• Title/Summary/Keyword: Korea Land Use Information System

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High-resolution Land Cover Mapping of Rural Area Using IKONOS Imagery (IKONOS 영상을 이용한 고해상도 토지피복도 작성)

  • Hong, Seong Min;Jung, In Kyun;Kim, Seong Joon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2004.05b
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    • pp.1271-1275
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    • 2004
  • The purpose of this study is to present a standardized scheme for providing agriculture-related information at various spatial resolutions of satellite images including Landsat +ETM, KOMPSAT-1 EOC, ASTER VNIR, and IKONOS panchromatic and multi-spectral images. The satellite images were interpreted especially for identifying agricultural areas, crop types, agricultural facilities and structures. The results were compared with the land cover/land use classification system suggested by Ministry of Construction & Transportation based on NGIS (National Geographic Information System) and Ministry of Environment based on satellite remote sensing data. As a result, high-resolution agricultural land cover map from IKONOS imageries was made out. The results by IKONOS image will be provided to KOMPSAT-2 project for agricultural application.

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Proposal of Feature Classification System for Land Change Detection (국토변화탐지를 위한 지형분류체계 개선안)

  • Park, Jun-Ku;Noh, Myoung-Jong;Cho, Woo-Sug;Bang, Ki-In
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.2
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    • pp.9-17
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    • 2011
  • For the exact status of the land such as land cover classification and land use classification, feature classification system has been utilized in several organizations and agencies. However, those classification systems are limited to detection of land change and it's also not suited for the extraction of land changed. In this study, we would proposed a standard feature classification system which presents both in natural and artificial change of land effectively. Based on comparison and analysis of domestic and foreign relevant feature classification system, we proposed a standard feature classification system. In order to validate the applicability of the proposed feature classification system, we evaluated the accuracy with using automatic feature classification based on supervised classification and pre-knowledge hierarchical classification.

Land Value Analysis Using GIS in Haeundae Gu of Busan (GIS를 이용한 해운대구 토지가치 분석)

  • Choi, Chul-Uong;Son, Jung-Woo;Lee, Chang-Hun
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.2
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    • pp.3-9
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    • 2009
  • These days, the value of the limited land rises in the city according to the increase of the population and the industrial development. And various studies on estimating the land price have been accomplished for the purpose of using the land efficiently. As a result, the officially assessed land price system was arranged. However the system is insufficient to reflect realities. Therefore, in this study, we examined the spatial distribution of the land price by joining spatially the officially assessed land price of Haeundae-gu, Busan from 2004 to 2008 to the map of lot number. We also computed and compared the change rate of the land price for 5 years. And we analyzed the relation between factors including the distance from the subway station, the land use and the land category which have an effect on the officially assessed land price and it using GIS technology.

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토지피복지도 활용확산 방안

  • Kim, Eun-Hyung;Park, Jun-Gu
    • 한국공간정보시스템학회:학술대회논문집
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    • 2005.05a
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    • pp.113-124
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    • 2005
  • It is assumed that Land cover data can be a useful information to encourage environment in the spatial decision making process. This study aims to use the direction of Land Cover dataset of Ministry of Environment.

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Modeling Large Scale of Urban Nonpoint Source Pollution using a Geographic Information System (지리정보체계를 이용한 도시 비점원오염의 대축척 모형화)

  • Kim, Kye-Hyun
    • Journal of Korean Society for Geospatial Information Science
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    • v.1 no.1 s.1
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    • pp.171-180
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    • 1993
  • Concern about nonpoint source pollution associated with urban storm water has led to the development of new tools for better water quality planning. This paper presents an application of a geographic information system (GIS) for urban water quality study. The GIS was used to manage land use data for nonpoint source pollution modeling and to aggregate pollutant loadings within various types of geographic units. An empirical water quality model was used to estimate pollutant loadings based primarily on land use. A land use coverage was created by updating an old coverage through interpretation of recent photography. This land use coverage was also used to record all pollutant loadings for each land use polygon. Storm sewer maps were digitized and interpreted to create a coverage of storm sewer basins and sub-basins. By overlaying pollutant loadings with the sewer sub-basin layer, aggregated pollutant loadings for major sewer outfalls were calculated. Based on the loading information, critical areas of excessive pollutant loadings were located and the effectiveness of Best Management Practices (BMPs) to control pollutant loadings were evaluated.

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To Analysis the Laws and Information Systems for Spatial Planning Support System (도시공간계획을 지원하는 정보시스템에 관한 법제도 실태연구)

  • Choi, Bong-Moon
    • The Journal of the Korea Contents Association
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    • v.11 no.1
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    • pp.396-403
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    • 2011
  • According to the development of information and the possibility of utilizing the most effective were high hopes that a plan is in the area have. Planning process of data collection and analysis and forecasts necessary, because even before the introduction of information, logical reasoning and objectivity of the plan to increase the variety of efforts have been made at an early age. This research try to offer a foundation for the future direction of research. Firstly, land use information systems and related legal issues and sought to review the status. Second, the information system of land use and spatial planning and diagnosing the problem was related to the status of the system. This desirable to propose the development of informatization. Finally, the purpose and the information derived legal system's ability to exert maximum legal system of the maintenance and development of information systems is to propose.

A Case Study on the Emission Impact of Land Use Changes using Activity-BAsed Traveler Analyzer (ABATA) System (활동기반 통행자분석시스템(ABATA)을 이용한 토지이용변화에 따른 차량 배기가스 배출영향 사례 분석)

  • Eom, Jin Ki;Lee, Kwang-Sub
    • Journal of Cadastre & Land InformatiX
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    • v.53 no.1
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    • pp.21-36
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    • 2023
  • Activity-based modeling systems have increasingly been developed to address the limitations of widely used traditional four-step transportation demand forecasting models. Accordingly, this paper introduces the Activity-BAsed Traveler Analyzer (ABATA) system. This system consists of multiple components, including an hourly total population estimator, activity profile constructor, hourly activity population estimator, spatial activity population estimator, and origin/destination estimator. To demonstrate the proposed system, the emission impact of land use changes in the 5-1 block Sejong smart city is evaluated as a case study. The results indicate that the land use with the scenario of work facility dispersed plan produced more emissions than the scenario of work facility centralized plan due to the longer travel distance. The proposed ABATA system is expected to provide a valuable tool for simulating the impacts of future changes in population, activity schedules, and land use on activity populations and travel demands.

APPLICATION OF LOGISTIC REGRESS10N A MODEL FOR LANDSLIDE SUSCEPTIBILITY MAPPING USING GIS AT JANGHUNG, KOREA

  • Saro, Lee;Choi, Jae-Won;Yu, Young-Tae
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2003.04a
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    • pp.64-64
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    • 2003
  • The aim of this study is to apply and verify of logistic regression at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database.13${\times}$1ure, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the logistic regression coefficient were overlaid for landslide susceptibility mapping. Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.

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APPLICATION OF LIKELIHOOD RATIO A MODEL FOR LANDSLIDE SUSCEPTIBILITY MAPPING USING GIS AT JANGHUNG, KOREA

  • Choi, Jae-Won;Lee, Saro;Yu, Young-Tae
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2003.04a
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    • pp.63-63
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    • 2003
  • The aim of this study is to apply and verify of Bayesian probability model, the likelihood ratio and statistical model, at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database. Texture, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the likelihood ratio coefficient were overlaid for landslide susceptibility mapping, Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.

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Forecast of Land use Change for Efficient Development of Urban-Agricultural city (도농도시의 효율적 개발을 위한 토지이용변화예측)

  • Kim, Se-Kun;Han, Seung-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.2
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    • pp.73-79
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    • 2012
  • This study attempts to analyze changes in land use patterns in a compound urban and agricultural city Kimje-si, using LANDSAT TM imagery and to forecast future changes accordingly. As a new approach to supervised classification, HSB(Hue, Saturation, Brightness)-transformed images were used to select training zones, and in doing so classification accuracy increased by more than 5 percent. Land use changes were forecasted by using a cellular automaton algorithm developed by applying Markov Chain techniques, and by taking into account classification results and GIS data, such as population of the pertinent region by area, DEMs, road networks, water systems. Upon comparing the results of the forecast of the land use changes, it appears that geographical features had the greatest influence on the changes. Moreover, a forecast of post-2030 land use change patterns demonstrates that 21.67 percent of mountain lands in Kimje-si is likely to be farmland, and 13.11 percent is likely to become city areas. The major changes are likely to occur in small mountain lands located in the heart of the city. Based on the study result, it seems certain that forecasting future land use changes can help plan land use in a compound urban and agricultural city to procure food resources.