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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korean Society for Geospatial Information System
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Journal DOI :
The Korean Society for Geospatial Information System
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Volume & Issues
Volume 22, Issue 4 - Dec 2014
Volume 22, Issue 3 - Sep 2014
Volume 22, Issue 2 - Jun 2014
Volume 22, Issue 1 - Mar 2014
Selecting the target year
Update of Digital Map by using The Terrestrial LiDAR Data and Modified RANSAC
Kim, Sang Min ; Jung, Jae Hoon ; Lee, Jae Bin ; Heo, Joon ; Hong, Sung Chul ; Cho, Hyoung Sig ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 3~11
DOI : 10.7319/kogsis.2014.22.4.003
Recently, rapid urbanization has necessitated continuous updates in digital map to provide the latest and accurate information for users. However, conventional aerial photogrammetry has some restrictions on periodic updates of small areas due to high cost, and as-built drawing also brings some problems with maintaining quality. Alternatively, this paper proposes a scheme for efficient and accurate update of digital map using point cloud data acquired by Terrestrial Laser Scanner (TLS). Initially, from the whole point cloud data, the building sides are extracted and projected onto a 2D image to trace out the 2D building footprints. In order to register the footprint extractions on the digital map, 2D Affine model is used. For Affine parameter estimation, the centroids of each footprint groups are randomly chosen and matched by means of a modified RANSAC algorithm. Based on proposed algorithm, the experimental results showed that it is possible to renew digital map using building footprint extracted from TLS data.
Wind Farm Siting in Mountainous Terrain By Geomorphometric Characterization
Kim, Hyun Goo ; Hwang, Hyo Jung ; Kang, Yong Heack ; Yun, Chang Yeol ; Jung, Bi Rin ; Song, Kyu Bong ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 13~19
DOI : 10.7319/kogsis.2014.22.4.013
To develop a wind farm in a mountainous terrain like Korea, it is generally more advantageous to install wind turbines along a mountain ridge where has relatively better wind resource because that is open in all directions and free from shielding by the surrounding topography. In this study, the SRTM (Shuttle Radar Topography Mission) v4.1 3 arc-second resolution digital elevation database and the geomorphometric characterization software LandSerf v2.3 are used to extract ridge lines for assessing a wind farm siting in mountainous terrain. The effectiveness of wind farm siting along a ridge line is confirmed that the most of wind turbines in the Gangwon, Taegisan, and Maebongsan wind farms in Korea's mountainous terrain are placed along the primary and secondary ridge lines where wind resource is relatively outstanding.
A Study on Detection Methodology for Influential Areas in Social Network using Spatial Statistical Analysis Methods
Lee, Young Min ; Park, Woo Jin ; Yu, Ki Yun ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 21~30
DOI : 10.7319/kogsis.2014.22.4.021
Lately, new influentials have secured a large number of volunteers on social networks due to vitalization of various social media. There has been considerable research on these influential people in social networks but the research has limitations on location information of Location Based Social Network Service(LBSNS). Therefore, the purpose of this study is to propose a spatial detection methodology and application plan for influentials who make comments about diverse social and cultural issues in LBSNS using spatial statistical analysis methods. Twitter was used to collect analysis object data and 168,040 Twitter messages were collected in Seoul over a month-long period. In addition, 'politics,' 'economy,' and 'IT' were set as categories and hot issue keywords as given categories. Therefore, it was possible to come up with an exposure index for searching influentials in respect to hot issue keywords, and exposure index by administrative units of Seoul was calculated through a spatial joint operation. Moreover, an influential index that considers the spatial dependence of the exposure index was drawn to extract information on the influential areas at the top 5% of the influential index and analyze the spatial distribution characteristics and spatial correlation. The experimental results demonstrated that spatial correlation coefficient was relatively high at more than 0.3 in same categories, and correlation coefficient between politics category and economy category was also more than 0.3. On the other hand, correlation coefficient between politics category and IT category was very low at 0.18, and between economy category and IT category was also very weak at 0.15. This study has a significance for materialization of influentials from spatial information perspective, and can be usefully utilized in the field of gCRM in the future.
Evaluation on the Seismic Performance of Port Structures using GIS
Kim, Na Young ; Kang, In Joon ; Choi, Hyun ; Kim, Tae Hyo ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 31~38
DOI : 10.7319/kogsis.2014.22.4.031
Seismic of the Korean Peninsula is terrible about 1,900 times. Lately, because of a world-occurring seismic, investment of seismic design about ground & structures come to the force as means to protect national life and property. This study evaluated having seismic performance above design criteria among the existing port structures not applied seismic design. Based on the results, classified apprehensive area of liquefaction from seismic performance evaluation and made hazards according to liquefaction risk & structural performance using the analysis of seismic performance and GIS method. After Establishing quantitative & detailed input database through liquefaction evaluation and seismic performance, analysed all seismic data are used directly valuation data on repair reinforcement for apprehensive area of earthquakes.
A Study on Accuracy Evaluation and Accuracy Improvement in Cadastral Re-survey Surveying Method
Lee, Suk Bae ; Auh, Su Chang ; Suh, Yong Woon ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 39~46
DOI : 10.7319/kogsis.2014.22.4.039
Network RTK GNSS positioning technique which has been developed to overcome the limitation of Single reference station RTK is used widely in the field of general surveying, cadastre surveying and engineering surveying due to the high accuracy and efficiency. It is specified Network RTK, Single reference station RTK and Static of GNSS as a surveying method in the regulation of Cadastre Re-survey Surveying. In this study, Network RTK and Static GNSS surveying were accomplished at cadastral re-survey field in Hadong, Gyeongnam and the surveying results were compared. Also, to analyze the performance of site calibration in Network RTK surveying, two types of Network RTK surveying with and without site calibration were accomplished and the results was compared. The research result shows that average positioning error between Network RTK(VRS) without site calibration and Static surveying result is 2.44cm and 1.53cm respectively and average positioning error between Network RTK(VRS) with site calibration and Static surveying result is 0.19cm and 0.82cm respectively at two zone. So, it was proved the effect of calibration in network RTK(VRS) surveying.
Applying Ensemble Model for Identifying Uncertainty in the Species Distribution Models
Kwon, Hyuk Soo ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 47~52
DOI : 10.7319/kogsis.2014.22.4.047
Species distribution models have been widely applied in order to assess biodiversity, design reserve, manage habitat and predict climate change. However, SDMs has been used restrictively to the public and policy sectors owing to model uncertainty. Recent studies on ensemble and consensus models have been increased to reduce model uncertainty. This paper was carried out single model and multi model for Corylopsis coreana and compares two models. First, model evaluation was used AUC, kappa and TSS. TSS was the most effective method because it was easy to compare several models and convert binary maps. Second, both single and ensemble model show good performance and RF, Maxent and GBM was evaluated higher, GAM and SRE was evaluated lower relatively. Third, ensemble model tended to overestimate over single model. This problem can be solved by the suitable model selection and weighting through collaboration between field experts and modeler. Finally, we should identify causes and magnitude of model uncertainty and improve data quality and model methods in order to apply special decision-making support system and conservation planning, and when we make policy decisions using SDMs, we should recognize uncertainty and risk.
Unsupervised Classification of Landsat-8 OLI Satellite Imagery Based on Iterative Spectral Mixture Model
Choi, Jae Wan ; Noh, Sin Taek ; Choi, Seok Keun ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 53~61
DOI : 10.7319/kogsis.2014.22.4.053
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.
Standardization of Underground Shopping Center Address System for the Three-Dimensional GIS-based Emergency Management
Ha, Byeong Po ; Kang, In Joon ; Hong, Soon Heon ; Park, Dong Hyun ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 63~69
DOI : 10.7319/kogsis.2014.22.4.063
Due to population growth and urban development in construction technology has expanded living space, underground construction as public transport as has been extended to the ground and underground urban traffic congestion increases. This underpass Stations sphere of influence this development was the center of the living space, space-time became a cultural space. However underpass ground space and time and space are enormous difficulties in contrast visibility due to smoke when light levels are low fire occurs, momentary loss of judgment errors due to a sense of orientation, rapid diffusion and ambient oxygen deficiency due to acquisition limitations, such as the Open resulting in property damage and personal injury. The purpose of this study is to analyze the existing system with respect to the address of the underground shopping center and system for presenting an address to the underground shopping mall in the basement of the straight and circular in connection with the street name address. Also can be known only to evacuate their citizens to address the position in the event of a fire inside the basement through the underground shopping mall address standardization system, the fire department only address exact location is being judged will be identified.
An Evaluation of Damage Scale on the Local Governments in Gangwon-do using Landslide Risk Maps
Yang, In Tae ; Park, Jae Kook ; Park, Kheun ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 71~80
DOI : 10.7319/kogsis.2014.22.4.071
This study predicted damage areas due to landslides in Gangwon Province and estimated the scale of damage to roads, buildings, and forests on the local government level. By using old research findings to predict landslides, the study established techniques to make maps for landslide vulnerability, occurrence possibility, and risk. The scale of damage to roads, buildings, and forests was estimated at the local government level by making a landslide risk map for 100mm, 200mm, and 300mm of accumulated rainfall. The scale of damage to roads, buildings, and forests was estimated to be greatest in Hongcheon-gun, Jeongseon-gun, and Hongcheon-gun, respectively, in case of 100mm~200mm accumulated rainfall, in Chuncheon City, Pyeongchang-gun, and Hongcheon-gun, respectively, in case of 200mm~300mm accumulated rainfall, and in Hongcheon-gun in case of 300mm accumulated rainfall or more. Those estimation results of scale of damage by landslides at the local government level will help to set priorities in landslide prevention and provide basic data for budget decisions.
The Establishment of BPR for National Spatial Data Infrastructure Quality Management System
Youn, Jun Hee ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 81~89
DOI : 10.7319/kogsis.2014.22.4.081
In Korea, National spatial data infrastructure has implemented in order to integrated manage and share the national spatial information producted by public agencies and local governments. The necessities of systematic quality management are raised, because information, which is generated by different agencies, is integrative managed by national level. In this paper, the establishment of BPR(Business Process Reengineering) for national spatial data infrastructure quality management system. Quality management business is defined as quality management object definition, quality measuring, evaluation and analysis, and quality enhancement process. Next, activities for each process are designed. For the quality management business, business rule(BR) is required for determining error. We derive the BR for six objects(legal-dong, railway boundary, railway centerline, road boundary, road centerline, building) among the basic spatial information. Other information's BR can be generated by using the derivation method described in this paper. Based on the BPR of this paper and derived BR, national spatial data infrastructure quality management system can be implemented in the future.
Accuracy Evaluation of Reflective Sheet Target Total Station for Applying in Cadastral Resurvey
Park, Ki Heon ; Hong, Sung Eon ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 91~97
DOI : 10.7319/kogsis.2014.22.4.091
In this research, we would try to evaluate the applicability in cadastral resurvey surveying by analysing the accuracy of building boundary surveying using the reflective sheet total station surveying. When we analyse it, we refer the reflective sheet which can supplement not only the difficulties of total station surveying and GPS surveying caused by the diversity of the building structure but also the errors of non prism total station caused by material of the object. Each reflected angles
of RMSE results were analyzed by RMSE between 1.2mm~2.8mm and 2.2mm~4.0mm, 2.5mm~4.4mm for each distance. The result of X RMSE was analyzed to be 0.0043m in a boundary surveying for existing building between prism surveying and reflective sheet surveying, and also Y RMSE was 0.038m. The source of error is estimated that the body of the prism can not be exactly attached to the edge of a building. Therefore, it will be very helpful to use a reflective sheet surveying with a prism in both the limit of collimation and error reductions as a building boundary measurement in cadastral resurvey surveying.
Construction of Vegetation Information Management System Using GIS
Song, Ji Hye ; Kang, In Joon ; Hong, Soon Heon ; Park, Dong Hyun ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 99~106
DOI : 10.7319/kogsis.2014.22.4.099
After 1960 forest and ecosystem are rapidly destroyed by industrialization and urbanization. Accordingly, studies that produce vegetation map continue for forest and ecosystem management. Since 1986 national natural environment survey is being conducted in Korea. Also, vegetation information is managed properly through forest geospatial information service(FGIS) of the Department of Environment when NGIS project was promoted since 1995. But it provide dominant species information based on text. In particular, some vegetation information dose not provide to end-user. Therefore, we suggest construction method of vegetation information management system based on GIS to solve the problem. Also, we suggest connection method of related system for an accurate analysis, planning and decision-making support.
A Study on Data Management Systems for Spatial Assessments of Road Visibilities at Night
Woo, Hee Sook ; Kwon, Kwang Seok ; Kim, Byung Guk ; Yoon, Chun Joo ; Kim, Young Rok ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 107~115
DOI : 10.7319/kogsis.2014.22.4.107
Visibility of the road influence the safe driving because it recognizes the obstacle on the road. In this paper, we propose a mobile data acquisition and processing system for evaluating road visibility at night. And it was converted efficiently with mobile images and archived for spatial analysis of road-visibilities at night. This was applied to the following techniques to the system. Low-power computing units, open an image processing library, GPU-based acceleration techniques and document database techniques, etc. And converting the RGB image to the YUV color system, which was integrated the brightness component and the spatial information. High performance Android devices were used to collect brightness data on roads and it was confirmed whether this prototype was to determine the spatial distribution of such acquisition and management systems for spatial-assessments of road visibility at night.
Evaluation of 3D-Positioning Method Using X-band SAR Satellite Images - Focused on InSAR, Radargrammetry and RPC
Song, Yeong Sun ; Lee, Jung Han ; Jang, In Tae ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 117~125
DOI : 10.7319/kogsis.2014.22.4.117
Korea's first X-band SAR satellite KOMPSAT-5 has been launched in 2013, so the research related to the X-band SAR satellite image is required to increase the utilization of KOMPSAT-5. In this study, we generated a DEM(Digital Elevation Model) using X-band SAR satellite images based on three methods which are InSAR, radargrammetry and RPC(Rational Polynomial Coefficients), and evaluated the performance of each methods. The four stripmap mode TerraSAR-X images taken in Daejeon were used to generate DEM, and accuracy was evaluated using DEM by IKONOS RPC. As results, DEM produced by the InSAR showed the highest accuracy. Also, we knew that RPC could be effective method if you want to create a large area DEM which contains the various elevation.
Evaluation of Network-RTK Survey Accuracy for Applying to Ground Control Points Survey
Kim, Kwang Bae ; Lee, Chang Kyung ; An, Seong ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 127~133
DOI : 10.7319/kogsis.2014.22.4.127
The purpose of this study is to evaluate the accuracy of Network-RTK(VRS) survey for applying to Ground Control Points(GCPs) survey required for mapping aerial photographs. Network-RTK has been serviced by National Geographic Information Institute since 2007. On the basis of the global coordinates system(ITRF2000), the coordinates of GCPs determined by Static GNSS survey with relative positioning techniques were regarded as accurate values. The coordinates of GCPs were also determined by Network-RTK survey using two kinds of receivers, and then they were converted into the global coordinates system(ITRF2000) by applying suitable geoid model and coordinate transformation. These coordinates of GCPs were compared with those from Static GNSS survey. The root mean squares error (RMSE) of coordinate differences between Network-RTK and Static GNSS was
in plane and
in height. Therefore, Network-RTK survey that enables single GNSS receiver to measure positions in short time is a practical alternative in positioning GCPs to either RTK survey that uses more than two sets of GNSS receivers or Static GNSS survey that requires longer observation time.
Methodology of Identifying Crime Vulnerable Road and Intersection Using Digital Map Version 2.0
Kim, Eui Myoung ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 135~142
DOI : 10.7319/kogsis.2014.22.4.135
As interest in social safety has recently increased at the national level, the various activities which can effectively prevent crimes are being carried out. Because the existing maps related to crimes provide the information about the present condition of crimes by administrative district for users, women and pedestrians who go by night could not actually grasp safe roads in advance. Therefore, this study developed the methodology that can easily extract dangerous areas due to crimes by the digital map 2.0. In the digital map 2.0, location and attribute information of center-lines of roads and building layers were used to find dangerous areas of crimes in these layers. Pavement materials and road width which are already built by the attribute information were used in the center-lines of roads. Crossing angles that roads and roads cross each other were additionally extracted and utilized. The attribute information about building types were input in the building layers of the digital map 2.0. The areas that are more the threshold values set by totaling up all the risk scores when considering pavement materials, road width, crossing angles of road, and building types in the center-lines of roads and road crossings were extracted as the dangerous areas that crimes can occur. Verification of the developed methodology was done by experiment. In the spatial apsect, the dangerous areas of crimes could be found by using the digital 2.0, roads, and building layers only through the experiment. In the administrative aspect to prevent crimes, additional installation of safety facilities such as street lights and security lights in the identified areas which are vulnerable for crimes is thought to be increasing safety of dangerous areas.
Reservoir Disaster Monitoring using Unmanned Aerial Photogrammetry
Park, Hong Gi ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 143~149
DOI : 10.7319/kogsis.2014.22.4.143
The Disaster planning for the reservoir should be more quickly and intuitively establish measures by means of the sequential monitoring of change status of the reservoir water level and water surface area. This paper presents an approach using the orthophoto image produced by the periodic unmanned aerial photogrammetry and analyzed the feasibility. Total three time of unmanned aerial survey were conducted to make orthophoto images for the Seongnae reservoir and we analyzed the amount of changes for water level and surface area compare with each images. As the Analysis results, it was possible to effectively observe the increase in the water level rises and the surface area due to the rainfall. The maximum deviations of orthophoto images was 7.5cm in X-direction, 10.8cm in Y-direction and 14.1cm in elevation compare with ground surveying results. Therefore, we conclude that the unmanned aerial photogrammetry could be applied with comprehensive reservoir monitoring works for disaster management for reservoir in the future. And, the orthophoto production takes about two hours to shoot the images, and approximately four hours is considered for the image processing. So, the unmanned aerial photogrammetry is considered to be the best disaster work that requires urgent because analysis is possible in the shooting day.
Fire Occurrence Pattern Analysis and Fire Risk Calculation of Jinju City
Bae, Gyu Han ; Yoo, Hwan Hee ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 151~157
DOI : 10.7319/kogsis.2014.22.4.151
Diverse and complex facilities have been on the increase in urban areas in accordance with rapid urbanization. Along the lines of the increase in facilities, the risk of fire has increased. In particular, fire accidents as well as traffic accidents accounted for the highest rate in artificial disasters. Therefore, the National Fire Information Systems managed by the National Emergency Management Agency (NEMA) appeared for the effective fire management. The NEMA has provided the public with the Internet services regarding information about fire outbreak since 2007. This study acquired data from both NEMA and the Jinju City Fire Department. It constructed the fire data of Jinju City and calculated the change in spatial density targeting fire, occurred in Jinju city with a view to examining the fire risk of facilities by conducting a time series analysis on the trends of fire outbreak over a span of periods between 2007 and 2013. It also conducted an analysis of Moran's I, Getis-Ord Gi. Therefore, it came to select higher hot spots in terms of fire location and fire density. In addition, it attempted to calculate the levels of fire hazard by drawing up the matrix of personal injury and property damage, depending on facilities to present the methods, which can predict the risk of fire occurrence in urban areas.
Availability Evaluation for Generation of Geospatial Information using Fixed Wing UAV
Park, Young Jin ; Jung, Kap Yong ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 159~164
DOI : 10.7319/kogsis.2014.22.4.159
These days, inexpensive and high efficiency UAV of disaster prevention and spatial information has been given more attention. But studies about test of accuracy of UAV were not enough despite high interest. This research produced DSM and ortho photo and estimated accuracy by comparing coordinates with GNSS survey to evaluate outcome of fixed wing UAV. The ortho photo was found to make use of it to update 1/1,000 map. This research investigated spatial information construction using existing terrestrial LiDAR to suggest effectiveness of fixed wing UAV.
Development Environment for Open-pit Mine Monitoring System using Geospatial Open Platform and Open Source Software
Lee, Hyun Jik ; Kim, Se Yul ; You, Ji Ho ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 165~173
DOI : 10.7319/kogsis.2014.22.4.165
Open-pit mining method, is safe relatively work as compared with underground mining. And high yield, low production cost, has the advantage that it can provide a lot of production. But deforestation, tailings and slag deposition, mineral debris, dust, water, noise, land subsidence, sediment runoff discharge, I have internalized environmental disaster predisposing factors, such as landslides. Thus, it may be noted, also by typical environmental regulations. We try to deal with the changes in open pit terrain and environment related issues. Then, use the recovery period and the open pit mine and ecology off the gun, environment-friendly development of accurate monitoring methods, systems of this development is required. The use of open platforms and open source GIS tools have been developed during this period, it needs to develop spatial information environment monitoring system open pit mine construction.
Selection of Optimal Variables for Clustering of Seoul using Genetic Algorithm
Kim, Hyung Jin ; Jung, Jae Hoon ; Lee, Jung Bin ; Kim, Sang Min ; Heo, Joon ;
Journal of Korean Society for Geospatial Information System, volume 22, issue 4, 2014, Pages 175~181
DOI : 10.7319/kogsis.2014.22.4.175
Korean government proposed a new initiative 'government 3.0' with which the administration will open its dataset to the public before requests. City of Seoul is the front runner in disclosure of government data. If we know what kind of attributes are governing factors for any given segmentation, these outcomes can be applied to real world problems of marketing and business strategy, and administrative decision makings. However, with respect to city of Seoul, selection of optimal variables from the open dataset up to several thousands of attributes would require a humongous amount of computation time because it might require a combinatorial optimization while maximizing dissimilarity measures between clusters. In this study, we acquired 718 attribute dataset from Statistics Korea and conducted an analysis to select the most suitable variables, which differentiate Gangnam from other districts, using the Genetic algorithm and Dunn's index. Also, we utilized the Microsoft Azure cloud computing system to speed up the process time. As the result, the optimal 28 variables were finally selected, and the validation result showed that those 28 variables effectively group the Gangnam from other districts using the Ward's minimum variance and K-means algorithm.