• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.4
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• pp.99-112
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• 2021

This study was performed to predict spatial change of future forestland area in South Korea at regional level for supporting forest-related plans established by local governments. In the study, land use was classified to three types which are forestland, agricultural land, and urban and other lands. A logistic regression model was developed using transitional interaction between each land use type and topographical factors, land use restriction factors, socioeconomic indices, and development infrastructures. In this model, change probability from a target land use type to other land use types was estimated using raster dataset(30m×30m) for each variable. With priority order map based on the probability of land use change, the total annual amount of land use change was allocated to the cells in the order of the highest transition potential for the spatial analysis. In results, it was found that slope degree and slope standard value by the local government were the main factors affecting the probability of change from forestland to urban and other land. Also, forestland was more likely to change to urban and other land in the conditions of a more gentle slope, lower slope criterion allowed to developed, and higher land price and population density. Consequently, it was predicted that forestland area would decrease by 2027 due to the change from forestland to urban and others, especially in metropolitan and major cities, and that forestland area would increase between 2028 and 2050 in the most local provincial cities except Seoul, Gyeonggi-do, and Jeju Island due to locality extinction with decline in population. Thus, local government is required to set an adequate forestland use criterion for balanced development, reasonable use and conservation, and to establish the regional forest strategies and policies considering the future land use change trends.

• Korean Journal of Remote Sensing
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• v.22 no.6
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• pp.565-574
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• 2006

Satellite images have been used to obtain land cover information that is one of important factors for hydrological analysis over a large area. In urban area, more detailed land cover data are often required for hydrological analysis because of the relatively complex land cover types. The number of land cover classes that can be classified with traditional multispectral data is usually less than the ones required by most hydrological uses. In this study, we present the capabilities of hyperspectral data (Hyperion) for the classification of hydrological land cover types in urban area. To obtain 17 classes of urban land cover defined by the USDA SCS, spectral mixture analysis was applied using eight endmembers representing both impervious and pervious surfaces. Fractional values from the spectral mixture analysis were then reclassified into 17 cover types according to the ratio of impervious and pervious materials. The classification accuracy was then assessed by aerial photo interpretation over 10 sample plots.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.1
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• pp.24-34
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• 2014

To understand urban space and make appropriate plans, the integrative analyses considering road and land use simultaneously are required. In addition, studies that involve both horizontal and vertical spaces must be taken into consideration. Therefore, the purpose of this study is to conduct a classification analysis of road network-based land use considering spatial structure. The methods of this study were as follows; first, a space syntax theory considering the structure of road network was introduced for roads. For land use, to consider both horizontal and vertical development densities of residential and commercial buildings were used. And the explanatory power of three variables-Euclidean distance, global integration and length-reflected global integration-were compared. Third, based on road as an appropriate variable, modified-IPA was conducted with land use and the results were categorized into four areas. The proposed method was applied to Gangnam-gu, a CBD area in Seoul, and results were analyzed and visualized using GIS.

• Journal of Wetlands Research
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• v.19 no.4
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• pp.515-522
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• 2017

This study investigated the runoff characteristics containing NPS pollutants in urban areas and estimated the optimal number of storm events to be monitored. 13 residential areas, 8 commercial areas, 9 transportation areas and 11 industrial areas were selected to be monitored located in urban areas. Monitoring was performed from 2008 to 2016 with a total of 632 rainfall events. As a result, it was found that commercial area needs priority NPS management compared to other landuses because the commercial area has high runoff coefficient and NPS pollutant EMC compared with other landuses. The annual monitoring frequency for each landuse was estimated to be 11 to 14 times for industrial area, 12 to 14 times for transportation area, 11 to 13 times for commercial area and 22 to 25 times for residential area. Even with the use of accumulated monitoring data for several years, there is still high probability of uncertainty due to high error in some pollutant items, and it is necessary to establish monitoring know-how and data accumulation to reduce errors by continuous monitoring.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.29-29
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• 2022

기후변화로 인한 전지구 미래는 호우 및 가뭄 등 자연재해의 발생이 증가할 것으로 전망되고 있으며, 불투수율이 높은 도시의 경우 극한강우에 따른 유출량 증가할 것으로 전망된다. 환경부에서는 물순환 선도도시에서 유출량, 불투수면, 비점오염 등을 저감하기 위해 LID(Low Impact Development)를 도입하고 있다. 본 연구에서는 도심지 내 LID 기법 중 인공습지를 이용하여 용량변화에 따른 빗물 가용 수량을 정량적으로 분석하고자 하였다. 연구대상지의 면적은 444,081.5m²이며, 유출계수는 토지이용별 면적 및 토지이용별 기초 유출계수를 이용하여 평균유출계수 0.72를 적용하였다. 인공습지의 총 용량은 2,244.8m³이며, 강우 시 월류웨어로 유입되는 지표수를 집수매거로 빗물을 취수하는 방식으로 구축될 예정이다. 대상지의 계획취수량은 150m³/day이며, 70m³/day를 빗물로 취수하는 경우와 150m³/day를 빗물로 취수하는 경우 2가지 시나리오를 대상으로 최종 취수가능여부를 분석하였다. 연간 빗물 취수 가능한 인공습지 용량을 분석하고자 부산관측소 강우자료를 이용하였으며, 강수량이 많은 6월을 시작으로 취수 가능량을 산정하기 위해서 18.06.05 ~ 19.12.31(약 1년 6개월) 강우자료를 이용하였다. 또한, 장기분석을 위해 부산관측소의 2011년 ~ 2020년 자료를 활용하였으며, 총 강수일수는 979일로 총 강수량은 16,139.8 mm로 나타났다. 연간 빗물을 항시 취수하기 위해서는 70m³/day를 빗물로 취수하는 경우 2,357.0m³의 인공습지 용량이 요구되었으며, 150m³/day를 빗물로 취수하는 경우 5,567.8m³의 인공습지 용량이 요구되었다. 또한, 10년 강우에 의한 빗물 취수 특성 분석은 70m³/day를 빗물로 취수하는 경우만 고려하였다. 분석 결과 강우 시작일을 기준으로 58일 동안 빗물 취수가 불가능한 것으로 나타났으며, 2012년도 1일, 2017년도 32일, 2018년도 8일, 2019년도 13일 동안 취수가 불가능한 것으로 나타났다. 70 m³/day의 빗물을 취수하기 위해 인공습지는 4,356.5m³의 용량이 필요한 것으로 나타났다.

• Journal of Korea Spatial Information System Society
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• v.8 no.3
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• pp.39-50
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• 2006

Rapid growth of the domestic economy caused a lot of the demand of land information. The land information system has to keep the records of the various data about land that includes its owner and usages. Also the system must present adequate results that have been accumulated upon a user's request. Since Korean Government enforces 'Law of National Land Usage and Management', the land in rural area was also tightly regulated as much as that in the urban area. In fact, when people wants to develop their land, then they realize that their land has many restrictions and regulations to use. Sometimes, they find many regulations and restrictions even in a parcel. Thus, many people quite often want to know all the laws, rules, regulations, and restrictions etc., whatever applicable on the land they are interested in. to use. The purpose of this paper is to show a legal service system that precisely presents all the related laws, regulations, and restrictions. for a piece of the land. It summarizes the search results on users' requests. It uses a knowledge-based expert system to figure out the users requests. In this paper, we designed the system architecture of the software, and implemented its prototype. The results on this system show more concise and user friendlier than those of the existing systems.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.17 no.4
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• pp.411-420
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• 1999

Coastal development and reclamation work make environment of shore destroy, such as rapid change of land use and destruction of wet-land and ocean ecosystem. Therefore new technique to detect change have been needed. This study designed new change detection method and applied to study area. The change detection image and quantitative change area by each classes are calculated. Also, this study can use the basic idea-determination data for coastal development and city plan as the sense of sight by changed images that changed from any land-cover to any land-cover between two dates.

• Journal of Digital Contents Society
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• v.19 no.9
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• pp.1727-1737
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• 2018

In this paper, we propose a system to detect spatial structures in land cover maps and to detect time-series spatial structure changes. At first, the proposed system detects patches in a certain area at different times and calculates their measures to analyse spatial structure patterns of the area. Then the system conducts patch mapping among the detected time-series patches and decides 6 types of patch changes such as keeping, creating, disappearing, splitting, merging, and changing in a mixed way. Also, the system stores the patch-based spatial structure patterns of time-series land cover maps in binary form to extract changes. This demonstrated that the proposed change detection system can be used as a basis for planning the reconstruction of the urban spatial structure by measuring the degree of urban sprawl.

• Land and Housing Review
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• v.13 no.3
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• pp.69-81
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• 2022

Unplanned land use, that is, unplanned development, causes various negative externalities. In the past, Korea has experienced significant socio-economic costs due to reckless development centered on the boundary between urban and non-urban areas.. Unplanned land use can be viewed as a result of the interaction of various factors.. Therefore, it is difficult to develop in areas where unplanned land use occurs intensively. It is necessary to strengthen legal and institutional measures so that negative externalities do not persis. In this study, we present a spatial analysis methodology to effectively find spatial clusters where unplanned land use is concentrated. By demonstrating and applying this to individual development activities that occurred in Asan City, we examine the usefulness of information to support decision making when establishing mid-to-long-term growth management strategies at the local government level.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.5D
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• pp.713-721
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• 2008

The aim of this study is to analyze the spatial association of regional economic growth and land use considering 5 plus 2 regional economic sphere (Capital region zone, Chungchung zone, Honam zone, Daekyung zone, Dongnam zone and kangwon zone, Jejudo zone) in Korea. The factors of regional economic growth are GRDP and the rate of self-finance and land use, especially industrial and manufactering zone. The data for this research are obtained by National Statistical Office web-site etc. For this, the Seemingly Unrelated Regression(SUR), as a kind of simultaneous equation model, is employed as empirical analysis. Overall results of this study show that the spatial association of the capital region zone and other zones is complementary. but Honam zone and Dongnam zone or Daekyung zone is competitive. We conclude from this study that the policy of regional development will be considered in accordance with the regional economic growth and land use. Also, this study found that Economic growth of regional economic sphere will be achieved from that of cities within zone and the results will be helpful to policy makers and regional planners when establishing regional planning in the future.