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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 18, Issue 4 - Dec 2015
Volume 18, Issue 3 - Sep 2015
Volume 18, Issue 2 - Jun 2015
Volume 18, Issue 1 - Mar 2015
Selecting the target year
Solar Power Plant Location Analysis Using GIS and Analytic Hierarchy Process
LEE, Ki-Rim ; LEE, Won-Hee ;
Journal of the Korean Association of Geographic Information Studies, volume 18, issue 4, 2015, Pages 1~13
DOI : 10.11108/kagis.2015.18.4.001
The interest in renewable energy which can reduce greenhouse gas emissions has risen in the world including Korea. In Korea, solar energy generation accounts for a major percentage of electricity production using renewable energy and the solar power plants have been increasingly installed in Korea. The problem is, however, that researches on the location selection of solar power plants are unreasonably insufficient although the photovoltaic technology of the domestic solar power plants has been evolving. Thus, advanced solar energy technology could not be fully used. What is more, the indiscriminate installation of the solar power plants seriously damages the nature environment. In this study, conditions of the power plants location are analyzed in consideration of the social, cultural, environmental, economic factors and the optimum location is selected by visualizing and weighing various factors through the analytic hierarchy process. This study shows that the problem caused by the indiscriminate installation of a solar power plant could be prevented by determining the location after considering the influence of several factors. This paper would be helpful not only for the selection of location for solar plant installation in progress, but also for taking follow-up measures on the existing solar power plants placed wrongly.
Analysis of Hydraulic Effect by River Dredging in a Meandering Channel
KIM, Tae-Hyeong ; KIM, Byung-Hyun ; HAN, Kun-Yeun ;
Journal of the Korean Association of Geographic Information Studies, volume 18, issue 4, 2015, Pages 14~30
DOI : 10.11108/kagis.2015.18.4.014
This paper attempted to analyze the hydraulic effects that the dredging can take as an alternative to reduce possible damages of flooding due to the overflow of river levee in meandering rivers, where riverbed aggradation, seepage and erosion may occur. In order to make a hydraulic analysis in a section of meandering rivers, a two-dimensional hydraulic analysis model, RMA-2, was selected. The GIS was applied to construct two-dimensional finite element grids to consider the hydraulic conditions before and after dredging. The water surface elevations, depths, velocities, and tractive forces were compared before and after the dredging. The difference of water surface elevation between the inside and outside of river was turned out to be the maximum value of 0.58m under the design flood condition. It could be evaluated that the tractive force at the bank decreased about 42 to 67% on average for all the sections. These results could give valuable information that the dredging of the stream channel at the meandering sections decreased the risk of overflow, seepage and erosion of the banks. The methodologies given in this study will contribute to mitigating the flood damages in the surrounding farmlands.
Flow Estimation Using Rainfalls Derived from Multiple Satellite Images in North Korea
KIM, Joo-Hun ; CHOI, Yun-Seok ; KIM, Kyung-Tak ;
Journal of the Korean Association of Geographic Information Studies, volume 18, issue 4, 2015, Pages 31~42
DOI : 10.11108/kagis.2015.18.4.031
The objective of this study is to estimate the flood flow of inaccessible regions using satellite-derived rainfall and global geographic data. This study focuses on Dongsingun, an area located upstream of the Cheongcheon River in North Korea. The IFAS model was used to estimate flood flow. The model was calibrated in the Gap Stream watershed in South Korea and verified for the Byeongsung Stream watershed in the Nakdong River basin. Satellite-derived rainfalls for North Korea was revised using ground gauge data. Analysis results using CMORPH and GSMaP_NRT showed
respectively. In future studies, hydrological analysis in unmeasured and inaccessible regions will be carried out by applying more rainfall events.
Analyzing Residential Land Use Change and Population Density Considering Climate Change Using Land Use Equilibrium Model in Jeju
YOO, So-Min ; LEE, Woo-Kyun ; Yamagata, Yoshiki ; Lim, Chul-Hee ; SONG, Chol-Ho ; CHOI, Hyun-Ah ;
Journal of the Korean Association of Geographic Information Studies, volume 18, issue 4, 2015, Pages 43~58
DOI : 10.11108/kagis.2015.18.4.043
The greenhouse gas emission caused by rapid economic growth and population is increasing in Korea. Also, climate change from greenhouse gases emission is accelerated. IPCC(Intergovernmental Panel on Climate Change) report projects an increase of greenhouse gas emissions by 90% from the year 2000 to 2030(SRES, 2000). Within this context, establishing countermeasures on climate adaptation and mitigation is becoming increasingly important to reduce the negative effect of climate change at a global level. Along with global efforts to tackle climate change, Korean government has incorporated `Low Carbon Green Growth`strategies into its national policy agenda. Local governments have also conducted a number of studies to devise plans for environmentally friendly and sustainable city development. In this paper, the land-use equilibrium model, which reflects economic and geographical characteristics, is used to analyze the change in residential land use and population density. The target area for study is Jeju island in Korea. With an application of land use equilibrium model, it derived three types of scenarios of the land use change: (1) dispersion scenario-reflecting present-day conditions (2) adaptation scenario-applying adaptation measures to climate change and (3) combined scenario-integrating both adaptation and mitigation measures in model to climate change. By applying dispersion to combined scenario, the general trend shows a downward shift in population density. Subsequently, energy consumption and expected cost associated with casualties were calculated on the basis of the findings of respective scenario. The results show a descending trend in energy consumption and expected casualtie. Therefore, understanding for residential land use and population density of each scenario that analyzed land use equilibrium model in the study is expected to devise a environmental city plan for climate change stabilization and climate adaptation and mitigation.
Application Methods of the Natural Topography and Environmental Facts for Building Optimum Eco-Village
YEON, Sang-Ho ;
Journal of the Korean Association of Geographic Information Studies, volume 18, issue 4, 2015, Pages 59~67
DOI : 10.11108/kagis.2015.18.4.059
There are several methods for building optimal eco-villages in a narrow territory. To derive a new optimal eco-village factors by combining environmental factors from ubiquitous sensor network and topography factors, this study attempted to investigate ecological spaces of specific human settlements, to compare those with the spatial analytical results on natural real settlements, and to draw a construction plan for an optimal ecological village. This study presented a new milestone for building eco-villages in the large or small village units of the entire country in the fact that we can find a living space to make natural healing possible by integrating ecological factors and wellbeing spatial configuration using more healthy natural space. Also, this study proposed a practical method to do so.
Improvement of KOMPSAT Imagery Locational Accuracy Using Value-Added Processing System
LEE, Kwang-Jae ; YUN, Hee-Cheon ; KIM, Youn-Soo ;
Journal of the Korean Association of Geographic Information Studies, volume 18, issue 4, 2015, Pages 68~80
DOI : 10.11108/kagis.2015.18.4.068
To increase the utilization of the KOrea Multi-Purpose SATellite(KOMPSAT) series imagery being developed pursuant to the national space development program, high quality images with enhanced locational accuracy should be created through standardized post-processing processes. In the present study, using the Value-Added Processing System(VAPS) constructed for the post-processing of KOMPSAT imagery, location correction experiments were conducted using KOMPSAT-2 and -3 imagery from domestic and overseas regions. First, 50 pieces from each of KOMPSAT-2 imagery were selected from South Korean and North Korean regions, and modeling was conducted using GCP Chips. According to the results, the Root Mean Square Errors(RMSE) for South Korea and North Korea were 1.59 pixels and 2.04 pixels, respectively, and the locational accuracy of ortho mosaic imagery using check points were 1.33m(RMSE) and 1.90m(RMSE), respectively. Meanwhile, in the case of overseas regions for which GCP could not be easily obtained, the improvement of locational accuracy could be identified through image corrections using Open Street Map(OSM). The VAPS and reference materials used in the present study are expected to be very useful in constructing a precise image DB for entire global regions.
Change Analysis of Aboveground Forest Carbon Stocks According to the Land Cover Change Using Multi-Temporal Landsat TM Images and Machine Learning Algorithms
LEE, Jung-Hee ; IM, Jung-Ho ; KIM, Kyoung-Min ; HEO, Joon ;
Journal of the Korean Association of Geographic Information Studies, volume 18, issue 4, 2015, Pages 81~99
DOI : 10.11108/kagis.2015.18.4.081
The acceleration of global warming has required better understanding of carbon cycles over local and regional areas such as the Korean peninsula. Since forests serve as a carbon sink, which stores a large amount of terrestrial carbon, there has been a demand to accurately estimate such forest carbon sequestration. In Korea, the National Forest Inventory(NFI) has been used to estimate the forest carbon stocks based on the amount of growing stocks per hectare measured at sampled location. However, as such data are based on point(i.e., plot) measurements, it is difficult to identify spatial distribution of forest carbon stocks. This study focuses on urban areas, which have limited number of NFI samples and have shown rapid land cover change, to estimate grid-based forest carbon stocks based on UNFCCC Approach 3 and Tier 3. Land cover change and forest carbon stocks were estimated using Landsat 5 TM data acquired in 1991, 1992, 2010, and 2011, high resolution airborne images, and the 3rd, 5th~6th NFI data. Machine learning techniques(i.e., random forest and support vector machines/regression) were used for land cover change classification and forest carbon stock estimation. Forest carbon stocks were estimated using reflectance, band ratios, vegetation indices, and topographical indices. Results showed that 33.23tonC/ha of carbon was sequestrated on the unchanged forest areas between 1991 and 2010, while 36.83 tonC/ha of carbon was sequestrated on the areas changed from other land-use types to forests. A total of 7.35 tonC/ha of carbon was released on the areas changed from forests to other land-use types. This study was a good chance to understand the quantitative forest carbon stock change according to the land cover change. Moreover the result of this study can contribute to the effective forest management.
Analysis of Land Cover Classification and Pattern Using Remote Sensing and Spatial Statistical Method - Focusing on the DMZ Region in Gangwon-Do -
NA, Hyun-Sup ; PARK, Jeong-Mook ; LEE, Jung-Soo ;
Journal of the Korean Association of Geographic Information Studies, volume 18, issue 4, 2015, Pages 100~118
DOI : 10.11108/kagis.2015.18.4.100
This study established a land-cover classification method on objects using satellite images, and figured out distributional patterns of land cover according to categories through spatial statistics techniques. Object-based classification generated each land cover classification map by spectral information, texture information, and the combination of the two. Through assessment of accuracy, we selected optimum land cover classification map. Also, to figure out spatial distribution pattern of land cover according to categories, we analyzed hot spots and quantified them. Optimal weight for an object-based classification has been selected as the Scale 52, Shape 0.4, Color 0.6, Compactness 0.5, Smoothness 0.5. In case of using the combination of spectral information and texture information, the land cover classification map showed the best overall classification accuracy. Particularly in case of dry fields, protected cultivation, and bare lands, the accuracy has increased about 12 percent more than when we used only spectral information. Forest, paddy fields, transportation facilities, grasslands, dry fields, bare lands, buildings, water and protected cultivation in order of the higher area ratio of DMZ according to categories. Particularly, dry field sand transportation facilities in Yanggu occurred mainly in north areas of the civilian control line. dry fields in Cheorwon, forest and transportation facilities in Inje fulfilled actively in south areas of the civilian control line. In case of distributional patterns according to categories, hot spot of paddy fields, dry fields and protected cultivation, which is related to agriculture, was distributed intensively in plains of Yanggu and in basin areas of Cheorwon. Hot spot areas of bare lands, waters, buildings and roads have similar distribution patterns with hot spot areas related to agriculture, while hot spot areas of bare lands, water, buildings and roads have different distributional patterns with hot spot areas of forest and grasslands.
A Study on the Application of Standard Technology for Integrated Management of Water Hazard Information Platform
KIM, Dong-Young ; LEE, Jeong-Ju ; CHAE, Hyo-Sok ; HWANG, Eui-Ho ;
Journal of the Korean Association of Geographic Information Studies, volume 18, issue 4, 2015, Pages 119~130
DOI : 10.11108/kagis.2015.18.4.119
In recent years, the attention on the applications of the national or international standards to water-related information technology in practice has more increased. In particular, as the demand on spatial information technology including content development, receiving, disposal and distribution has increased, the importance of standardization has been also emphasized. However, compared with attention and demand on standardization in spatial information technology, studies on development and application of standardization are still at the initial stage. Accordingly, this study attempted to investigate the trends of international standards developed and established by International Organization for Standardization(ISO) and Open Geospatial Consortium(OGC), and to derive the adaptable integrated management standard technology for water hazard information platform. For this, we investigated big data, NoSQL, and cloud technology for the observed data provision. Furthermore, OGC WxS standard technologies for spatial information web service and ISO standards for spatial information format were investigated. Based on these investigations, we examined the strategies and plans to apply and establish the standardization for information provision.
Development of the Visualization Prototype of Radar Rainfall Data Using the Unity 3D Engine
CHOI, Hyeoung-Wook ; KANG, Soo-Myung ; KIM, Kyung-Jun ; KIM, Dong-Young ; CHOUNG, Yun-Jae ;
Journal of the Korean Association of Geographic Information Studies, volume 18, issue 4, 2015, Pages 131~144
DOI : 10.11108/kagis.2015.18.4.131
This research proposes a prototype for visualizing radar rainfall data using the unity 3D engine. The mashup of radar data with topographic information is necessary for the 3D visualization of the radar data with high quality. However, the mashup of a huge amount of radar data and topographic data causes the overload of data processing and low quality of the visualization results. This research utilized the Unitiy 3D engine, a widely used engine in the game industry, for visualizing the 3D topographic data such as the satellite imagery/the DEM(Digital Elevation Model) and radar rainfall data. The satellite image segmentation technique and the image texture layer mashup technique are employed to construct the 3D visualization system prototype based on the topographic information. The developed protype will be applied to the disaster-prevention works by providing the radar rainfall data with the 3D visualization based on the topographic information.
A Study of Spring Drought Using Terra MODIS Satellite Image - For the Soyanggang Dam Watershed -
SHIN, Hyung-Jin ; PARK, Min-Ji ; HWANG, Eui-Ho ; CHAE, Hyo-Sok ; PARK, Seong-Joon ;
Journal of the Korean Association of Geographic Information Studies, volume 18, issue 4, 2015, Pages 145~157
DOI : 10.11108/kagis.2015.18.4.145
In 2015, drought was at the worst stage of devastation in Soyanggang Dam watershed. The purpose of this study is to trace the drought area around Soyanggang dam watershed by using Terra MODIS image because it has the ability of spatio-temporal dynamics. The MODIS indices, which included the enhanced vegetation index (NDVI), were extracted from MODIS product MOD13 16-day composite datasets with a spatial resolution of 250m from 2010.01.01 to 2015.06.30. We found that application of Vegetation Condition Index (VCI) and Standardized Vegetation Index (SVI) was suitable for monitoring the drought area. The result can be used to acquire the drought data scattered and demonstrate the potential for the use of MODIS data for temporal and spatial detection of drought effects.