Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of Korea Spatial Information Society
Journal Basic Information
Journal DOI :
The Korean Association of Geographic Inforamtion Studies
Editor in Chief :
Volume & Issues
Volume 22, Issue 6 - Dec 2014
Volume 22, Issue 5 - Oct 2014
Volume 22, Issue 4 - Aug 2014
Volume 22, Issue 3 - Jun 2014
Volume 22, Issue 2 - Apr 2014
Volume 22, Issue 1 - Feb 2014
Selecting the target year
A Study on the Construction of 3D Cadastral Information by Mobile Mapping System
Min, Kwan Sik ; Kim, Jae Myeong ; Park, Byung Moon ;
Journal of Korea Spatial Information Society, volume 22, issue 1, 2014, Pages 1~7
DOI : 10.12672/ksis.2014.22.1.001
In this paper, we suggested plan that utilize the mobile mapping system data for constructing 3D cadastral information of roads and buildings effectively. 3D cadastral information means conflation of existing cadastral information and spatial information. It also means 3D land management that can register and manage various spatial information with land information effectively. Technically, geometry information and attribute information by image or radar scanner and location information of geographic features calculated by GPS/INS integration technology are useful for constructing 3D cadastral information included in buildings and features on the ground. As a result, the application of mobile mapping system for constructing 3D cadastral information will make a scientification and enhancing of the land information.
A Study on Estimation of the Greenhouse Gas Emission from the Road Transportation Infrastructure Using the Geostatistical Analysis -A Case of the Daegu-
Lee, Sang Woo ; Lee, Seung Wook ; Lee, Seung Yeob ; Hong, Won Hwa ;
Journal of Korea Spatial Information Society, volume 22, issue 1, 2014, Pages 9~17
DOI : 10.12672/ksis.2014.22.1.009
This study was intended to reliably predict the traffic green house gas emission in Daegu with the use of spatial statistical technique and calculate the traffic green house gas emission of each administrative district on the basis of the accurately predicted emission. First, with the use of the traffic actually surveyed at a traffic observation point, and traffic green house gas emission was calculated. Secondly, on the basis of the calculation, and with the use of Universal Kriging technique, this researcher set a suitable variogram modeling to accurately and reliably predict the green house gas emission at non-observation point suitable through spatial correlation, and then performed cross validation to prove the validity of the proper variogram modeling and Kriging technique. Thirdly, with the use of the validated kriging technique, traffic green gas emission was visualized, and its distribution features were analyzed to predict and calculate the traffic green house gas emission of each administrative district. As a result, regarding the traffic green house gas emission of each administration, it was found that Bukgu had the highest green house gas emission of
A Study on the Defense Geospatial Intelligence Governance - Focusing on the Intelligence Community and LandWarNet
Kim, Dong Hwan ;
Journal of Korea Spatial Information Society, volume 22, issue 1, 2014, Pages 19~26
DOI : 10.12672/ksis.2014.22.1.019
Recently, ICT environments have been increasingly developed and the pattern of the war also has been changed to NCW. The development of communication and network technology, for example, C4I and TDL(Tactical Data Link), has been prosperous and rapid. But the geospatial intelligence field which is the basis of the network frames relatively has not been developed. The purpose of this paper is to foster the geospatial governance in terms of the defense perspective. In order to do that, this paper deals with the U.S. Intelligence Community(IC) and the U.S. Army Global Information Grid(GIG), LandWarNet and those could be good examples of roles and statuses of geospatial intelligence. IC has been produced essential intelligence which is required for policymakers and military leaders. IC has several stove-piped intelligence process systems which have been separately developed and competed. And so as to complete GIG, the U.S. Army adopted LandWarNet. The U.S. Corps of Engineers organized the Army Geospatial Center(AGC) on 1 October 2009 to support LandWarNet. In order to develop NCW, we should recognize geospatial intelligence as the basis of network framework and make a central leading organization of defense geospatial intelligence. The mission of Korea Defense Geospatial-Intelligence Agency should be changed from producing GEOINT to a strategic GEOINT agency. The Army should organize a laboratory of geospatial intelligence field. The mission of producing GEOINT should be transferred to a geospatial intelligence battalion which is newly organized.
The Application of InSAR Signature Time Series for Landcover Classification
Yun, Hye Won ; Choi, Yun Soo ; Yoon, Ha Su ; Ko, Jong Sik ; Cho, Seong Kil ;
Journal of Korea Spatial Information Society, volume 22, issue 1, 2014, Pages 27~33
DOI : 10.12672/ksis.2014.22.1.027
Considering the wide coverage, the transparency from climate condition, Interferometric Synthetic Aperture Radar (InSAR) possesses a great potential for the landcover classification as shown in many precedent researches. In addition to the merits of InSAR products for the landcover classification, the time series analysis of InSAR pairs can provide a highly reliable basis to interpret landcover. We applied such idea with the test site in Mountain Baekdu located on the border between North Korea and China. Since it is recently noted as the potential volcanic activation site, the landcover especially the vegetation distribution information is highly essential to validate the reliability of Differential Interferometric Synthetic Aperture Radar (DInSAR) over Mt. Baekdu. The algorithms combining the auxiliary information from Moderate Resolution Imaging Spectroradiometer (MODIS) to analyze the phase coherence and backscatter coefficient of Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) was established. The results using InSAR signatures from two polarization modes of ALOS PALSAR showed high reliability for mining landcover and spatial distribution.
A Study on the World Geodetic System Transformation Using Triangle Mesh Warping
Jee, Gye Hwan ; Lee, Hyun Jik ; Kwon, Jay Hyoun ; Sim, Gyoo Seong ;
Journal of Korea Spatial Information Society, volume 22, issue 1, 2014, Pages 35~43
DOI : 10.12672/ksis.2014.22.1.035
The Triangle Mesh Warping method is suggested and applied in coordinate transformation to world geodetic system in this study. The common points of Uiwang city are used to compare the transformation accuracy of the suggested methods with existing national coordinate transformation methods. As a result, the Triangle Mesh Warping method was satisfied with accuracy criteria for positioning on a map larger than scale 1/1,000 with smaller number of common points and without distortion modeling. Additionally, in case of Guri and Pyeongtaek city that established the World Geodetic System, the suggested method generates the result of transformation accuracy better than 5cm. Based on the test, it was found that the suggested method improves the problem of securing many common points and reduces the problem of mis-match between the transformed data of adjacent areas. Accordingly, for transformation of large-scale topographic map, cadastral map, GIS DB and serial cadastral map to the World Geodetic System, it is judged that the Triangle Mesh Warping would be a good method for economical efficiency and accuracy using by minimum common point.
GIS-based BIM Object Visualization System Architecture Design using Open source BIM Server Cost-Effectively
Kang, Tae Wook ; Hong, Chang Hee ;
Journal of Korea Spatial Information Society, volume 22, issue 1, 2014, Pages 45~53
DOI : 10.12672/ksis.2014.22.1.045
The purpose of this study is to design the GIS (Geographic Information System)-based BIM (Building Information Modeling) Objects Visualization System (OVS) Architecture by using Open source BIM Server Cost-Effectively. Recently, the studies related to the facility management using GIS and BIM are being researched world-widely. In this studies, it's important to develop the BIM Server to link the heterogeneous system such as GIS and represent GIS-based BIM objects. To implement it, the trends in related studies were reviewed and the open source-based BIM server architecture was analyzed. And then the architecture considering the BIM server was designed to represent the geometry and property of the BIM object which was stored in BIM server. Lastly, the system by using the proposed architecture was developed.
Estimation of Near Surface Air Temperature Using MODIS Land Surface Temperature Data and Geostatistics
Shin, HyuSeok ; Chang, Eunmi ; Hong, Sungwook ;
Journal of Korea Spatial Information Society, volume 22, issue 1, 2014, Pages 55~63
DOI : 10.12672/ksis.2014.22.1.055
Near surface air temperature data which are one of the essential factors in hydrology, meteorology and climatology, have drawn a substantial amount of attention from various academic domains and societies. Meteorological observations, however, have high spatio-temporal constraints with the limits in the number and distribution over the earth surface. To overcome such limits, many studies have sought to estimate the near surface air temperature from satellite image data at a regional or continental scale with simple regression methods. Alternatively, we applied various Kriging methods such as ordinary Kriging, universal Kriging, Cokriging, Regression Kriging in search of an optimal estimation method based on near surface air temperature data observed from automatic weather stations (AWS) in South Korea throughout 2010 (365 days) and MODIS land surface temperature (LST) data (MOD11A1, 365 images). Due to high spatial heterogeneity, auxiliary data have been also analyzed such as land cover, DEM (digital elevation model) to consider factors that can affect near surface air temperature. Prior to the main estimation, we calculated root mean square error (RMSE) of temperature differences from the 365-days LST and AWS data by season and landcover. The results show that the coefficient of variation (CV) of RMSE by season is 0.86, but the equivalent value of CV by landcover is 0.00746. Seasonal differences between LST and AWS data were greater than that those by landcover. Seasonal RMSE was the lowest in winter (3.72). The results from a linear regression analysis for examining the relationship among AWS, LST, and auxiliary data show that the coefficient of determination was the highest in winter (0.818) but the lowest in summer (0.078), thereby indicating a significant level of seasonal variation. Based on these results, we utilized a variety of Kriging techniques to estimate the surface temperature. The results of cross-validation in each Kriging model show that the measure of model accuracy was 1.71, 1.71, 1.848, and 1.630 for universal Kriging, ordinary Kriging, cokriging, and regression Kriging, respectively. The estimates from regression Kriging thus proved to be the most accurate among the Kriging methods compared.
A Linkage between IndoorGML and CityGML using External Reference
Kim, Joon-Seok ; Yoo, Sung-Jae ; Li, Ki-Joune ;
Journal of Korea Spatial Information Society, volume 22, issue 1, 2014, Pages 65~73
DOI : 10.12672/ksis.2014.22.1.065
Recently indoor navigation with indoor map such as Indoor Google Maps is served. For the services, constructing indoor data are required. CityGML and IFC are widely used as standards for representing indoor data. The data models contains spatial information for the indoor visualization and analysis, but indoor navigation requires semantic and topological information like graph as well as geometry. For this reason, IndoorGML, which is a GML3 application schema and data model for representation, storage and exchange of indoor geoinformation, is under standardization of OGC. IndoorGML can directly describe geometric property and refer elements in external documents. Because a lot of data in CityGML or IFC have been constructed, a huge amount of construction time and cost for IndoorGML data will be reduced if CityGML can help generate data in IndoorGML. Thus, this paper suggest practical use of CityGML including deriving from and link to CityGML. We analyze relationships between IndoorGML and CityGML. In this paper, issues and solutions for linkage of IndoorGML and CityGML are addressed.
Fast Detection of Power Lines Using LIDAR for Flight Obstacle Avoidance and Its Applicability Analysis
Lee, Mijin ; Lee, Impyeong ;
Journal of Korea Spatial Information Society, volume 22, issue 1, 2014, Pages 75~84
DOI : 10.12672/ksis.2014.22.1.075
Power lines are one of the main obstacles causing an aircraft crash and thus their realtime detection is significantly important during flight. To avoid such flight obstacles, the use of LIDAR has been recently increasing thanks to its advantages that it is less sensitive to weather conditions and can operate in day and night. In this study, we suggest a fast method to detect power lines from LIDAR data for flight obstacle avoidance. The proposed method first extracts non-ground points by eliminating the points reflected from ground surfaces using a filtering process. Second, we calculate the eigenvalues for the covariance matrix from the coordinates of the generated non-ground points and obtain the ratio of eigenvalues. Based on the ratio of eigenvalues, we can classify the points on a linear structure. Finally, among them, we select the points forming horizontally long straight as power-line points. To verify the algorithm, we used both real and simulated data as the input data. From the experimental results, it is shown that the average detection rate and time are 80% and 0.2 second, respectively. If we would improve the method based on the experiment results from the various flight scenario, it will be effectively utilized for a flight obstacle avoidance system.