• 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.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.1
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• pp.75-87
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• 2005

This study aims at predicting and mapping of the landslide susceptibility in the Geumho river watershed using GIS and Remote Sensing techniques. We constructed the spatial database of affecting factors such as slope angle, slope aspect, lithology, landuse, and vegetation index (NDVI) at a $30m{\times}30m$ resolution. The landslide susceptibility of the study area was predicted through overlay analysis and adding up estimation matrix, and the predicted map of landslide susceptibility with six categories (stable, very low, low, moderate, high, very high) was constructed. As the results, it showed that the very high susceptibility zones made up approximately 0.3% of the total study area, and these zones were mainly distributed in the forest area with the high slope angle and low vegetation index.

• Proceedings of the Korean Society of Environment and Ecology Conference
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• 2010.04a
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• pp.45-48
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• 2010

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09b
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• pp.1079-1080
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• 2005

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09b
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• pp.1081-1082
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• 2005

• Korean Journal of Soil Science and Fertilizer
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• v.39 no.3
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• pp.173-183
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• 2006

Purpose of this study was to estimate of soil erosion, which is related with crop productivity and water quality in watershed, in Seonakdong river watershed using USLE. The data set for USLE estimation were derived from detailed digital map(K factor), satellite imagery(C and P factors) and DEM(LS factor). The R factor was calculated by AWS data from Kimhae agricultural technology center. The soil loss from arable land was equivalent of 31.5% of total soil loss in Seonakdong river watershed. The soil loss amount of paddy field and upland were 2.8% and 97.2% of arable land, respectively, even in the area where paddy field was occupied much largely as 76.3%. The reason of large amount of soil loss from upland was that 30.4% of upland was distributed at "severe" and "very severe" soil erosion grade in watershed. The distribution of soil erosion grade during cropping season(May-Sept.) was similar to the annual soil loss. Soil erosion of non-cropping season(Oct.-Apr.) was small due to a low R factor. But, soil erosion grade of near mountain footslope areas showed severe and very severe even in non-cropping season.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.4
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• pp.114-122
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• 2005

The purpose of this study was to analyze the landscape characteristics by making DEM, land use map, and the land cover map on the Odesan national park, and to suggest the method of visual management through the visibility analysis. In the change of land use district, the natural environment district decreased, the natural preservation district extended relatively. It means that the tendency of preservation was strengthened. However, the development possibility has increased by increase as for the area of the village district. In the land cover change, it appeared agriculture area and city area increase in the natural environmental district. The most area where visible frequency appeared highly belonged to the natural preservation district and forest region. However some areas belonged to the natural environmental area, and continuous landscape management was required.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.804-808
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• 2004

최근 정부의 적극적인 지원으로 남북한 교류사업이 본격적으로 추진되고 있고, 통일에 대한 기대감이 높아가고 있는 지금 어느때보다 북한에 내한 관심이 고조되고 있다. 그동안 북한과 관련된 인구는 정치, 경제, 사회, 문화 등 인문${\cdot}$사회과학분야가 대부분을 차지하였고, 자연과학 및 공학 대한 연구는 상대적으로 빈약한 실정이다(배덕효, 1999). 특히 수자원 관련분야는 최근 몇몇 학자들이 원격탐사 기법을 이용하여 연구를 수행한 바 있으나 그 결과는 매우 미비할 실정이다. 북한은 유역탐사 및 샘플채취 등을 위한 접근자체가 어렵기 때문에 자료의 수집 및 보정에 있어 많은 어려움이 따른다. 따라서 본 연구에서는 지금까지 문헌을 통해서만 소개된 북한지역의 유역특성에 따른 수자원 현황을 분석하기 위해 인공위성자료와 지형자료를 이용한 원격탐사(RS:Remote Sensing) 및 지리정보시스템(GIS:Geographic Information System) 기법을 이용하여 유역의 유출특성을 파악하였다. 대상유역으로 선정한 북한 예성강 유역은 수자원이 풍부하고 유역경사가 비교적 완만하게 구성되어 있다. 또한 용수이용에 있어서도 양수장을 이용하여 관개배수를 시행하는 북한지역의 일반적인 사례와는 달리 신곡저수지, 예의 저수지 등 대규모 저수지를 통한 관개를 시행하고 있어 남한유역과 유사한 점이 많기 때문에 적용에 있어 큰 무리가 없을 것이라 판단하였다. 지형자료 구축을 위한 인공위성 자료는 USGS(US Geological Survey) DEM(Digital Elevation Model) 자료를 이용하였으며, 이를 UTM(Universal Transverse Mercatro) 지구좌표계의 DEM 자료로 변환하였다. 또한 유역의 고도차를 이용한 흐름특성 분석을 위해 수치고도자료를 이용하여 유역흐름특성을 분석할 수 있는 TOPAZ(Topographic PArameteri-Zation) 프로그램을 이용하였다. TOPAZ 프로그램을 통해 분석된 각 격자별 분포형 수문 매개변수는 적합한 관계식을 통해 분포형 유출량을 모의하는데 적용된다.

• Journal of Korea Water Resources Association
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• v.34 no.3
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• pp.253-263
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• 2001

It is very important to select appropriate methods of collecting, predicting, and analyzing information for the development of urban water resources and the prevention of disasters. Thus, in this study an accurate data generation method is developed using Geographic Information System (GIS) and Remote Sensing (RS). The methods of development and application of an expert system are suggested to solve more efficiently the problems of water resources and quality induced by the rapid urbanization. The time-varying data in a large region, the An-Yang cheon watershed, were reasonably obtained by the application of the GIS using ARC/INFO and RS data. The ESPE (Expert System for Parameter Estimation), an expert system is developed using the CLIPS 6.0. The simulated results showed agreement with the measured data globally. These methods are expected to efficiently simulate the runoff and water quality in the rapidly varying urban area.

• Journal of Environmental Science International
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• v.27 no.11
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• pp.1155-1167
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• 2018

We developed a small sensor observation system (SSOS) at a relatively low cost to observe the atmospheric boundary layer. The accuracy of the SSOS sensor was compared with that of the automatic weather system (AWS) and meteorological tower at the Korea Meteorological Administration (KMA). Comparisons between SSOS sensors and KMA sensors were carried out by dividing into ground and lower atmosphere. As a result of comparing the raw data of the SSOS sensor with the raw data of AWS and the observation tower by applying the root-mean-square-error to the error, the corresponding values were within the error tolerance range (KMA meteorological reference point: humidity ${\pm}5%$, atmospheric pressure ${\pm}0.5hPa$, temperature ${\pm}0.5^{\circ}C$. In the case of humidity, even if the altitude changed, it tends to be underestimated. In the case of temperature, when the altitude rose to 40 m above the ground, the value changed from underestimation to overestimation. However, it can be confirmed that the errors are within the KMA's permissible range after correction.