• Journal of Cadastre & Land InformatiX
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• v.46 no.2
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• pp.27-42
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• 2016

Forest accounts for almost 64 percents of total land cover in South Korea. For inventorying, monitoring, and managing such large area of forest, application of remote sensing and geographic information system (RS/GIS) technology is essential. On the basis of spectral characteristics of satellite imagery, forest cover and tree species can be classified, and forest cover map can be prepared. Using three dimensional data of LiDAR(Light Detection and Ranging), tree location and tree height can be measured, and biomass and carbon stocks can be also estimated. In addition, many indices can be extracted using reflection characteristics of land cover. For example, the level of vegetation vitality and forest degradation can be analyzed with VI (vegetation Index) and TGSI (Top Grain Soil Index), respectively. Also, pine wilt disease and o ak w ilt d isease c an b e e arly detected and controled through understanding of change in vegetation indices. RS and GIS take an important role in assessing carbon storage in climate change related projects such as A/R CDM, REDD+ as well. In the field of climate change adaptation, impact and vulnerability can be spatio-temporally assessed for national and local level with the help of spatio-temporal data of GIS. Forest growth, tree mortality, land slide, forest fire can be spatio-temporally estimated using the models in which spatio-temporal data of GIS are added as influence variables.

• Spatial Information Research
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• v.2 no.1
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• pp.65-74
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• 1994

Recently, as remote sensing is widely used for environmental monitoring, more precise quantitative analysis of remote sensing data is required. In this paper, themat ic maps of water qual i ty factors such as chlorophyll-a, transparency, and suspended sediments were presented from the high resoltion airborne remote sensing data of HapCheon Dam. Though it was difficult to explicitly correlate remote sensing data with water quality factors due to the insufficient number of ground teuth data, the presented water quality maps showed very well the overall spatial distribution of water pollution in the Lake.

• Korean Journal of Remote Sensing
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• v.26 no.1
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• pp.29-38
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• 2010

It is necessary to develop an integration model which can account for various data acquired at different measurement scales in environmental thematic mapping with high-resolution ground survey data and relatively low-resolution remote sensing data. This paper presents and applies a multi-scale geostatistical methodology for downscaling of thematic maps generated from lowresolution remote sensing data. This methodology extends a traditional ordinary kriging system to a block kriging system which can account for both ground data and remote sensing data which can be regarded as point and block data, respectively. In addition, stochastic simulation based on block kriging is also applied to describe spatial uncertainty attached to the downscaling. Two downscaling experiments including SRTM DEM and MODIS Leaf Area Index (LAI) products were carried out to illustrate the applicability of the geostatistical methodology. Through the experiments, multi-scale geostatistics based on block kriging successfully generated relatively high-resolution thematic maps with reliable accuracy. Especially, it is expected that multiple realizations generated from simulation would be effectively used as input data for investigating the effects of uncertain input data on GIS model outputs.

• Journal of Environmental Impact Assessment
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• v.10 no.1
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• pp.39-47
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• 2001

본 연구는 지리정보시스템 및 원격탐사기법을 응용하여 북한의 자연환경을 조사하기 위한 기초연구로서 수행되었으며, 과거 약 20년 동안의 평양 및 남포지역의 산림면적의 변화 및 경관구조 변화측면에서의 산림 파편화 양상을 조사하였다. 조사자료로는 Landsat MSS 및 TM 영상의 NDVI값을 이용하였으며, 보다 정확한 피복분류를 위하여 변형된 Cluster-Busting 알고리즘을 활용하여 산림과 비산림지역으로 단순화시켜 분석하였다. 경관구조의 변화를 살피기 위해서 조각밀도, 형태 및 핵심내부지역의 면적 등의 경관지수(Landscape Indices)를 활용하였다. 분석과정을 거쳐서 도출된 결론은 다음과 같다. 첫째, Cluster-busting 방법을 활용한 토지피복 분류결과 87.3%의 총 분류 정확도를 얻었으며, Binary Map을 이용한 변화감지(Change Detection)기법 또한 그 결과가 정확한 것으로 판단되었다. 둘째, '79년에서 '98년에 이르는 기간동안, 평양의 경우 '79년 산림면적의 15%, 그리고 남포지역의 경우 14%가 감소하였다. 셋째, 경관지수를 이용하여 북한 산림의 파편화 변화를 조사한 결과 산림조각의 개수는 늘어나고 조각의 평균면적 및 핵심내부면적은 감소하였으며 조각크기의 다양성 또한 낮아졌다. 산림조각 형태지수 또한 매우 증가하였는데 이러한 결과들은 평양 및 남포지역의 산림조각이 파편화되고 그 형태 또한 불규칙적이며 복잡하게 변화하였음을 보여주고 있다.

• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.113-116
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• 2006

지표 변수는 지면 근처의 기후변화 및 상태를 파악하는데 중요한 역할을 하기 때문에, 충분히 높은 정확성을 가진 값이 산출되어야 한다. 하지만 이러한 지표 변수는 구름과 눈, 그리고 강수등에 의해서 그 값이 변화하게 된다. 이러한 오차 값을 줄이기 위해 구름제거, 지리보정, 대기보정 등의 위성 전처리 과정이 수행되었다. 하지만 위성 전처리 과정을 수행한 이후에도 정규식생지수 시계열 자료에는 여전히 노이즈가 남아 있기 때문에 이전에 연구에서는 이동 평균등과 같은 다양한 방법으로 노이즈를 제거하고자 하였다. 하지만 이동평균 방법은 참값에 가까운 최고값도 제거하기 때문에 문제점을 가지고 있다. 본 연구에서는 다중 다항회귀식을 이용하여 정규식생지수 시계열 자료 산출시 발생하는 노이즈를 제거 하였다.

• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.149-152
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• 2006

LiDAR(Light Detection and Ranging)는 레이저 광선을 주사하여 목표물에 도달하는 시간측정을 바탕으로 x, y, z 좌표의 고밀도의 정밀한 점 자료를 획득하며, 도시 지역의 형상 추출, 수치고도모델 제작 및 산림 지역에서 수고 측정 등의 생태학적인 분야에 이르기까지 그 활용분야가 점차로 증대되고 있다. 이 연구에서는 LiDAR 시스템이 목표물에서 반사되어 들어오는 신호(return)를 여러 번에 걸쳐 나누어 기록하는 자료를 이용하여 수목의 수관층 및 하층 식생 등으로 복잡한 구조를 보이는 산림지역에서 LiDAR 신호가 투과되는 특성을 이용한 지수를 계산하였다. 수관점유율과 관련성을 보이는 지수는 향후 엽면적지수(LAI)와의 객관적인 관계를 규명하게 될 것이다.

• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.261-266
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• 2006

전국의 수문학적인 가뭄평가를 위하여 SWSI 가뭄지수를 보완한 MSWSI 개발하였다. MSWSI의 적용을 위하여 가뭄에 영향을 미치는 수문인자가 동일한 지역 즉, 댐, 하천, 지하수, 강수 유역으로 전국을 32개 및 112개의 유역으로 분할하여 적용함으로서 준분포형으로 수문학적 가뭄을 평가하는 동시에 개발된 가뭄평가 기법의 유역분할 개수에 따른 적용성을 검토하였다. 각 유역에 MSWSI를 적용하여 공간적으로 준분포형의 수문학적 가뭄 정보를 획득하였으며, 시간적으로 1974년부터 2001년까지의 1개월 및 1주 간격으로 평가하여 가뭄평가 분석시간 단위에 따른 적용성을 검토하였다. 과거 가뭄사상년도(1994, 1995, 2001년)의 가뭄조사 기록에 대하여 본 연구 결과를 검증하였으며, 기상학적 가뭄지수인 PDSI와 개발된 수문학적인 가뭄평가지수의 결과에 대하여 비교, 분석하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.129-139
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• 2019

Mapping urban areas using the earth observation satellites is useful for monitoring urban expansions and measuring urban developments. In this research, the different thresholds for detecting the urban areas separately from the remote-sensing index images (normalized-difference built-up index(NDBI) and urban index(UI) images) generated from the Landsat-8 image acquired in Daegu, South Korea were evaluated through the following steps: (1) the NDBI and UI images were separately generated from the given Landsat-8 image; (2) the different thresholds (-0.4, -0.2, and 0) for detecting the urban areas separately from the NDBI and UI images were evaluated; and (3) the accuracy of each detected urban area was assessed. The experiment results showed that the threshold -0.2 had the best performance for detecting the urban areas from the NDBI image, while the threshold -0.4 had the best performance for detecting the urban areas from the UI image. Some misclassification errors, however, occurred in the areas where the bare soil areas were classified into urban areas or where the high-rise apartments were classified into other areas. In the future research, a robust methodology for detecting urban areas, including the various types of urban features, with less misclassification errors will be proposed using the satellite images. In addition, research on analyzing the pattern of urban expansion will be carried out using the urban areas detected from the multi-temporal satellite images.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.2
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• pp.70-82
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• 2020

Recently, a lot of damages have been caused by urban flooding, and heavy rainfall that temporarily occur are the main causes of these phenomenons. The damages caused by urban flooding are identified as the change in the water balance in urban areas. To indirectly identify it, this research analyzed the change in the remote sensing indices on each land cover before and after heavy rainfall by utilizing daily precipitation data and multi-temporal Sentinel-2 satellite imagery. Cases of heavy rain advisory and warning were selected based on the daily precipitation data. And statistical fluctuation were compared by acquiring Sentinel-2 satellite images during the corresponding period and producing them as NDVI, NDWI and NDMI images about each land cover with a radius of 1,000 m based on the Seoul Weather Station. As a result of analyzing the maximum value, minimum value, mean and fluctuation of the pixels that were calculated in each remote sensing index image, there was no significant changes in the remote sensing indices in urban areas before and after heavy rainfall.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.144-159
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• 2006

Hydrological models are tools intended to realistically represent the basin's complex system in which hydrological characteristics result from a number of physical, vegetative, climatic, and anthropomorphic factors. Spatially distributed hydrological models were first developed in the 1960s, Remote sensing(RS) data and Geographical Information System(GIS) play a rapidly increasing role in the field of hydrology and water resources development. Although very few remotely sensed data can applied in hydrology, such information is of great. One of the greatest advantage of using RS data for hydrological modeling and monitoring is its ability to generate information in spatial and temporal domain, which is very crucial for successful model analysis, prediction and validation. In this paper, SLURP model is selected as semi-distributed hydrological model and MODIS Leaf Area Index(LAI), Normalized Difference Vegetation Index(NDVI) as Remote sensing input data to hydrological modeling of Kyung An-chen basin. The outlet of the Kyung An stage site was simulated, We evaluated two RS data, based on ability of SLURP model to simulate daily streamflows, and How the two RS data influence the sensitivity of simulated Evapotranspiration.