• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.2B
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• pp.103-111
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• 2012

This study is to analyze the spatio-temporal trend of snowfall using 30 years (1980-2010) data for 5 selected heavy snowfall areas (Ulleungdo (a), Northeastern Region (b), Western Taebaek Range Inland Region (c), Northwestern Sobaek Range Inland Region (d) and Southern Coastal Region (e)). The snow depth and snowfall frequency during 30 years showed some decreasing trend in parts of c and d. From the spatial comparison for 2 periods between 1980-2000 (A) and 1990-2010 (B), we could identified that the frequency of advisory for heavy snowfall from A to B decreased in c and d showing clear bounds for some areas in period B. For the average snow depth from A to B, the area d decreased while the area b increased with enlarging the areal range.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.1 s.39
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• pp.9-16
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• 2007

As a number of new college students is dramatically decreasing, each college is trying to find various solutions for gathering many students and operating a school. In specialty, information such as entrance examination and matriculation status data is very important for a college to decide a direction of admission and public relations policy, and increase welfare of the school. Therefore, it is seriously needed for a school to introduce a matriculation management system that can do the effective analysis through various entrance examination and matriculation status data and decision factors of school. In this study, I developed a matriculation management system which can analyze information of applicants, successful candidates and registrants based on national framework data, and was able to analyze applicants, successful candidates, registrants by regional groups and the ratio of successful applicants against applicants and the change rate of applicants in the last 3 years. It is expected that the developed system can provide appropriate and rational information for public relations policy and operation to a college.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.2
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• pp.133-143
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• 2009

Next Generation Digital Maps on demand Updating System is a system for setup of efficient on-demand updating system, keeping up-to-date data and conducting high-quality service and efficient management. The system is designed that object-based continuous Digital Maps may have on-demand updating available, as well as the exiting feature-based digital maps, and the relevant development is being done. This study presented some problems and improvement plans related to the system operation, by means of implementing object-based continuous Digital Maps and feature-based digital maps updating test, for the next generation digital maps on demand updating system, in order to contribute to present plans to apply next generation digital maps and to secure competitiveness. And, for the economical efficiency of the next generation digital maps on demand updating system, this study analyzed expenses and benefit resulted from introduction of on demand updating system for 1:5,000 digital maps, intended for National Geographic Information Institute. and the land category which have an effect on the officially assessed land price and it using GIS technology.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.3
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• pp.91-99
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• 2012

Jinju city is operating by selecting 8 places as the flood inundation risk area and by designating shelters on this area targeting districts damaged by typhoon and heavy rain, in the past. This study selected the research area as Nabul district and Sangpyeong district where are located in the town and that has high population density out of districts with inundation risk. The network analysis of GIS was applied to the suitability assessment on location of shelter by calculating the moving speed and the arriving time after dividing it into children, general adults, and aged people in consideration of the evacuation condition in inundation disaster. As a result, it was indicated that optimal evacuation plan time for children and aged people exceeded in getting to the shelter because of evacuation time excess and that even general adults outrun the prescribed evacuation time in some districts. Accordingly, a problem for evacuation time was improved by additionally designating 1-2 shelters to existing shelters in Nabul and Sangpyeong districts. A countermeasure is needed to reduce life and property damage in disaster occurrence by implementing the evacuation warning and the age-based evacuation plan more specifically in the future.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.6
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• pp.21-31
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• 2020

This study analyzed the spatio-temporal change pattern of greenhouse areas for Sangnam-myeon and Samrangjin-eup of Miryang-si in Gyeongnam, which is one of major greenhouse area. First, in order to overcome the lack of statistical data of the distribution of greenhouses, aerial and satellite images were interpreted from 1987 to 2018, and the spatial distribution of the greenhouse parcels which has continuously increased was mapped based on the digital cadastral map. Next, through the emerging hot spot tool in ArcGIS Desktop, the spatio-temporal change in transition from open-field to greenhouse cultivation was classified into 9 clusters. About 67.7% of the target area was categorized as a hot spot, and the pattern of New hot spot, which were recently converted to greenhouse parcels, covered about 34.1%. While, about 11.3% of parcels were expected to keep the existing open-field cultivation practice for a while. Overall, the greenhouse parcels have been densely developed along a river and were lately expanding even to the far neighbor. It implied that, in the future, the competition of water intake among farms would be more serious and the environmental responsibility in consideration of water quality as well as quantity would be getting strengthened due to increasing pollution loads and river intake.

• Korean Journal of Remote Sensing
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• v.31 no.6
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• pp.583-598
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• 2015

This paper presents derivation of background temperature from geostationary satellite and its validation based on ground measurements and Geographic Information System (GIS) for future use in weather and surface heat variability. This study only focuses on daily and monthly brightness temperature in 2012. From the analysis of COMS Meteorological Data Processing System (CMDPS) data, we have found an error in cloud distribution of model, which used as a background temperature field, and in examining the spatial homogeneity. Excessive cloudy pixels were reconstructed by statistical reanalysis based on consistency of temperature measurement. The derived Brightness temperature has correlation of 0.95, bias of 0.66 K and RMSE of 4.88 K with ground station measurements. The relation between brightness temperature and both elevation and vegetated land cover were highly anti-correlated during warm season and daytime, but marginally correlated during cold season and nighttime. This result suggests that time varying emissivity data is required to derive land surface temperature.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.3
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• pp.119-127
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• 2019

In this study, we investigated the application of deep learning to the manufacturing process of traffic and road signs which are constituting the road layer in map production with 1 / 1,000 digital topographic map. Automated classification of road traffic sign images was carried out through construction of training data for images acquired by using transfer learning which is used in image classification of deep learning. As a result of the analysis, the signs of attention, regulation, direction and assistance were irregular due to various factors such as the quality of the photographed images and sign shape, but in the case of the guide sign, the accuracy was higher than 97%. In the digital mapping, it is expected that the automatic image classification method using transfer learning will increase the utilization in data acquisition and classification of various layers including traffic safety signs.

• Journal of The Geomorphological Association of Korea
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• v.27 no.2
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• pp.1-17
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• 2020

This study evaluated a debris landform distribution potential area map in the southwest region of the Korean peninsula. A GIS spatial integration technique and logistic regression method were used to produce a distribution potential area map. Seven topographic and environmental factors were considered for analysis and 28 different data set were combined and used to get most effective results. Moreover, in an accuracy assessment, the extracted results of the Distribution Potential area were evaluated by conducting a cross-validation module. Block stream showed the highest accuracy in the combination No. 6, and that DEM (digital elevation model) and TWI (topographic wetness index) have relatively high influences on the production of the Block stream Distribution Potential area map. Talus showed the highest accuracy in the combination No. 13. We also found that slope, TWI and geology have relatively high influences on the production of the Talus Distribution Potential area map. In addition, fieldwork confirmed the accuracy of the input data that were used in this study, and the slope and geology were also similar. It was also determined that these input data were relatively accurate. In the case of angularity, the block stream was composed of sub-rounded and sub-angular systems and Talus showed differences according to the terrain formation. Although the results of the rebound strain measurement using a Schmidt's hammer did not shown any difference in topographic conditions, it is determined that the rebound strain results reflected the underlying geological setting.

• Journal of Korea Water Resources Association
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• v.42 no.6
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• pp.465-480
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• 2009

In this study, single and multiple linear regression model were used to derive the relationship between precipitation and altitude, latitude and longitude in Jejudo. The single linear regression analysis was focused on whether orographic effect was existed in Jejudo by annual average precipitation, and the multiple linear regression analysis on whether orographic effect was applied to each duration and return period of quantile from regional frequency analysis by index flood method. As results of the regression analysis, it shows the relationship between altitude and precipitation strongly form a linear relationship as the length of duration and return period increase. The multiple linear regression precipitation estimates(which used altitude, latitude, and longitude information) were found to be more reasonable than estimates obtained using altitude only or altitude-latitude and altitude-longitude. Especially, as results of spatial distribution analysis by kriging method using GIS, it also provides realistic estimates for precipitation that the precipitation was occurred the southeast region as real climate of Jejudo. However, the accuracy of regression model was decrease which derived a short duration of precipitation or estimated high region precipitation even had long duration. Consequently the other factor caused orographic effect would be needed to estimate precipitation to improve accuracy.

• Journal of Korean Society of Rural Planning
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• v.27 no.1
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• pp.103-116
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• 2021

The purpose of this study is to analyze and diagnose the actual state of extinction risk in rural villages by analyzing time series population characteristics and extinction risk index of rural villages(Haengjeong-ri). As a research method, a time series analysis was performed on the 'population over 65' and the 'female population aged 20 to 39' related to the local extinction index. In addition, the disappearance of Haengjeong-ri village was analyzed using the existing local extinction index. For the study, Haengjeong-ri village-level GIS spatial data was constructed, and population attribute data in 2010, 2015, and 2020 were constructed. In order to derive implications, the change of the 'high risk of extinction 'village in the 2020 local extinction index, the distribution of the population of 'high risk of extinction' villages by three years, the population analysis of 'high risk of extinction' villages continuously from 2010 to 2020, and 'high risk of extinction' An analysis of the increase and decrease of the population of the village and the change of the local extinction index of Haengjeong-ri, where the city, county, and towns are located were analyzed. As a result of the analysis of this study, it was found that the number of villages with an aging of more than 50% increased by 2 to 3 times over 10 years. As a result of the analysis of the local extinction index, in 2010, the southwestern and central regions of South Chungcheongnam-do were high-risk extinction areas, but in 2020, all cities except Cheonan and Asan were converted to high risk extinction areas. Research has shown that Chungnam is facing a serious aging and village extinction crisis, and since the disappearance of villages gradually spreads, an initial response policy is needed. This result will be the same not only in Chungcheongnam-do but also in other rural villages. Therefore, in the case of rural villages, it is necessary to analyze and diagnose the Haengjeong-ri village unit, not the Eup-Myeon unit, and a response policy through diagnosis must be prepared urgently.