• Title/Summary/Keyword: 지형지물 분류체계

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A Study on Data Dictionary of Small Scale Digital Map (소축척 수치지도 자료사전에 관한 연구)

  • 조우석;이하준
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.21 no.3
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    • pp.215-228
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    • 2003
  • National Geography Institute(NGI, National mapping agency) has been producing national basemap in automated process since middle of 1980's toward the systematic and efficient management of national land. In 1995, Korean government initiated a full-scale implementation of the National Geographic Information System(NGIS) Development Plan. Under the NGIS Development Plan, NGI began to produce digital maps in the scales of 1:1,000, 1:5,000, 1:25,000. However, digital maps of 1:250,000 scale, which are currently used for national land planning, were not included in NCIS Development Plan. Also, the existing laws and specifications related to digital maps of 1:250,000 scale are not clearly defined. It is fully appreciated that data dictionary will be a key element for users and generators of digital maps to rectify the existing problems in digital maps as well as to maximize the application of digital maps. There(ore this study proposed a feature classification system, which defines features that should be represented in digital map of 1:250,000 scale, and data dictionary as well.

A Study on Feature Classification and Data Dictionary of Digital Map (수치지도 지형지물 분류체계 개선 및 자료사전에 관한 연구)

  • 조우석;이동구;윤영보
    • Spatial Information Research
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    • v.10 no.3
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    • pp.455-468
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    • 2002
  • Toward the systematic and efficient management of national land, National Geography Institute(NGI, National mapping agency) has been producing national basemap in automated process since middle of 1980's. Under the National Geographic Information System(NGIS) Development Plan, NGI began to produce digital maps in the scales of 1:1,000, 1:5,000, 1:25,000 since 1995. However, those of digital maps that have been generated under NGIS Development Plan need to be modified and corrected due to lack of technology and experience in making digital maps. In this context, those digital maps generated are currently in great need for improving the data dictionary. It is fully appreciated in previous research that data dictionary will be a key element far users and generators of digital maps to rectify the existing problems in digital maps as well as to maximize the application of digital maps. In this paper, we analyzed existing problems in digital maps based on previous researches and interviews with engineers in different fields of geospatial engineering. And then, the existing data dictionary has been redefined and modified. In the line of modification process, a relational matrix was established fur each topographic feature defined in the existing feature classification system. This paper presents newly proposed data dictionary which conforms to newly defined feature classification system from previous research performed by NGI.

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Development of Management System for Feature Change Information using Bid Information (입찰정보를 이용한 지형지물변화정보 관리시스템 개발)

  • Heo, Min;Lee, Yong-Wook;Bae, Kyoung-Ho;Ryu, Keun-Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.2
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    • pp.195-202
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    • 2009
  • As the generation and application of spatial information is gradually expanded not only in traditional surveying fields but also a CNS and an ITS recently. The Accuracy and the newest of data grow to be an important element. But digital map is updated with system based tile. So, it is hard to get the newest of data and to be satisfied with user requirements. In this study, management system is developed to manage feature change efficiently using bid informations from NaraJangter which service the bid informations. A construction works with change possibility of feature from bid informations are classified and are made DB. And the DB is used as the feature change forecast informations. Also, It is converted from bid information of text form to positioning informations connected to spatial information data. If this system is made successfully, this system contributes to reduce the cost for the update of digital map and to take the newest date of spatial informations.

A Study on the Category of Factors for the Landslide Risk Assessment: Focused on Feature Classification of the Digital Map(Ver 2.0) (산사태 위험도 항목 분류에 관한 연구 -수치지도(Ver 2.0) 지형지물 분류체계를 중심으로-)

  • Kim, Jung-Ok;Lee, Jeong-Ho;Kim, Yong-Il
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2007.04a
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    • pp.371-374
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    • 2007
  • For development of landslide risk assessment techniques using GIS(Geographic Information System), this study classifies the category of socioeconomic factors. The landslide quantitative risk assessment performs first prediction of flow trajectory and runout distance of debris flow over natural terrain. Based on those results, it can be analyzed the factors of socioeconomic which are directly related to the magnitude of risk due to landslide hazards. Those risk assessment results can deliver factual damage situation prediction to policy making for the landslide damage mitigation. Therefore, this study is based on feature classification of the digital map ver. 2.0 provided by the National Geographic Information Institute. The category of factors can be used as useful data in preventing landslide.

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GIS 데이터베이스를 이용한 서울시 1/5,000 수문지질도 작성방안연구

  • 김윤종;이석민;원종석
    • Spatial Information Research
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    • v.8 no.1
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    • pp.101-116
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    • 2000
  • Seoul Metropolitan Government(SMG) as well as the other local governments should have a role in managing groundwater according to the Groundwater Law. As a guidance of the management and control of groundwater use, this study emphasizes the necessity of the construction of 1 ; 5,000 hydrogeological maps and proposes possble usages of the maps. As expected to be a part of the groundwater GIS database constructed by SMG, the maps can be used as base maps to facilitate the whole processes related to the groundwater development and preservation. For the purpose of the construction of the 1 ; 5,000 hydrogelogical GIS database, we develop the classification system of the hydro-geological entities and their attributes.

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A Study on Feature Classification System of Small Scale Digital Map (소축척 수치지도 지형지물 분류체계에 관한 연구)

  • 조우석;박수영;정한용
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.04a
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    • pp.357-364
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    • 2003
  • National Geography Institute(NGI, National mapping agency) has been producing national basemap in automated process since middle of 1980's toward the systematic and efficient management of national land. In 1995, Korean government initiated a full-scale implementation of the National Geographic Information System(NGIS) Development Plan. Under the NGIS Development Plan, NGI began to produce digital maps in the scales of 1:1,000, 1:5,000, 1:25,000. However, digital maps of 1:250,000 or less scale, which are currently used for national land planning, were not included in NGIS Development Plan. Also, the existing laws and specifications related to digital maps of 1:250,000 or less scale are not clearly defined. Therefore this study proposed a feature classification system, which defines features that should be represented in digital map of 1:250,000 or less scale.

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Development of Change Detection System for Forests Type Using Satellite Image (위성영상을 이용한 산림형태 변화추적시스템 구축)

  • Lee Jong-Chool;Kang In-Joon;Seo Dong-Ju;Kim Sung-Ho
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2006.05a
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    • pp.132-137
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    • 2006
  • 국토가 좁은 반면 산지가 많은 우리나라에서는 국가지리정보체계 관리 또는 산림자원의 개발과 보전에 대한 중요성이 매우 크다. 따라서 최근에는 산림지역을 대상으로 한 인공위성 영상의 활용 연구가 소개되고 있다. 위성영상은 지구자원의 탐사와 환경감시를 비롯하여 지형정보의 수집 및 분석 등 다양한 분야에서 높은 활용도를 보이고 있으며, 특히 직접 접근이 불가능하거나 까다로운 지역의 지형지물에 대한 다양한 정보의 취득이 가능하다는 장점을 지니고 있다. 광범위한 지역의 주기적인 정보획득이 가능한 인공위성 영상은 환경탐사분야에서 새로운 대안으로 받아들여지고 있으며, 산림분석에도 활용될 수 있다. 따라서, 본 연구에서는 식생분류에 유리한 다중분광센서를 가진 Landsat TM 위성영상을 이용하여 산림형태의 변화를 분석하였으며, 이를 주기적으로 모니터링 할 수 있도록 Web 상에 구축하였다. 이를 통하여 누구나 쉽게 넓은 대상지역 산림형태의 주기적 변화를 모니터링 할 수 있으며, 또한 현장조사 자료의 보완에도 효율적으로 사용될 수 있으리라 판단된다.

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Soil Classification by Soil Taxonomy and Soil Properties of Korea (Soil Taxonomy 토양분류체계와 우리나라의 토양특성)

  • Hyun, Byung-Keun;Jung, Sug-Jae;Sonn, Yeon-Kyu;Rim, Sang-Kyu;Song, Kwan-Cheol
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.84-88
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    • 2007
  • 우리나라의 토양조사는 미농무성(USDA)의 분류방법에 따라 개략토양조사($'65{\sim}'67$년), 정밀토양조사($'68{\sim}'79$년), 논토양배양사업 10개년계획($'80{\sim}'90$년), 그리고 밭토양세부정밀토양조사($'95{\sim}'99$년) 등을 실시하였다. 현지에서의 토양조사는 지형, 배수등급, 토성, 자갈함량, 유효토심, 경사 등 현지의 지형지물 및 환경을 통하여 많은 정보를 얻을 수 있으며, 이를 통하여 전국에 대한 토양조사 결과, 토양통 (심토의 특성이 유사한 토양) 390개, 토양구(표토의 토성을 세분) 536개, 토양상(경사도 및 침식등급을 세분) 1,321개로 분류되어 있다. 우리나라 토양형성 발달에 미친 기후인자는 습윤권역(Udic moisture regime)과 토양온도는 mesic과 일부 남해안과 제주지역의 thermic인 토양온도(Soil moisture regime)였으며, 식생인자는 높은 지역의 경우에는 산림이 낮은 저지대 평탄지는 자연초지가 대부분이다. 지형인자는 동고서저지형으로 동부는 산악지, 서부는 경사가 완만한 구릉지며, 한강 등 대부분이 서남방향으로 흐르는 지형이다. 모재는 다양하나 70%이상이 화강암, 화강편마암이 주를 이루고 있었다. 시간인자의 경우에는 기간이 매우 오래되었으나, 지형이 복잡하여 토양발달이 약한 Inceptisol과 층위발달이 없는 Entisol이 대부분이며, 다음으로 Ultisol과 Alfisol이 뒤를 이었다. 일부 Andisol, Mollisol, Histosol이 존재하였다. 우리나라의 토양분류는 Soil Taxonomy에 의해 분류되었는데, 이것은 토양의 단면내에 존재하는 감식층위(Diagnostic Horizon)의 유무 및 종류에 따른 분류이다. 토양분류 결과 최고 상위분류 단위인 목(order)이 7개, 아목(suborder) 14개, 대군(great group) 27개, 아군(sub group) 67개, 속(family) 161개로 분류되었으며, 가장 저차단위인 통(series)이 390개 분류되었다. 또한 작물이용측면에서 실용적 분류를 실시하였는데, 논토양의 경우 보통논, 미숙논, 사질논, 습논, 염해논, 특이산성논으로 분류할 경우 각각의 분포면적이 31.9%, 23.0%, 31.9%, 9.1%, 3.9%, 0.2%이었다. 밭토양의 경우에도 보통밭, 사질밭, 미숙밭, 중점밭, 고원밭, 화산회밭으로 6개 유형으로 분류할 경우 각각의 분포면적은 41.9%, 23.3%, 17.5%, 13.9%, 1.1. 2.2% 이었다. 도시화 및 도로확대 등 다양한 토지이용 및 지형개변으로 과거의 토양정보가 많이 변경되었다. 그래서, 앞으로는 인공위성자료 및 항공사진을 이용하여 빠르고 쉽게 활용할 수 있는 토양조사 방법개발과 기 구축된 토양도의 수정, 보완 작업이 필요한 절실히 요구되고 있는 현실이다.

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A Study On the Image Based Traffic Information Extraction Algorithm (영상기반 교통정보 추출 알고리즘에 관한 연구)

  • 하동문;이종민;김용득
    • Journal of Korean Society of Transportation
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    • v.19 no.6
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    • pp.161-170
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    • 2001
  • Vehicle detection is the basic of traffic monitoring. Video based systems have several apparent advantages compared with other kinds of systems. However, In video based systems, shadows make troubles for vehicle detection. especially active shadows resulted from moving vehicles. In this paper a new method that combines background subtraction and edge detection is proposed for vehicle detection and shadow rejection. The method is effective and the correct rate of vehicle detection is higher than 98(%) in experiments, during which the passive shadows resulted from roadside buildings grew considerably. Based on the proposed vehicle detection method, vehicle tracking, counting, classification and speed estimation are achieved so that traffic information concerning traffic flow is obtained to describe the load of each lane.

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A Study on the Improvement of Sub-divided Land Cover Map Classification System - Based on the Land Cover Map by Ministry of Environment - (세분류 토지피복지도 분류체계 개선방안 연구 - 환경부 토지피복지도를 중심으로 -)

  • Oh, Kwan-Young;Lee, Moung-Jin;No, Woo-Young
    • Korean Journal of Remote Sensing
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    • v.32 no.2
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    • pp.105-118
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    • 2016
  • The purpose of this study is to improve the classification system of sub-divided land cover map among the land cover maps provided by the Ministry of Environment. To accomplish the purpose, first, the overseas country land cover map classification items were examined in priority. Second, the area ratio of each item established by applying the previous sub-divided classification system was analyzed. Third, the survey on the improvement of classification system targeting the users (experts and general public) who actually used the sub-divided land cover map was carried out. Fourth, a new classification system which improved the previous system by reclassifying 41 classification items into 33 items was finally established. Fifth, the established land cover classification items were applied on study area, and the land cover classification result according to the improvement method was compared with the previous classification system. Ilsan area in Goyang city where there are diverse geographic features with various land surface characteristics such as the urbanization area and agricultural land were distributed evenly were selected as the study area. The basic images used in this study were 0.25 m aerial ortho-photographs captured by the National Geographic Information Institute (NGII), and digital topographic map, detailed stock map plan, land registration map and administrative area map were used as the relevant reference data. As a result of applying the improved classification system into the study area, the area of culture-sports, leisure facilities was $1.84km^2$ which was approximately more than twice larger in comparison to the previous classification system. Other areas such as transportation and communication system and educational administration facilities were not classified. The result of this study has meaningful significance that it reflects the efficiency for the establishment and renewal of sub-divided land cover map in the future and actual users' needs.