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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korean Association of Geographic Information Studies
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Journal DOI :
The Korean Association of Geographic Information Studies
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Volume & Issues
Volume 15, Issue 4 - Dec 2012
Volume 15, Issue 3 - Sep 2012
Volume 15, Issue 2 - Jun 2012
Volume 15, Issue 1 - Mar 2012
Selecting the target year
Estimation of Nonpoint Source Pollutant Loads of Juam-Dam Basin Based on the Classification of Satellite Imagery
Lee, Geun-Sang ; Kim, Tae-Keun ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 1~12
DOI : 10.11108/kagis.2012.15.3.001
The agricultural area was classified into dry and paddy fields in this study using the near-infrared band of Landsat TM to extract land cover classes that need to the application of Expected Mean Concentration (EMC) in nonpoint source works. The accuracy of image classification of the land cover map from Landsat TM image showed 83.61% and 78.41% respectively by comparing with the large and middle scale land cover map of Ministry of Environment. As the result of Soil Conservation Service (SCS) Curve Number (CN) using the land cover map from image classification, Dongbok dam and Dongbok stream basin were analyzed high. Also Geymbaek water-gage and Bosunggang upstream basin showed high in the analysis of EMC of BOD, TN, TP by basin. And also Geymbaek water-gage and Bosunggang upstream basin showed high in the analysis of non-point source through coupling with direct runoff. Therefore these basins were selected with the main area for the management of nonpoint source.
A Study on Spatial Structure Analysis Using the Integrated Model of Space Syntax and GIS - A Case Study of the Hapdeok Area in Dangjin City -
Yun, Jeong-Mi ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 13~22
DOI : 10.11108/kagis.2012.15.3.013
The spatial structure analysis using the existing space syntax has a weakness only to apply the road factor. Hence, it is necessary to perform a new spatial structure analysis considering the regional characteristics factor as well as the road factor. The purpose of this study is to propose a modified spatial structure analysis which adopts road and regional characteristics factors using the existing space syntax and GIS and then to apply it to the spatial structure analysis of the urbanized areas in Hapdeok town. For the new analysis, the experts' survey has been conducted to derive the spatial structure factors of the area and their relative weights. Specifically, it drew the road factor as well as the regional characteristics factors such as road, district, land value, and building density. This study shows that the existing spatial structure analysis considering only the road factor does not reflect the actual spatial structure but the modified spatial structure analysis considering the road factor and the regional characteristics factors more accurately analyzes the spatial structure of Hapdeok town. Hapdeok is not an area where road networks were developed along main development axis and its centrality was changed, but an area where road networks were developed by effectiveness and equity and its centrality was changed by downtown decline. The towns like Hapdeok is more suitable for applying the modified spatial structure analysis method considering the regional characteristics factors. Further research is required for selecting characteristics factors and appropriate parameters in the modified spatial structure analysis. Further case studies await in other cities for conducting its verification.
Location Analysis and Distributional Forecast of Prehistoric Sites in Ulsan Region Using GIS
Lee, Han-Dong ; Kim, Gyo-Won ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 23~35
DOI : 10.11108/kagis.2012.15.3.023
The optimum location of the prehistoric sites of Ulsan Metropolitan City are investigated by both quantile and natural breaks methods through GIS, and the settlement pattern is studied based on the possibility of presence of the prehistoric sites which are also analyzed with these methods. Such factors including elevation, slope, distance from the nearest water, aspect, geological features, soil drainage classes, subsoil and land use recommended are employed in the analysis. The optimum geographical environment is the place where it includes the water-base in the area that is the southern aspect of the gentle slope land of lowland. The geology is the Quaternary alluvium. The drainage class is fine and the deep soil saturn is the fine loamy soil and the recommendation of land use is the area that is the field. As a result of the forecast of distribution, the prehistoric sites showed the higher possibility of presence in the downstream region where the Taehwa river and Dongcheon river join because the region come close to the watercourse and the drinking water use is easy. And the aspect and elevation is the low area. The alluvium accumulated from the upper stream of the Taehwa river and Dongheon river was made roomily, the area where is suitable for the farming life. Therefore, this region is judged that the possibility of presence of the prehistoric sites is high.
Optimization of PRISM Parameters and Digital Elevation Model Resolution for Estimating the Spatial Distribution of Precipitation in South Korea
Park, Jong-Chul ; Jung, Il-Won ; Chang, Hee-Jun ; Kim, Man-Kyu ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 36~51
DOI : 10.11108/kagis.2012.15.3.036
The demand for a climatological dataset with a regular spaced grid is increasing in diverse fields such as ecological and hydrological modeling as well as regional climate impact studies. PRISM(Precipitation-Elevation Regressions on Independent Slopes Model) is a useful method to estimate high-altitude precipitation. However, it is not well discussed over the optimization of PRISM parameters and DEM(Digital Elevation Model) resolution in South Korea. This study developed the PRISM and then optimized parameters of the model and DEM resolution for producing a gridded annual average precipitation data of South Korea with 1km spatial resolution during the period 2000-2005. SCE-UA (Shuffled Complex Evolution-University of Arizona) method employed for the optimization. In addition, sensitivity analysis investigates the change in the model output with respect to the parameter and the DEM spatial resolution variations. The study result shows that maximum radius within which station search will be conducted is 67km. Minimum radius within which all stations are included is 31km. Minimum number of stations required for cell precipitation and elevation regression calculation is four. Optimizing DEM resolution is
. This study also shows that the PRISM output very sensitive to DEM spatial resolution variations. This study contributes to improving the accuracy of PRISM technique as it applies to South Korea.
Correlation Analysis with Vegetation Indices and Vegetation-Endmembers From Airborne Hyperspectral Data in Forest Area
Kim, Tae-Woo ; We, Gwang-Jae ; Suh, Yong-Cheol ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 52~65
DOI : 10.11108/kagis.2012.15.3.052
The net biomass accumulation (or net primary production, NPP) and gross primary production (GPP) have closely related with carbon accumulations(or carbon exchange) in vegetation. There are many approaches to estimate biomass using remote sensing techniques. The vegetation indices (VIs) can be a methodology to estimate biomass which assumes total chlorophyll contents. Various VIs were characterized with difference development conditions as vegetation species, input datasets. The hyperspectral data have also different spatial/spectral resolutions for aerial surveying. Additionally they need particular spectral bands selection difficulty to calculate the VIs. The objective of this study is to evaluate the correlations with airborne hyperspectral data (compact airborne spectrographic imager, CASI) and spectral unmixing model (or spectral mixture analysis, SMA) to characterize vegetation indices in forest area. The spectral mixture analysis was used to model the spectral purity of each pixel as an endmember. The endmembers are the fraction components derived from hyperspectral data through the SMA. In this study, we choose three endmembers represented vegetation pixels in the hyperspectral data. These endmembers were compared with 9 VIs by the Pearson's correlation coefficient. The results show MTVI1 and TVI have same correlation coefficient with 0.877. The MCARI, especially has very high relationship with vegetation endmembers as 0.9061 at less vegetation and soil distributed site. The MTVI1 and TVI have high correlations with the vegetation endmembers as 0.757 in whole test sites.
A Study on Object Based Image Analysis Methods for Land Use and Land Cover Classification in Agricultural Areas
Yeon, Jong-Min ; Kim, Hyun-Ok ; Yoon, Bo-Yeol ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 66~80
DOI : 10.11108/kagis.2012.15.3.066
It is necessary to normalize spectral image values derived from multi-temporal satellite data to a common scale in order to apply remote sensing methods for change detection, disaster mapping, crop monitoring and etc. There are two main approaches: absolute radiometric normalization and relative radiometric normalization. This study focuses on the multi-temporal satellite image processing by the use of relative radiometric normalization. Three scenes of KOMPSAT-2 imagery were processed using the Multivariate Alteration Detection(MAD) method, which has a particular advantage of selecting PIFs(Pseudo Invariant Features) automatically by canonical correlation analysis. The scenes were then applied to detect disaster areas over Sendai, Japan, which was hit by a tsunami on 11 March 2011. The case study showed that the automatic extraction of changed areas after the tsunami using relatively normalized satellite data via the MAD method was done within a high accuracy level. In addition, the relative normalization of multi-temporal satellite imagery produced better results to rapidly map disaster-affected areas with an increased confidence level.
Development of a Suitability Analysis System for Wind Energy Facilities Using 3D Web GIS
Kim, Kwang-Deuk ; Yun, Chang-Yeol ; Jo, Myung-Hee ; Kim, Sung-Jae ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 81~90
DOI : 10.11108/kagis.2012.15.3.081
Recently, with an increased social interest in new and renewable energy resources, together with rapid advancement in IT(information technology) and spatial information technology, there have recently been a lot of attempts to find out methods to make systematic and scientific use of information technology and spatial information technology, depending upon a fusion with GIS(Geographic Information System) spatial information technology in the field of new and renewable energy. This paper developed a suitability analysis system to conduct a correct and precise analysis of an ideal place for wind energy facilities in comprehensive consideration of topographic, economic, and cultural environments. It also used recent spatial information technology including 3D GIS to develop a supportive system for an analysis and decision making of an ideal place for 3D Web GIS-based wind energy facilities like a precise field information implementation, a 3D result display, a 3D object implementation, simulation, and so on. These systems make it possible to build scientific new-renewable energy facilities, to collect, manage and analyze information in an accurate and quantitative manner. In addition, they help serve as a turning point for the construction of a real-time information supply system. Furthermore, they can support rational decision making by making it possible to analyze a variety of forms of field information through building a system for the management of 3D image-based information on new-renewable energy resources.
Evaluation of Possibility for the Classification of River Habitat Using Imagery Information
Lee, Geun-Sang ; Lee, Hyun-Seok ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 91~102
DOI : 10.11108/kagis.2012.15.3.091
As the basis of the environmental ecological river management, this research developed a method of habitat classification using imagery information to understand a distribution characteristics of fish living in a natural river. First, topographic survey and investigation of discharge and water temperature were carried out to analyze hydraulic characteristics of fish habitat, and the unmanned aerial photography was applied to acquire river imagery at the observation time. Riffle, pool, and glide regions were selected as river habitat to analyze fish distribution characteristics. Analysis showed that the standard deviation of RGB on the riffle is higher than pool and glide because of fast stream flow. From the classification accuracy estimation on riffle region according to resolution and kernel size using the characteristics of standard deviation of RGB, the highest classification accuracy was 77.17% for resolution with 30cm and kernel size with 11. As the result of water temperature observation on pool and glide using infrared camera, they were
respectively with the differences of
. Therefore it is possible to classify pool and glide region using the infrared photography information. The habitat classification to figure out fish distribution can be carried out more efficiently, if unmanned aerial photography system with RGB and infrared band is applied.
Development of a Multi-Site Calibration Module of Distributed Model - The Case of GRM -
Choi, Yun-Seok ; Choi, Cheon-Kyu ; Kim, Kyung-Tak ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 103~118
DOI : 10.11108/kagis.2012.15.3.103
A distributed model can easily obtain discharge at any grids spatially distributed in a watershed. But if there are subwatersheds which have various characteristics in a watershed, it is needed to apply a model calibrated at each subwatershed to obtain reliable simulation results for each subwatershed. In this study, a multi-site calibration module that can calibrate a distributed model at each subwatershed using observed flow data was developed. Methods to select multi-site calibration parameters, to apply subwatershed parameters, and to set subwatershed network information are suggested. Classes to implement multi-site calibration technique are designed and a GUI was developed, and procedures for runoff modelling using subwatershed parameters were established. Multi-site calibration module was applied to Sunsan watershed(
) of Nakdong river basin. Application results showed that the multi-site calibration technique could be applied effectively to model the calibration for each subwatershed, and the simulation results of subwatershed were improved by the application of multi-site calibration.
Assessment of Flood Vulnerability to Climate Change Using Fuzzy Model and GIS in Seoul
Kang, Jung-Eun ; Lee, Moung-Jin ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 119~136
DOI : 10.11108/kagis.2012.15.3.119
The goal of this study is to apply the IPCC(Intergovernmental Panel on Climate Change) concept of vulnerability to climate change and verify the use of a combination of vulnerability index and fuzzy logic to flood vulnerability analysis and mapping in Seoul using GIS. In order to achieve this goal, this study identified indicators influencing floods based on literature review. We include indicators of exposure to climate(daily max rainfall, days of 80mm over), sensitivity(slope, geological, average DEM, impermeability layer, topography and drainage), and adaptive capacity(retarding basin and green-infra). Also, this research used fuzzy model for aggregating indicators, and utilized frequency ratio to decide fuzzy membership values. Results show that the number of days of precipitation above 80mm, the distance from river and impervious surface have comparatively strong influence on flood damage. Furthermore, when precipitation is over 269mm, areas with scare flood mitigation capacities, industrial land use, elevation of 16~20m, within 50m distance from rivers are quite vulnerable to floods. Yeongdeungpo-gu, Yongsan-gu, Mapo-gu include comparatively large vulnerable areas. This study improved previous flood vulnerability assessment methodology by adopting fuzzy model. Also, vulnerability map provides meaningful information for decision makers regarding priority areas for implementing flood mitigation policies.
Monitoring of Floating Green Algae Using Ocean Color Satellite Remote Sensing
Lee, Kwon-Ho ; Lee, So-Hyun ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 137~147
DOI : 10.11108/kagis.2012.15.3.137
Recently, floating green algae (FGA) in open oceans and coastal waters have been reported over wide area, yet accurate detection of these using traditional ground based measurement and chemical analysis in the laboratory has been difficult or even impossible due to the lack of spatial resolution, coverage, and revisit frequency. In contrast, spectral reflectance measurement makes it possible to quickly assess the chlorophyll content in green algae. Our objectives are to investigate the spectral reflectance of the FGA observed in the Yellow Sea and to develop a new index to detect FGA from satellite imagery, namely floating green algae index (FGAI), which uses relatively simple reflectance ratio technique. The Moderate Resolution Imaging Spectroradiometer (MODIS) and Geostationary Ocean Color Imager (GOCI) satellite images at 500m spatial resolution were utilized to produce FGAI which is defined as the ratio between reflectance at 860nm and 660nm bands. Both FGAI results yielded reasonable green algae detection at the regional scale distribution. Especially houly GOCI observations can present more detaield information of FGAI than low-orbit satellite.
Mapping Solar Photovoltaic Energy Resource Using LiDAR Data
Kim, Kwang-Deuk ; Yun, Chang-Yeol ; Jo, Myung-Hee ; Kim, Sung-Jae ;
Journal of the Korean Association of Geographic Information Studies, volume 15, issue 3, 2012, Pages 148~157
DOI : 10.11108/kagis.2012.15.3.148
Recently, people are getting more interested in green energy resource and environment friendly energy resource due to the lack of energy and global warming. This study produced a solar energy resource map using LiDAR(Light Detection And Ranging) data to check if it is utilized for spatial information technology and solar energy sectors that people pay more attentions to as new recycling energy. This study assigned Ulleungdo(Island) located in Gyeongsangbuk-do as a target area. This study created the contour line with 1 meter by newly photographing LiDAR and data processing. And using this contour line, this study built DEM(Digital Elevation Model) data with 1 meter. The incidence range depending on the altitude and azimuth of sun using DEM data is used to evaluate solar energy resource. This is expected to suggest an accurate method to evaluate more reliable and more precise information of new recycling energy resource by producing solar energy resource map based on accurate and precise spatial resolution data with 1 meter level.