• 한국측량학회:학술대회논문집
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• 한국측량학회 2003년도 춘계학술발표회 논문집
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• pp.313-316
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• 2003

Growing urban areas modify patterns of local land use and land cover. Land use changes associated with an urban area can be extensive. One way to understand and document land use change and urbanization is to establish benchmark maps compiled from satellite imagery The use of satellite imagery for monitoring urban growth has been widely demonstrated. Multi-temporal LANSAT TM image data has created the potential for monitoring urban change and land cover identification. In this study, for extracting urban boundary GLCM method and visual interpretation were used in CORONA imagery and SPOT imagery.

• 한국디지털건축인테리어학회논문집
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• 제11권4호
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• pp.47-56
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• 2011

In recent years, the change of urban function and the decrease in birth rate have given rise to merge, abolition and relocation of the existing building in cities. This study explores the possibilities for various land utilizations of relocated urban sites. In doing so, it compares the development methods and the utilization pattern between home and abroad. It analyses the land use categories and the development methodologies of 4 relocated urban sites happened in Seoul and 4 foreign sites. In addition, it analyzes the land utilization after relocation, development principals, area, building usage and changes in land use regulation. Finally, it proposes the directions for developing relocated site and each of roles among the parties concerned. This study concludes that it is available to exploit the relocated urban sites by the variety of development methodologies, especially in a metropolis like Seoul.

• 대한원격탐사학회지
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• 제24권1호
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• pp.25-33
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• 2008

To investigate the hydrologic impacts of climate changes on dam inflow for Soyanggangdam watershed $(2694.4km^2)$ of northeastern South Korea, SLURP (Semi-distributed Land Use-based Runoff Process) model and the climate change results of CCCma CGCM2 based on SRES A2 and B2 were adopted. By the CA-Markov technique, future land use changes were estimated using the three land cover maps (1985, 1990, 2000) classified by Landsat TM satellite images. NDVI values for 2050 and 2100 land uses were estimated from the relationship of NDVI-Temperature linear regression derived from the observed data (1998-2002). Before the assessment, the SLURP model was calibrated and verified using 4 years (1998-2001) dam inflow data with the Nash-Sutcliffe efficiencies of 0.61 to 0.77. In case of A2 scenario, the dam inflows of 2050 and 2100 decreased 49.7 % and 25.0 % comparing with the dam inflow of 2000, and in case of B2 scenario, the dam inflows of 2050 and 2100 decreased 45.3 % and 53.0 %, respectively. The results showed that the impact of land use change covered 2.3 % to 4.9 % for the dam inflow change.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.470-472
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• 2003

The primary goal in this paper is to analyze urban growth patterns using multi-temporal remote sensing images and geographic information data. In order to accomplish this purpose, firstly data pre-processing is carried out, and then land-use maps are generated with ancillary data source by heads-up on-screen digitizing. Lastly, using the results of the previous stages, the patterns of land-use and urban changes are monitored by the proposed scheme. In this research, using the multi-temporal images and geographic information data, monitoring of urban growth was carried out with the application of urban land-use changes.

• 농촌계획
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• 제8권1호
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• pp.41-59
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• 2002

The condition and management of land resources has become an increasing matter of concern in recent years, because of the pressure placed upon land for agricultural use by expanding populations and economic development. Pressures upon land quality can lead to various forms of land degradation, such as in soil erosion, soil fertility decline, adverse changes in water resources, salinization of irrigated areas, or decline in the biological condition of forests or rangelands. In 1992, World Bank estimates that the cost of degraded areas has been estimated as 10-50 times higher than that of measures to prevent degradation. Based upon a survey interviewed with people living in rural areas, the present study argue that it is important to establish policies for preventing changes in agricultural land use, to provide early warning of adverse trends and identification of problem areas. The present study also stresses that stewardship of agricultural land resources plays a leading role in achieving sustainable rural development not to mention agricultural and forestry production.

• 한국물환경학회지
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• 제24권6호
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• pp.806-816
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• 2008

In recent years, increases in impervious areas with rapid urbanization and land use changes are causing numerous hydrologic and environmental problems. In this study Low Impact Development (LID) was applied to investigate changes in runoff and peak runoff with LID plans. SWMM 5.0 was used to simulate LID Integrated Management Practices (IMPs) at study area. The SWMM estimated total runoff volume with conventional land use planning is (82.3%, 46.44 mm), (99%, 73.16 mm) greater than total runoff before urbanization, while total runoff with LID is (11.1%, 46.44 mm), (49%, 73.16 mm) greater than those before urbanization. With the LID adoption in land use planning, pervious area increases by 49.8% compared with that from the conventional urban land use planning, resulting in (32.7%, 46.44 mm), (23.6%, 73.16 mm) decrease in total runoff, and (32.6%, 46.44 mm), (18.5%, 73.16 mm) decreases in peak rate runoff. The results obtained from this study indicate that peak rate runoff, time to peak, and total runoff can be reduced with the LID in urban land use planning because the LID secures pervious areas with various LID IMPs. The SWMM simulated result using design storm data and the US EPA suggested CN values for various LID IMPs implies that how environment-friendly urban land use planning with the LID adoption is important for sustainable development at urbanizing watershed.

• 한국농공학회논문집
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• 제52권3호
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• pp.39-45
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• 2010

Quantification of carbon absorption and understanding the human induced land use changes (LUC) forms one of the major study with respect to global climatic changes. An attempt study has been made to quantify the carbon absorption by LUC through remote sensing technology. The Landsat imagery four time periods was classified with the hybrid classification method in order to quantify carbon absorption by LUC. Thereafter, for estimating the amount of carbon absorption, the stand biomass of forest was estimated with the total weight, which was the sum of individual tree weight. Individual tree volumes could be estimated with the crown width extracted from digital forest cover type map. In particular, the carbon conversion index and the ratio of the $CO_2$ molecular weight to the C atomic weight, reported in the IPCC guideline, was used to convert the stand biomass into the amount of carbon absorption. Total carbon absorption has been modeled by taking areal estimates of LUC of four time periods and carbon factors for land use type and standing biomass. Results of this study, through LUC suggests that over a period of construction, 7.10 % of forest and 9.43 % of barren were converted into urban. In the conversion process, there has been a loss of 6.66 t/ha/y (7.94 %) of carbon absorption from the study area.

• 한국습지학회지
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• 제18권3호
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• pp.226-231
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• 2016

토지이용에 따른 수질에 미치는 영향을 파악하기 위해서는 토지피복기반의 토지계 발생부하 원단위가 필요하다. 실측자료를 기반으로 토지피복기반 원단위를 도출하기에는 많은 인력과 시간을 필요로 한다. 이에 본 연구에서는 최적화를 통해 토지피복기반의 원단위 도출 방법을 제안하였다. 최적화란 주어진 조건 안에서 가장 좋은 최적해를 구하는 과정이며, 본 연구에서는 상용 프로그램인 Microsoft Excel에서 제공하고 있는 Excel Solver를 이용하여 최적화를 수행하였다. 공주시와 서천군의 2010년 위성영상 기반으로 작성된 2012년 환경부 중분류 토지피복도를 활용하여, BOD, T-N, T-P에 대한 토지피복기반 원단위를 도출하였다. 본 연구에서 수행한 토지피복기반 원단위 산정 연구는 국토 이용에 따른 오염원 발생변화를 보다 명확히 판별할 수 있을 것으로 판단된다.

• Journal of Forest and Environmental Science
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• 제33권4호
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• pp.305-314
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• 2017

This study aimed to predict changes in forest area using a probability density function, in order to promote effective forest management in the area north of the civilian control line (known as the Minbuk area) in Korea. Time series analysis (2010 and 2016) of forest area using land cover maps and accessibility expressed by distance covariates (distance from buildings, roads, and civilian control line) was applied to a probability density function. In order to estimate the probability density function, mean and variance were calculated using three methods: area weight (AW), area rate weight (ARW), and sample area change rate weight (SRW). Forest area increases in regions with lower accessibility (i.e., greater distance) from buildings and roads, but no relationship with accessibility from the civilian control line was found. Estimation of forest area change using different distance covariates shows that SRW using distance from buildings provides the most accurate estimation, with around 0.98-fold difference from actual forest area change, and performs well in a Chi-Square test. Furthermore, estimation of forest area until 2028 using SRW and distance from buildings most closely replicates patterns of actual forest area changes, suggesting that estimation of future change could be possible using this method. The method allows investigation of the current status of land cover in the Minbuk area, as well as predictions of future changes in forest area that could be utilized in forest management planning and policymaking in the northern area.

• 한국수자원학회논문집
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• 제38권5호
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• pp.379-390
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• 2005

본 연구에서는 경안천 유역을 대상으로 과거의 경년 항공사진과 지형도를 이용하여 하천형태의 변화를 분석하고, 하천주위의 토지이용변화를 비교해 보고자 하였다. 이를 위해 경안천 유역의 지방 1, 2급 하천에 해당하는 1966년, 1981년, 2000년 항공사진에 내, 외부표정을 실시하여 정사영상을 생성하였으며 또한 1914 - 1915년 지형도를 이용하여 1966년, 1981년, 2000년의 하천과 비교하였다. 이 영상을 이용하여 경년 하천형태와 하천부지의 토지이용을 분석하였는바, 주로 하천제방구역에서 뚜렷한 하천변화를 보였으며 이는 1974년의 팔당댐 건설에 따른 팔당호 유입부의 변화와 1980년대 후반의 하천정비에 따른 직선화 작업이 그 원인으로 판단된다. 또한 하천부지를 6개의 주요 분류 항목 (수역, 산림, 농지, 주거지, 도로, 모래톱)으로 토지이용도를 작성하여 그 면적변화를 분석해본 결과 농지, 주거지, 도로, 모래톱이 가장 큰 면적변화를 나타내었다.