• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.4
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• pp.133-142
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• 2004

As the city grows in population and size, land-use plan increasingly becomes a crucial element in developing a city-wide plan. In the process of developing the land use plan, identifying the present conditions and predicting the future conditions are the most important steps. That is, to understand the phenomena of land-use activities as well as to manage uses of the land efficiently require the comprehensive land use information system. This study intends to construct the land use database utilizing the Cadastral Map and Registered Building Data and to examine and suggest the application areas of the database. The database was constructed with those of Busan Metropolitan City. Using the established data, it shows how to use the database to identify the present conditions in Busan.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1031-1034
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• 2010

지난 2008년 11월 중앙정부와 팔당수계 7개 시 군은 수질보전과 더불어 지역사회의 개발을 위해 2008년 '수질오염총량관리제도'(이하 오총제)의 의무제 도입을 합의하였다. 오총제의 의무제 도입에 따라 수행되어야 할 각 유역별 토지이용 특성 분석 및 배출되는 오염물질의 정도의 명확한 규명이 이루어지지 않고 있기 때문에 유역관리의 방향 설정이 어려운 상황에 놓여있다. 이에 본 연구는 기존의 농도규제에서 좀 더 과학적 수질관리 기법인 총량관리 개념의 '수질오염 총량관리제도'의 도입에 따라 효율적이며 과학적인 소유역 관리를 위해, 토지이용과 오염물질 유출 간의 관계를 파악하고자 하였다. 대상유역은 앞서 언급한 7개 시 군의 각각 주요 하천 3개소를 선정하여 총 21개소를 2009년 6월부터 12월까지 7개월 동안 월 3회씩 BOD 및 COD를 모니터링하였다. 또한 그 유역을 전수조사를 통해 토지이용도를 조사하였다. 연구결과를 요약하면, 토지이용에 따른 산림지역이 가장 많은 지역은 가평군 남양주시로 나타났고, 도시 및 주거지가 많은 지역은 여주군, 용인시 및 이천시이며, 농지가 많은 지역은 양평군 여주군으로 나타났다. COD 및 BOD의 배출 정도는 농지와 도시 및 주거지가 많은 지역에서 높은 수준(p<$0.05^*$)으로 나타났으며, 특히 도시 및 주거지가 많은 유역에서 그 정도가 더욱 심각한 것으로 나타났다. 이에 반하여 임지의 토지 이용률이 증가할수록 BOD 및 COD 평균농도는 감소하는 것으로 나타났다(p<0.001).

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2003.11b
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• pp.68-69
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• 2003

본 연구에서는 광역적 도시경관을 파악하기 위하여 수치표고모델과 토지이용 데이터를 이용한 CG화상을 작성하고 경관을 유형화하였다. 또한 각 유형의 시점장에서 도시중심에 위치한 봉의산을 시대상으로 하는 가시권 분석을 실시하였다. 춘천시의 도시경관은 3개 유형으로 분류되었다. 유형1은 개발제한구역 중심의 경관, 유형2는 녹지 중심의 경관, 그리고 유형3은 시가지와 수역을 중심으로 한 경관특성을 나타내었다. 가시권 분석의 결과, 유형1은 수역, 유형2와 유형3은 개발제한구역에서 피시빈도가 높았다. 특히. 시가지와 인접한 의암호가 경관상 중요한 곳으로 분석되었다. 또한 토지이용에서 개발제한구역이 경관상 중요한 곳에 분포하여, 개발제한구역의 해제 정도에 따라 대상지의 도시경관이 영향을 받게 될 것으로 사료된다.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.20-29
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• 2006

Modeling urban climate caused by land use conversion is critical for human welfare and sustainable development, but has hampered because detailed information on urban characteristics is hard to obtain. With the advantage of satellite observations and the new statistical boundary system, this paper measures the economic and environmental effects of green area loss due to land use conversion in urban areas. To perform this purpose, data were collected from the various sources basic statistical unit data from the National Statistical Office, digital maps from the National Geographic Information Institute, satellite images, and field surveys when necessary. All data (maps and attributes) are built into the geographic information system (GIS). This paper also utilizes Landsat TM 5 imagery of Daegu city to derive vegetation index and to measure average surface temperature. The satellite data were examined using standard image processing software, ERDAS IMAGINE, and the results of the digital processing were presented with ARCVIEW(v.3.3). SAS package was used to perform statistical analyses. This study presents that there exists a strong relationship between land use change and climatic change as well as land price change. Based on results of the analysis, this paper suggests that planners should implement effective tools and policies of urban growth management to detect environmental quality and to make right decisions on policies concerning smart urban growth.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.5
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• pp.637-645
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• 2019

Global warming and a new energy policy request the energy saving and pollutant emission control in municipal level. Previous studies focus on transportation in the Seoul metropolitan area which can easily meet the policy goal by reducing it. This study expands the area of urban energy planning to the industries and land use which takes up most of energy use of the city. We empirically study the Busan metropolitan area's 5 years natural gas and electricity consumption data by the industries and land use. Results show that energy usage significantly depends on not only population but also urbanizing intensity and industrial category. This paper address that the policy maker need to pay attention on energy usage pattern of each sectors during the planning.

• 한국공간정보시스템학회:학술대회논문집
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• 1999.06a
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• pp.49-66
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• 1999

본 논문에서는 GIS를 이용하여 통합도시계획 모형을 정립하고 구현한 과정을 기술한다. 본 통합도시계획모형은 현재 시점에서 도시가 갖는 구조를 바탕으로 분석을 위한 계획죤을 생성하고, 생성된 계획죤들에서 발생할 수 있는 미래의 토지이용과 교통상황을 예측하여 그 결과를 전자지도와 그래프에 표현하는 과정들을 포함하고 있다. 이는 기존의 수작업으로 진행되던 계획을 위한 분석과정을 체계적으로 계량화함으로써 자동화된 분석을 통해 여러 가지 상황하에서 미래의 상황을 예측해 볼 수 있다는 장점을 가지고 있다. 또한 본 도시계획통합모형을 정립하고 구현하는 과정을 통해 얻어진 연구경험과 지식을 토대로 앞으로 개발방향과 모형의 발전방향에 대해 기술한다.

• Proceedings of the KGS Conference
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• 2004.05a
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• pp.61-61
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• 2004

본 연구는 수도권 농촌지역인 여주 지역의 토지이용 변화, 생활공간 변화, 생활실태의 변화 등을 살펴 급격하게 변화하고 있는 생활공간의 사례를 살펴 지역성을 규명코자 농촌성격이 강한 지목(예; 전, 답, 임야)과 도시적 성격이 강한 지목(대지, 공장용지, 도로용지 등)의 필지변화와 면적변화를 중심으로 토지이용의 변화를 살폈고, 지형도를 통해 과거의 마을에 비해 변해버린 생활ㆍ공간을 추적하였다. 설문지 조사를 통해 주민생활의 실태를 살폈다. (중략)

• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.2
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• pp.23-33
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• 2009

Satellite image is very usefully practiced to predict and analyze physical expansion and change of city. Physical expansion and change of city is closely related to the use of land, and continuous growth management focused on the use of land is essential for sustainable city growth. In this research, the change of land cover and land-use were analyzed with basic input data from 1985 to 2000 according to artificial satellite. Moreover, the land-use turnover rate was understood and expansion trend of urban sprawl in Busan metropolitan city and land-use characteristics of the expansion area. The results are, first, the area for urban region was expanded continuously but areas for agriculture area, forest area, and water area had different changes due to administrative district reform of Busan by each year. Second, the urbanization area in Busan was increased by 3.8% from $92.5km^2$ in 1985 to $167.5km^2$ in 2000. Third, the result of analysis on land-use turnover rate showed that agriculture area was turned into urbanized area the most, and forest area was followed by. Fourth, the result of analysis on database and overlay of buildings in Busan established in 2001 showed that agriculture area are had type 1 and 2 neighborhood living facilities (45.63%), apartment house in forest area (18.49%), and factory in water area (31.84%) with high ratio.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.4 s.34
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• pp.59-65
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• 2005

It is very important to detect land cover/land use change from the past and to use it for future urban plan. This paper investigated the application of Landsat satellite imagery for detecting urban growth and assessing its impact on surface temperature in the region. Land cover/land use change detection was carried out by using 30m resolution Landsat satellite images and hierarchial approach was introduced to detect more detail change on the changing area through high resolution aerial photos. Also, surface temperature according to land cover/land use was calculated from Landsat TM thermal infrared data and compared with real temperature to analyze the relationship between urban expansion and surface temperature. As a result, the urban expansion has raised surface radiant temperature in the urbanized area. The method using remote sensing data based on GIS was found to be effective in monitoring and analysing urban growth and in evaluating urbanization impact on surface temperature.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.17 no.1
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• pp.1-10
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• 1999

Landuse information is base data being applied as common database in the process of executing urban project service and is very available. But, the progress of business on landuse information building is deficient yet. In this study, we'd like to deal with landuse information projet that is the base of urban project, many landuse information building and the method of extraction of efficient second-information. Also, we built system to apply actively landuse information for urban projectors. And, we'd like to present the model on urban landuse classification system that wouldn't be standard yet by studying the method of urban landuse pattern using landuse in-formation being built. Also, we can evaluate if the model of urban landuse pattern comes up to present landuse. We can expect it is a base data by extracting unsuitable area from present landuse efficiently when we construct landuse project.