 자료 포맷으로 활용할 수 있는 기반 연구를 수행하고 향후 확장 가능성을 검토하였다.

• 대한원격탐사학회지
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• 제26권3호
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• pp.347-359
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• 2010

Ortho-photos provide valuable spatial and spectral information for various Geographic Information System (GIS) and mapping applications. The absence of relief displacement and the uniform scale in ortho-photos enable interested users to measure distances, compute areas, derive geographic locations, and quantify changes. Differential rectification has traditionally been used for ortho-photo generation. However, differential rectification produces serious problems (in the form of ghost images) when dealing with large scale imagery over urban areas. To avoid these artifacts, true ortho-photo generation techniques have been devised to remove ghost images through visibility analysis and occlusion detection. So far, the Z-buffer method has been one of the most popular methods for true ortho-photo generation. However, it is quite sensitive to the relationship between the cell size of the Digital Surface Model (DSM) and the Ground Sampling Distance (GSD) of the imaging sensor. Another critical issue of true ortho-photo generation using high resolution satellite imagery is the scan line search. In other words, the perspective center corresponding to each ground point should be identified since we are dealing with a line camera. This paper introduces alternative methodology for true ortho-photo generation that circumvents the drawbacks of the Z-buffer technique and the existing scan line search methods. The experiments using real data are carried out while comparing the performance of the proposed and the existing methods through qualitative and quantitative evaluations and computational efficiency. The experimental analysis proved that the proposed method provided the best success ratio of the occlusion detection and had reasonable processing time compared to all other true ortho-photo generation methods tested in this paper.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.204-204
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• 2016

Thailand had set the National Water Management Strategy which covered main six areas in the next 12 years, i.e., by priority: (1) water for household, (2) water for agricultural and industrial production, (3) water for flood and drought management, (4) water for quality issue, (5) water from forest conservation and soil erosion protection, (6) water resources management. However due to the climate change impact, there is a question for all strategies is whether to complete this mission under future climate change. If the impact affects our target, we have to clarify how to mitigate or to adapt with it. Vulnerability assessment was conducted under the framework of ADB's (with the parameters of exposure, sensitivity and adaptive capacity) and the assessments were classified into groups due to their different characteristic and the framework of the National Water Management Strategy, i.e., water supply (rural and urban), water for development (agriculture and others), water disasters (floods (flash, overflow), drought, water quality). The assessments identified the parameters concerned and weight factors used for each groups via expert group discussions and by using GIS mapping technology, the vulnerability maps were produced. The maps were verified with present water situation data (floods, drought, water quality). From the analysis result of this water resources management strategy, we found that 30% of all projects face the big impacts, 40% with low impact, and 30% for no impact. It is clear that water-related agencies have to carefully take care approximately 70% of future projects to meet water resources management strategy. It is recommended that additional issues should be addressed to mitigate the impact from climate risk on water resource management of the country, i.e., water resources management under new risk based on development scenarios, relationship with area-based problems, priority definition by viewpoints of risk, vulnerability (impact and occurrence probability in past and future), water management system in emergency case and water reserve system, use of information, knowledge and technology in management, network cooperation and exchange of experiences, knowledge, technique for sustainable development with mitigation and adaptation, education and communication systems in risk, new impact, and emergency-reserve system. These issues will be described and discussed.

• 한국환경보건학회지
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• 제45권5호
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• pp.487-496
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• 2019

Objective: The purpose of this study was to create soil contamination maps using QGIS (Quantum Geographic Information System) and suggest selection methods for soil pollution sources for preferential investigation in a soil contamination survey. Method: Data from soil contamination surveys over five years in Gyeonggi-do Province, South Korea (2013-2017) were used for making soil contamination maps and analyzing the density of survey points. By analyzing points exceeding the concern level of soil contamination, soil pollutant sources for priority management were identified and selection methods for preferred survey points were suggested through a study of the model area. Results: A soil contamination survey was conducted at 1,478 points over five years, with the largest number of surveys conducted in industrial complex and factory areas. Soil contamination maps for copper, zinc, nickel, lead, arsenic, fluoride, and total petroleum hydrocarbons were made, and most of the survey points were found to be below concern level 1 for soil contamination. The density of the survey points is similar to that of densely populated areas and factory areas. The analysis results of points exceeding the criteria showed that soil pollutant sources for priority management were areas where ore and scrap metals were used and stored, traffic-related facilities areas, industrial complex and factory areas, and areas associated with waste and recycling. According to the study of the model area, the preferred survey points were traffic-related facilities with 15 years or more since their construction and factories with a score of 10 or more for soil contamination risk. Conclusion: Soil contamination surveys should use GIS for even regional distribution of survey points and for the effective selection of preferred survey points. This study may be used as guidelines to select points for a soil contamination survey.

• 한국측량학회지
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• 제37권5호
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• pp.379-388
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• 2019

Recently, a technique for acquiring spatial information data using UAV (Unmanned Aerial Vehicle) has been greatly developed. It is a very crucial issue of the GIS (Geographic Information System) mapping system that passes way point in the unmanned airframe and finally measures the accurate image and stable localization to the desired destination. Though positioning using DGPS (Differential Global Navigation System) or RTK-GPS (Real Time Kinematic-GPS) guarantee highly accurate, they are more expensive than the construction of a single positioning system using a single GPS. In the case of a low-priced single GPS system, the stability of the positioning data deteriorates. Therefore, it is necessary to supplement the uncertainty of the absolute position data of the UAV and to improve the accuracy of the current position data economically in the operating state of the UAV. The aim of this study was to present an algorithm enhancing the stability of position data in a single GPS mode of UAV with multiple GPS. First, the arrangement of multiple GPS receivers through the center of gravity of the UAV were examined. Next, MD (Mahalanobis Distance) is applied to detect instantaneous errors of GPS data in advance and eliminate outliers to increase the accuracy of previously collected multiple GPS data. Processing procedure for multiple GPS reception data by applying the center of the triangular method were presented to improve the position accuracy. Second, UAV navigation systems integrated multiple GPS through configuration of the UAV specifications were implemented. Using the unmanned airframe equipped with multiple GPS receivers, GPS data is measured with the TCM (Triangular Center Method). In addition, UAV equipped with multiple GPS were operated in study area and locational accuracy of multiple GPS of UAV with VRS (Virtual Reference Station) GNSS surveying were compared. The result showed that the error factors are compensated, and the error range are reduced, resulting in the reliability of the corrected value. In conclusion, the result in this paper is expected to realize high-precision position estimation at low cost in UAV using multiple low-cost GPS receivers.

• 지구물리
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• 제5권1호
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• pp.29-39
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• 2002

충북 초정지역에 대하여 지하수부존과 연관된 파쇄대 분포 양상을 파악하기 위해 지리정보시스템을 이용한 각종 지국물리탐사 속성자료들을 상관해석하였다. 위성영상으로부터 얻어진 선구조밀도, 수직탐사와 검층에 의한 전기비저항, 전기비저항 표준편차분석, 방사능, 탄성파 속도, 기반암의 심도 등의 속성자료들은 복합해석을 위해 ARC/INFO를 이용한 데이터베이스로 구축하였다. 특히 전기비저항 수직탐사결과는 심도별 비저항 값들을 수평적으로 내·외삽시켜 입체적으로 재건하는 기법을 적용하였다. 전기비저항 수직탐사 자료들을 이용하여 재건한 합성결과와 GIS를 이용한 각종 물리탐사자료의 복합해석결과로 연구지역의 천부 파쇄대 분포 특성을 효과적으로 파악할 수 있었고, 특히 지하수부존과 연관된 파쇄대는 연구지역의 남동부에 발달되어 있는 것으로 확인되었다.

• Forest Science and Technology
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• 제14권4호
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• pp.181-191
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• 2018

This study was carried out in the teaching and research forest of the University of Dschang in Belabo, with the aim of analysing land-cover and land-use changes as well as carbon stocks dynamic. The databases used are composed of three Landsat satellite images (5TM of 1984, 7ETM + of 2000 and 8OLI of 2016), enhanced by field missions. Satellite images were processed using ENVI and ArcGIS software. Interview, focus group discussion methods and participatory mapping were used to identify the activities carried out by the local population. An inventory design consisting of four transects was used to measure dendrometric parameters and to identify land-use types. An estimation of carbon stocks in aboveground and underground woody biomass was made using allometric models based on non-destructive method. Dynamic of land-cover showed that the average annual rate of deforestation is 0.48%. The main activities at the base of this change are agriculture, house built-up and logging. Seven types of land-use were identified; adult secondary forests (64.10%), young secondary forests (7.54%), wetlands (7.39%), fallows (3.63%), savannahs (9.59%), cocoa farms (4.28%) and mixed crop farms (3.47%). Adult secondary forests had the highest amount of carbon ($250.75\;t\;C\;ha^{-1}$). This value has decreased by more than 60% for mixed crop farms ($94.67\;t\;C\;ha^{-1}$), showing the impact of agricultural activities on both forest cover and carbon stocks. Agroforestry systems that allow conservation and introduction of woody species should be encouraged as part of a participatory management strategy of this forest.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.248-248
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• 2023

In recent years, the number of landslides in Korea has been increasing due to extreme weather events such as localized heavy rainfall and typhoons. Landslides often occur with debris flows, land subsidence, and earthquakes. They cause significant damage to life and property. 64% of Korea's land area is made up of mountains, the government wanted to predict landslides to reduce damage. In response, the Korea Forest Service has established a 'Landslide Information System' to predict the likelihood of landslides. This system selects a total of 13 landslide factors based on past landslide events. Using the LR technique (Logistic Regression) to predict the possibility of a landslide occurrence and the accuracy is known to be 0.75. However, most of the data used for learning in the current system is on landslides that occurred from 2005 to 2011, and it does not reflect recent typhoons or heavy rain. Therefore, in this study, we will apply a total of six machine learning techniques (KNN, LR, SVM, XGB, RF, GNB) to predict the occurrence of landslides based on the data of Inje, Gangwon-do, which was recently produced by the National Institute of Forest. To predict the occurrence of landslides, it is necessary to process converting landslide events and factors data into a suitable form for machine learning techniques through ArcGIS and Python. In addition, there is a large difference in the number of data between areas where landslides occurred or not. Therefore, the prediction was performed after correcting the unbalanced data using Tomek Links and Near Miss techniques. Moreover, to control unbalanced data, a model that reflects soil properties will use to remove absolute safe areas.