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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 19, Issue 4 - Dec 2011
Volume 19, Issue 3 - Sep 2011
Volume 19, Issue 2 - Jun 2011
Volume 19, Issue 1 - Mar 2011
Selecting the target year
A Study of 3D Modeling of Compressed Urban LiDAR Data Using VRML
Jang, Young-Woon ; Choi, Yun-Woong ; Cho, Gi-Sung ;
Journal of Korean Society for Geospatial Information System, volume 19, issue 2, 2011, Pages 3~8
Recently, the demand for enterprise for service map providing and portal site services of a 3D virtual city model for public users has been expanding. Also, accuracy of the data, transfer rate and the update for the update for the lapse of time emerge are considered as more impertant factors, by providing 3D information with the web or mobile devices. With the latest technology, we have seen various 3D data through the web. With the VRML progressing actively, because it can provide a virtual display of the world and all aspects of interaction with web. It offers installation of simple plug-in without extra cost on the web. LiDAR system can obtain spatial data easily and accurately, as supprted by numerous researches and applications. However, in general, LiDAR data is obtained in the form of an irregular point cloud. So, in case of using data without converting, high processor is needed for presenting 2D forms from point data composed of 3D data and the data increase. This study expresses urban LiDAR data in 3D, 2D raster data that was applied by compressing algorithm that was used for solving the problems of large storage space and processing. For expressing 3D, algorithm that converts compressed LiDAR data into code Suited to VRML was made. Finally, urban area was expressed in 3D with expressing ground and feature separately.
Proposal of Feature Classification System for Land Change Detection
Park, Jun-Ku ; Noh, Myoung-Jong ; Cho, Woo-Sug ; Bang, Ki-In ;
Journal of Korean Society for Geospatial Information System, volume 19, issue 2, 2011, Pages 9~17
For the exact status of the land such as land cover classification and land use classification, feature classification system has been utilized in several organizations and agencies. However, those classification systems are limited to detection of land change and it's also not suited for the extraction of land changed. In this study, we would proposed a standard feature classification system which presents both in natural and artificial change of land effectively. Based on comparison and analysis of domestic and foreign relevant feature classification system, we proposed a standard feature classification system. In order to validate the applicability of the proposed feature classification system, we evaluated the accuracy with using automatic feature classification based on supervised classification and pre-knowledge hierarchical classification.
The Effect of Climate Data Applying Temperature Lapse Rate on Prediction of Potential Forest Distribution
Lee, Sang-Chul ; Choi, Sung-Ho ; Lee, Woo-Kyun ; Yoo, Seong-Jin ; Byun, Jae-Gyun ;
Journal of Korean Society for Geospatial Information System, volume 19, issue 2, 2011, Pages 19~27
The objective of this study was to suggest technical approaches for preparation and down scaling of climate data used for predicting the potential forest distribution. To predict the forest distribution, we employed a Korean-specific forest distribution model, so-called the TAG(Thermal Analogy Group), and defined the PFT(Plant Functional Types) based on the HyTAG(Hydrological and Thermal Analogy Group). The climate data with 20km spatial resolution were interpolated to fit on the input data format with 1km spatial resolution. Two potential forest distribution maps were estimated using climate data constructed by kriging, one of the interpolation and down-scaling approaches, with and without lapse rate considered. Through the verification process by comparing two potential maps with the actual vegetation map, the forest distribution using the lapse rate was proven to be 38% more accurate.
Study on Regional Spatial Autocorrelation of Forest Fire Occurrence in Korea
Kim, Moon-Il ; Kwak, Han-Bin ; Lee, Woo-Kyun ; Won, Myoung-Soo ; Koo, Kyo-Sang ;
Journal of Korean Society for Geospatial Information System, volume 19, issue 2, 2011, Pages 29~37
Forest fire in Korea has been controlled by local government, so that it is required to understand the characteristics of regional forest fire occurrences for the effective management. In this study, to analyze the patterns of regional forest fire occurrences, we divided South Korea into nine zones based on administrative boundaries and performed spatial statistical analysis using the location data of forest fire occurrences for 1991-2008. The spatial distributions of forest fire were analyzed by the variogram, and the risk of forest fire was predicted by kriging analysis. As a result, forest fires in metropolitan areas showed strong spatial correlations, while it was hard to find spatial correlations of forest fires in local areas without big city as Gangwon-do, Chungcheongbuk-do and Jeju island.
Estimation of Aboveground Biomass Carbon Stock Using Landsat TM and Ratio Images -
NN algorithm and Regression Model Priority
Yoo, Su-Hong ; Heo, Joon ; Jung, Jae-Hoon ; Han, Soo-Hee ; Kim, Kyoung-Min ;
Journal of Korean Society for Geospatial Information System, volume 19, issue 2, 2011, Pages 39~48
Global warming causes the climate change and makes severe damage to ecosystem and civilization Carbon dioxide greatly contributes to global warming, thus many studies have been conducted to estimate the forest biomass carbon stock as an important carbon storage. However, more studies are required for the selection and use of technique and remotely sensed data suitable for the carbon stock estimation in Korea In this study, the aboveground forest biomass carbon stocks of Danyang-Gun in South Korea was estimated using
-Nearest Neighbor) algorithm and regression model, then the results were compared. The Landsat TM and 5th NFI(National Forest Inventory) data were prepared, and ratio images, which are effective in topographic effect correction and distinction of forest biomass, were also used. Consequently, it was found that
NN algorithm was better than regression model to estimate the forest carbon stocks in Danyang-Gun, and there was no significant improvement in terms of accuracy for the use of ratio images.
Carbon Storage Estimation of Urban Area Using KOMPSAT-2 Imagery
Kim, Ki-Tae ; Cho, Jin-Woo ; Yoo, Hwan-Hee ;
Journal of Korean Society for Geospatial Information System, volume 19, issue 2, 2011, Pages 49~54
Recently Korean government announced the vision for low-carbon green growth. Quantifying of the carbon storage, distribution, and change of urban trees is vital to understanding the role of vegetation in the urban environment. In the city planning the carbon storage estimation has become an important factor. In this paper, KOMPSAT-2 satellite imagery was used to develop a method to predict the urban forest carbon storage from the Normalized Difference Vegetation Index (NDVI) computed from a time sequence image data. The total carbon storage change by trees in the 6 administrative zonings of Jinju was estimated using the image data in 2007 and 2009. Therefore the paper presents a method based on the satellite images, which can estimate the spread of urban tree and carbon storage variation using KOMPSAT-2.
Temperature Change Analysis for Land Use Zoning Using Landsat Satellite Imagery
Jung, Gil-Sub ; Koo, Seul ; Yoo, Hwan-Hee ;
Journal of Korean Society for Geospatial Information System, volume 19, issue 2, 2011, Pages 55~61
The land use has been changed artificially and caused the result of temperature increase of city compared with the outside of city or region of park and forest. The purpose of this research is to analyze the change of the urban surface temperature with land use zoning in Jinju using Landsat TM/
imagery and to provide the correlation between NDVI(Normalized Difference Vegetation Index) and urban surface temperature change. The results presented that the spatial distribution of urban surface temperature was depending on the change of NDVI values on land use zoning. Considering to the average temperature by land use zoning, industrial area was the highest temperature but green area was the lowest temperature. Also as a result of comparing the correlation between surface temperature and NDVI, the green and residential area had higher correlation values than the commercial and industrial area. These results will be played a part as one of the major factors for implementing the sustainable urban planning considering the urban heat island effect problem.
Development of Removal Techniques for PRC Outlier & Noise to Improve NDGPS Accuracy
Kim, Koon-Tack ; Kim, Hye-In ; Park, Kwan-Dong ;
Journal of Korean Society for Geospatial Information System, volume 19, issue 2, 2011, Pages 63~73
The Pseudorange Corrections (PRC), which are used in DGPS as calibration messages, can contain outliers, noise, and anomalies, and these abnormal events are unpredictable. When those irregular PRC are used, the positioning error gets higher. In this paper, we propose a strategy of detecting and correcting outliers, noise, and anomalies by modeling the changing pattern of PRC through polynomial curve fitting techniques. To validate our strategy, we compared positioning errors obtained without PRC calibation with those with PRC calibration. As a result, we found that our algorithm performs very well; the horizontal RMS error was 3.84 m before the correction and 1.49 m after the correction.
The Research of Effectively Matching Method of Building Objects to Register UFID
Moon, Yong-Hyun ; Park, Ki-Surk ; Choi, Seok-Keun ;
Journal of Korean Society for Geospatial Information System, volume 19, issue 2, 2011, Pages 75~83
After 1995, as a part of national geographic information system project, there are a lot of researches about combinations and connections of national geographic information system. However, systematic standard for combinations and connections of geographic information is uncertain, and each organization has different identification system which leads to difficulties in connection of geographic information system. This study suggests repeating method about geographic information objects to grant UFID based on national standards of geographic information system, and analyzes the repeating rate.