• Korean Journal of Agricultural and Forest Meteorology
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• v.2 no.4
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• pp.175-182
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• 2000

Spatial interpolation of daily temperature forecasts and observations issued by public weather services is frequently required to make them applicable to agricultural activities and modeling tasks. In contrast to the long term averages like monthly normals, terrain effects are not considered in most spatial interpolations for short term temperatures. This may cause erroneous results in mountainous regions where the observation network hardly covers full features of the complicated terrain. We developed a spatial interpolation model for daily minimum temperature which combines inverse distance squared weighting and elevation difference correction. This model uses a time dependent function for 'mountain slope lapse rate', which can be derived from regression analyses of the station observations with respect to the geographical and topographical features of the surroundings including the station elevation. We applied this model to interpolation of daily minimum temperature over the mountainous Korean Peninsula using 63 standard weather station data. For the first step, a primitive temperature surface was interpolated by inverse distance squared weighting of the 63 point data. Next, a virtual elevation surface was reconstructed by spatially interpolating the 63 station elevation data and subtracted from the elevation surface of a digital elevation model with 1 km grid spacing to obtain the elevation difference at each grid cell. Final estimates of daily minimum temperature at all the grid cells were obtained by applying the calculated daily lapse rate to the elevation difference and adjusting the inverse distance weighted estimates. Independent, measured data sets from 267 automated weather station locations were used to calculate the estimation errors on 12 dates, randomly selected one for each month in 1999. Analysis of 3 terms of estimation errors (mean error, mean absolute error, and root mean squared error) indicates a substantial improvement over the inverse distance squared weighting.

• Land and Housing Review
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• v.3 no.1
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• pp.15-22
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• 2012

The purpose of this research was to propose housing estate planning that applies 3D spatial information to DAS housing estate planning program and to enhance applicability of 3D spatial analysis. In addition, this research evaluated the applicability of 3D spatial information to site planning of Korea Land and Housing Corporation and developed models for the purpose of applying the spatial information efficiently. Moreover, we tested applicability of LiDAR that can allow 3D spatial information to be more efficient and accurate. The results from cross section analysis implies that LiDAR has higher usability than existing geographic information. Additionally, this study shaded light on the suggested system development model that can simulate location or height of an apartment house by spatially analyzing difference between before-and-after site development.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.5 no.1
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• pp.49-58
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• 1987

The use of digital terrain model has been enlarged in calculating the earthwork due to the development of aerial photogrammetry. The calculation of earthwork plays a major role in plan or design of many civil engineering projects, and thus it has become very important to advance the accuracy of earthwork calculation. In this study, I have made an analysis of influences which DTM makes on the height accuracy of data ; on the basis of the analysis, we can develop the predictive model formula of profile shape coefficients by which the accuracy of earthwork can he preestimated in practical design according to data density of terrain, making thereby good contribution to the calculation of both earthwork amount and its expenses. This study shows that the accuracy of earthwork is more affected by the distances of cross-sections than by data density and that the effects by the standard errors of height decrease in proportion as the distances of cross-sections are great It also shows that when the prediction model formula of profile shape coefficients is applied to ordinary cases, the differences between the predicted earthwork errors and the errors by ordinary est imation are at 0.8374~3.1437$cm^3$/m, on flat terrain and 1.5628~6.967$cm^3$/m, on mountainous terrain-so little as to be ignored ; thus it can be safely ascertained that the accurate earthwork errors can be predicted applying the prediction model formula made in this study.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.497-497
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• 2022

홍수위험지도는 홍수발생시 예방되는 침수범위와 침수깊이를 나타내는 지도로 2009년 영산강수계(237.53 km), 2016년에 섬진강수계(251.06 km) 국가하천의 홍수위험지도가 제작되었고, 2021년 영산·섬진강권역 지방하천(4521.31 km) 홍수위험지도가 제작됨으로써 영산·섬진강권역 홍수위험지도 제작이 모두 완료되었다. 홍수위험지도 제작은 GIS 범람해석, 1차원 및 2차원 수치모형으로 구분할 수 있따. GIS 범람해석은 제내지의 지형 수치표고모델(DEM) 등을 활용하여 지형자료를 구축하고, 측점별 홍수위를 이용한 홍수위 DEM을 작성한 후 각 DEM의 고도차를 계산하여 홍수범람구역을 도시하는 방법이다. 도심지 또는 주거지를 관류하는 하천에 대해서는 제방의 편안 파제를 가정하여 FLUMEN모형을 이용한 2차원 범람분석 또는 HEC-RAS모형을 이용한 1차원 범람분석 방법 적용한다. 위와 같은 분석 방법으로 도출된 침수 결과는 제방 월류 및 제방 유실 등의 극한 상황을 가정한 것으로, 2020년 섬진강 대홍수 홍수피해 침수구역과 홍수위험지도의 침수구역의 겨의 일치하는 것으로 나타났다. 즉 하천홍수로 발생할 수 있는 피해의 규모를 예측할 수 있으며, 이러한 예측정보는 방재계획 수립 및 홍수대응에 활용도가 높을 것이다. 홍수위험지도는 홍수위험지도정보시스템(www.floodmap.go.kr)에서 누구나 확인이 가능하며, 지자체 방재담당자는 회원가입을 통해 홍수위험지도 전산파일 및 보고서 등을 받을 수 있다. 방재담당자는 홍수위험지도의 침수구역을 바탕으로 대피계획을 수립하고, 집중호우로 인한 하천수위 상승 시 홍수위험지도의 침수구역을 중심으로 방재활동을 하여 인명피해를 최소화할 수 있을 것이다.

• Journal of Environmental Impact Assessment
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• v.8 no.4
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• pp.1-12
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• 1999

The purpose of this study is to develop a Water Quality Management System(WQMS), which calculates pollutant discharge and forecasts water quality with a water pollution model. Operational water quality management requires not only controlling pollutants but acquiring and managing exact information. A GIS software, ArcView 3.1 was used to enter or edit geographic data and attribute data, and Avenue Script was used to customize the user interface. PCI, a remote sensing software, was used to derive land cover classification from 20 m resolution SPOT data by image processing. WQMS has two subsystems, database subsystem and modelling subsystem. The database subsystem consisted of watershed data from digital maps, remote sensing data, government reports, census data and so on. The modelling subsystem consisted of NSPLM(NonStorm Pollutant Load Model) and SPLM(Storm Pollutant Load Model). It calculates the amount of pollutant and predicts water quality. These two subsystems were connected through a graphic display module. This system has been calibrated for and applied to Mokhyun Stream watershed.

• Journal of Environmental Impact Assessment
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• v.25 no.6
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• pp.432-441
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• 2016

In this study, we predicted species distributions in Mt. Inwang and Mt. An as preceding research to build ecological corridor by considering connectivity of habitats which have been fragmented in the city. We analyzed species distributions by using Maxent (Maximum Entropy Approach) model with species presence. We used 23 points of mammals and 15 points of Titmouse (Parus major, P. palustris, P. varius) as target species from appearance points of species examined. We build 4 geography factors, 4 vegetation factors, and 2 distance factors as model variables In case of mammals, factors that affected species distribution model was Digital Elevation Model(DEM, 34%) followed by Distance from edge forest to interior (24.8%) and Species of tree (10%). On the other hand, in case of Parus species, factors that affected species distribution model were DEM (39.6%) followed by distance from road (35.4%) and Density-class (8.2%). Therefore, birds and mammals prefer interior of mountain, and this area needs to be protected.

• Journal of Korean Society for Geospatial Information Science
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• v.6 no.2 s.12
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• pp.105-117
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• 1998

The main object of this study was to prove the effectiveness of satellite Image data for extraction of the pine needle gall midge damaged area in the part of Kangwon-do area, and to present the detailed procedure of a digital image processing for extraction of those damaged area. The effectiveness of extraction of damaged area was improved by using the BRCT(Backwards Radiance Correction Transformation) with DEM for the normalization of topographic effects. The topographic surface analysis of the extracted damaged area revealed that the general damaged area was at south-west and south-east aspect with the slope of 31 to 38 degrees, the temperature of 21 to 25, and 23% to 39% of the highest altitude mountains. The new damaged area in which expanded area was at 27 to 30 degree of slope, the aspect of 46 to 180 degrees, the temperature of $11^{\circ}C\;to\;12^{\circ}C$ and 27% to 39% of the highest altitude mountains. The NDI(New Damaged Index) was developed using the environment factor and simple vegetation index.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.1
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• pp.132-142
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• 2003

A significant deficiency of most computer models used for stream floodplain analysis, is that the locations of structures impacted by flood waters, such as roads, buildings, and bridges, cannot be effectively compared to the floodplain location. The purpose of this study is the integration of the HEC River Analysis System(HEC-RAS) with ArcView geographic information system to develop a regional model for floodplain determination and representation. Also this study presents to enable two- and three-dimensional floodplain mapping and analysis in the ArcView. The methodology is applied to a Yeoju of Kyunggi-do, located in South Han River Basin. A digital terrain model is synthesized from HEC-RAS cross-sectional data and a digital elevation model of the study area. The flood plain data developed in ArcView was imported into HEC-RAS where it was combined with the field surveyed channel data in order to construct full floodplain cross sections that reflected accurate channel and overbank data for the HEC-RAS model. The flood plain limits could be expressed more accurately on ArcView by using water level data to be computed in HEC-RAS program. The computed water surface elevations and information of cross-section must be manually plotted in order to delineate floodplains. The resulting of this study provided a good representation of the general landscape and contained additional detail within the stream channel. Overall, the results of the study indicate that GIS combined with HEC-RAS is proven to be very useful and efficient for the automatic generation of flood maps, and an effective environment for floodplain mapping and analysis.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.4
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• pp.157-169
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• 2010

In this study, the applicability of SRTM(The Shuttle Radar Topography Mission) DEM(Digital Elevation Model) which is one of the remotely sensed shuttle's radar digital elevation was tested for use as the input data in a grid-based rainfall-runoff model. The SRTM DEM and digital topographic map derived DEM(TOPO DEM) were building with 500m spatial resolution for the Chungju-Dam watershed which located in the middle east of South Korea, and stream-burning method was applied to delineate the proper flow direction for model application. Similar topographical characteristics were shown as a result of comparing elevation, flow-direction, hydrological slope, number of watershed cell, and profile between SRTM DEM and TOPO DEM. Two DEMs were tested by using a grid-based rainfall-runoff model named KIMSTORM with 6 storm events. The results also showed no significant differences in average values of relative error for both peak runoff(0.91 %) and total runoff volume(0.29 %). The results showed that the SRTM DEM has applicability like TOPO DEM for use in a grid-based rainfall-runoff modeling.

• Korean Journal of Remote Sensing
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• v.36 no.2_2
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• pp.277-292
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• 2020

The purpose of this study is to propose the possibility of precise surface sedimentary facies classification and a more accurate classification method by generating the large-scale map of surface sedimentary facies based on UAV data and object-based image analysis (OBIA) for Hwang-do tidal flat in Cheonsu bay. The very high resolution UAV data extracted factors that affect the classification of surface sedimentary facies, such as RGB ortho imagery, Digital elevation model (DEM), and tidal channel density, and analyzed the principal components of surface sedimentary facies through statistical analysis methods. Based on principal components, input data to be used for classification of surface sedimentary facies were divided into three cases such as (1) visible band spectrum, (2) topographical elevation and tidal channel density, (3) visible band spectrum and topographical elevation, tidal channel density. The object-based image analysis classification method was applied to map the classification of surface sedimentary facies according to conditions of input data. The surface sedimentary facies could be classified into a total of six sedimentary facies following the folk classification criteria. In addition, the use of visible band spectrum, topographical elevation, and tidal channel density enabled the most effective classification of surface sedimentary facies with a total accuracy of 63.04% and the Kappa coefficient of 0.54.