• Title/Summary/Keyword: Geospatial Data Model

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Accuracy Improvement for Building Inundation Trace Map using Accurate DEM Data and Flood Damage Information (정밀지형자료와 과거 침수피해정보를 활용한 침수흔적도 구축 정확도 개선)

  • Goo, Sin-Hoi;Kim, Seong-Sam;Park, Young-Jin;Choi, Jae-Won
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.4
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    • pp.91-99
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    • 2011
  • With increasing astronomically damage costs caused by frequent and large-sized flood, a hazard map containing comprehensive analysis results such as inundation trace investigation, flood possibility analysis, and evacuation plan establishment for flooded regions is a fundamental measure of non-structural flood prevention. Though an inundation trace map containing flood investigation results occurred by typhoon, rainfall and tsunami is a basic hazard map having close relationship with a flood possibility map as well as a hazard information map, it is often impossible to be produced because of financial deficiency, time delay of investigation, and the lack of maintenance for flood traces. Therefore, this study proposes the accuracy enhancement procedure of inundation trace map with flood damage information and three-dimensional Digital Elevation Model (DEM) for the past frequent flooded regions according to a guideline for inundation trace map of National Emergency Management Agency (NEMA).

Analysis of Carbon Emissions and Land Use Change for Low -Carbon Urban Management - Focused on Jinju (저탄소 도시관리를 위한 탄소배출과 토지이용변화 분석 -진주시를 중심으로-)

  • Eo, Jae-Hoon;Kim, Ki-Tae;Jung, Gil-Sub;Yoo, Hwan-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.1
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    • pp.129-134
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    • 2010
  • Low-carbon Green Growth is highlighted as the main political issue from in and outof Korea. Recently Korean government announced the vision for low-carbon green growth. Considering this as a starting point the carbon emission estimation has become an important factor in the city planning. In order to realize the carbon reduction planning, this research was focused on the trend analyzes between the carbon exhaust estimation as well as the land use change for the past 40 years in Jinju. The image processing data of past aerial photography and the land suitability assessment databases were used to collect the useful information's for the land trend analysis for 40 years. As the results, the land use changes by new residential developments have led to increase the carbon emissions and population concentration rapidly. The urban management planning for low carbon and green growth should consider carbon emissions by population growth derived from land use change. Further research need to estimate the accurate carbon exhaust using relationship model with fuel consumption, carbon estimation, and land use.

The Establishment Plan of Knowledge-Based Community through the 3-D National Underground Information DB Design and Utilization Review (3차원 국토지하정보 DB설계 및 활용성 검토를 통한 지식기반 커뮤니티 구축 방안)

  • Song, Seok-Jin;Jang, Yong-Gu;Kang, In-Joon
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.1
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    • pp.63-70
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    • 2011
  • The national spatial information systems project which is promoted by our country has been extended from existing 2-D geographic information to 3-D spatial information as the basic geo-spatial Information. Most of the construction of the ground geo-spatial information are completed or underway, on the other hand, the construction of the subsurface geo-spatial information has difficulty caused by the lack of the drilling data characterizing the subsurface. In terms of the construction of the geo-spatial information of the subsurface, the subsurface information is constructed and managed by the domestic institutions, but the subsurface information which is possessed by the institutions was not shared mutually so it is managed inefficiently. This study presented the 3-D national underground information DB design by dividing with the ground DB item which configures the state of the ground and the soil DB item which configures the state of the soil in order to increase the efficiency of the construction of the subsurface spatial information. The implementation & utilization of the national underground information application technology was reviewed by applying the constructed DB to the actual model area, and the national underground information knowledge-based community establishment plan was presented.

Modeling Large Scale of Urban Nonpoint Source Pollution using a Geographic Information System (지리정보체계를 이용한 도시 비점원오염의 대축척 모형화)

  • Kim, Kye-Hyun
    • Journal of Korean Society for Geospatial Information Science
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    • v.1 no.1 s.1
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    • pp.171-180
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    • 1993
  • Concern about nonpoint source pollution associated with urban storm water has led to the development of new tools for better water quality planning. This paper presents an application of a geographic information system (GIS) for urban water quality study. The GIS was used to manage land use data for nonpoint source pollution modeling and to aggregate pollutant loadings within various types of geographic units. An empirical water quality model was used to estimate pollutant loadings based primarily on land use. A land use coverage was created by updating an old coverage through interpretation of recent photography. This land use coverage was also used to record all pollutant loadings for each land use polygon. Storm sewer maps were digitized and interpreted to create a coverage of storm sewer basins and sub-basins. By overlaying pollutant loadings with the sewer sub-basin layer, aggregated pollutant loadings for major sewer outfalls were calculated. Based on the loading information, critical areas of excessive pollutant loadings were located and the effectiveness of Best Management Practices (BMPs) to control pollutant loadings were evaluated.

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Photorealistic Building Modelling and Visualization in 3D GIS (3차원 GIS의 현실감 부여 빌딩 모델링 및 시각화에 관한 연구)

  • Song, Yong Hak;Sohn, Hong Gyoo;Yun, Kong Hyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.2D
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    • pp.311-316
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    • 2006
  • Despite geospatial information systems are widely used in many different fields as a powerful tool for spatial analysis and decision-making, their capabilities to handle realistic 3-D urban environment are very limited. The objective of this work is to integrate the recent developments in 3-D modeling and visualization into GIS to enhance its 3-D capabilities. To achieve a photorealistic view, building models are collected from a pair of aerial stereo images. Roof and wall textures are respectively obtained from ortho-rectified aerial image and ground photography. This study is implemented by using ArcGIS as the work platform and ArcObjects and Visual Basic as development tools. Presented in this paper are 3-D geometric modeling and its data structure, texture creation and its association with the geometric model. As the results, photorealistic views of Purdue University campus are created and rendered with ArcScene.

Unsupervised Classification of Landsat-8 OLI Satellite Imagery Based on Iterative Spectral Mixture Model (자동화된 훈련 자료를 활용한 Landsat-8 OLI 위성영상의 반복적 분광혼합모델 기반 무감독 분류)

  • Choi, Jae Wan;Noh, Sin Taek;Choi, Seok Keun
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.53-61
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    • 2014
  • Landsat OLI satellite imagery can be applied to various remote sensing applications, such as generation of land cover map, urban area analysis, extraction of vegetation index and change detection, because it includes various multispectral bands. In addition, land cover map is an important information to monitor and analyze land cover using GIS. In this paper, land cover map is generated by using Landsat OLI and existing land cover map. First, training dataset is obtained using correlation between existing land cover map and unsupervised classification result by K-means, automatically. And then, spectral signatures corresponding to each class are determined based on training data. Finally, abundance map and land cover map are generated by using iterative spectral mixture model. The experiment is accomplished by Landsat OLI of Cheongju area. It shows that result by our method can produce land cover map without manual training dataset, compared to existing land cover map and result by supervised classification result by SVM, quantitatively and visually.

AW3D30 and SRTM30 Digital Elevation Models -Comparison around coastal islands in Gyeongsangnam-do, South Korea- (AW3D30 DEM과 SRTM30 DEM의 정확도 비교 -경상남도 연안도서를 중심으로-)

  • YANG, In-Tae;LEE, Dong-Ha;ACHARYA, Tri Dev;HAN, Dong-Seok
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.2
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    • pp.34-43
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    • 2018
  • DEM(Digital Elevation Model) being fundamental data in geospatial domain is produced from different data and using various methods. As they are derived their precision varies and altering derivative in application. In this work, we compare two widely used DEMs namely(Advanced Land Observing Satellite World 3D 30m and Shuttle Radar Topography Mission Global 30m) around coastal islands in Gyeongsangnam-do, South Korea. First statistics of each DEM were calculated and later overlapped in Landsat image for visual comparison of areas below and above zero-meter elevation. As a result, it was found that DEMs were highly correlated with each other and had similar statistics. Besides having few high differences in hilly land area, they were able to represent the coastal lines. It has also been noted that they have many negative values and should carefully select study area covering full watershed in coastal regions to avoid negative elevation even after filling the sinks.

A Study on DEM Generation from Kompsat-3 Stereo Images (아리랑 3호 스테레오 위성영상의 DEM 제작 성능 분석)

  • Oh, Jae Hong;Seo, Doo Chun;Lee, Chang No
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.1
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    • pp.19-27
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    • 2014
  • Kompsat-3 is an optical high-resolution earth observation satellite launched in May 2012. In addition to its 0.7m spatial resolution, Kompsat-3 is capable of in-track stereo acquisition enabling quality Digital Elevation Model(DEM) generation. Typical DEM generation procedure requires accurate control points well-distributed over the entire image region. But we often face difficult situations especially when the area of interests is oversea or inaccessible area. One solution to this is to use existing geospatial data even though they only cover a part of the image. This paper aimed to assess accuracy of DEM from Kompsat-3 with different scenarios including no control point, Rational Polynomial Coefficients(RPC) relative adjustment, and RPC adjustment with control points. Experiments were carried out for Kompsat-3 stereo data in USA. We used Digital Orthophoto Quadrangle(DOQ) and Shuttle Radar Topography Mission(SRTM) as control points sources. The generated DEMs are compared to a LiDAR DEM for accuracy assessment. The test results showed that the relative RPC adjustment significantly improved DEM accuracy without any control point. And comparable DEM could be derived from single control point from DOQ and SRTM, showing 7 meters of mean elevation error.

Measurement Accuracy for 3D Structure Shape Change using UAV Images Matching (UAV 영상정합을 통한 구조물 형상변화 측정 정확도 연구)

  • Kim, Min Chul;Yoon, Hyuk Jin;Chang, Hwi Jeong;Yoo, Jong Soo
    • Journal of Korean Society for Geospatial Information Science
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    • v.25 no.1
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    • pp.47-54
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    • 2017
  • Recently, there are many studies related aerial mapping project and 3 dimensional shape and model reconstruction using UAV(unmanned aerial vehicle) system and images. In this study, we create 3D reconstruction point data using image matching technology of the UAV overlap images, detect shape change of structure and perform accuracy assessment of area($m^2$) and volume($m^3$) value. First, we build the test structure model data and capturing its images of shape change Before and After. Second, for post-processing the Before dataset is convert the form of raster format image to ensure the compare with all 3D point clouds of the After dataset. The result shows high accuracy in the shape change of more than 30 centimeters, but less is still it becomes difficult to apply because of image matching technology has its own limits. But proposed methodology seems very useful to detect illegal any structures and the quantitative analysis of the structure's a certain amount of damage and management.

The Detection of Heat Emission to Solar Cell using UAV-based Thermal Infrared Sensor (UAV 기반 열적외선 센서를 이용한 태양광 셀의 발열 검출)

  • Lee, Geun Sang;Lee, Jong Jo
    • Journal of Korean Society for Geospatial Information Science
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    • v.25 no.1
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    • pp.71-78
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    • 2017
  • Many studies have been implemented to manage solar plant being supplied widely in recent years. This study analyzed heat emission of solar cell using unmanned aerial vehicle(UAV)-based thermal infrared sensor, and major conclusions are as belows. Firstly, orthomosaic image and digital surface model(DSM) data were acquired using UAV-based RGB sensor, and solar light module layer necessary to analyze the heat emission of solar cell was constructed by these data. Also as a result of horizontal error into validation points using virtual reference service(VRS) survey for evaluating the location accuracy of solar light module layer, higher location accuracy could be acquired like standard error of $dx={\pm}2.4cm$ and $dy={\pm}3.2cm$. And this study installed rubber patch to test the heat emission of solar cell and could analyzed efficiently the location of rubber patch being emitted heat using UAV-based thermal infrared sensor. Also standard error showd as ${\pm}3.5%$ in analysis between calculated cell ratio by rubber patch and analyzed cell ratio by UAV-based thermal infrared sensor. Therefore, it could be efficiently analyzed to heat emission of solar cell using UAV-based thermal infrared sensor. Also efficient maintenance of solar plant could be possible through extracting the code of solar light module being emitted of heat automatically.