• Spatial Information Research
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• v.18 no.1
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• pp.27-37
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• 2010

As a pilot project of the National Spatial Data Infrastructure, "Quality upgrade of continuous cadastral map and Conversion of land use zoning map" is performed last year. In this study, for the following main project, its result is analyzed and problems occurred on the way carried out are extracted. The area change before and after conversion is compared, and relationship with the continuous cadastral map is analysed on the data of Ansung-Si. And than, systematic improvement method is suggested based on that problem.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.6_2
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• pp.611-623
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• 2013

Point cloud data (i.e., LiDAR; Light Detection and Ranging) collected by Airborne Laser Scanner (ALS) system is one of the major sources for surface reconstruction including DEM generation, topographic mapping and object modeling. Recently, demand and requirement of the accurate and realistic Digital Building Model (DBM) increase for geospatial platforms and spatial data infrastructure. The main issues in the object modeling such as building and city modeling are efficiency of the methodology and quality of the final products. Efficiency and quality are associated with automation and accuracy, respectively. However, these two factors are often opposite each other. This paper aims to introduce correction scheme of incorrectly determined Model Key Points (MKPs) regardless of the segmentation method. Planimetric and height locations of the MKPs were refined by surface patch fitting based on the Least-Squares Solution (LESS). The proposed methods were applied to the synthetic and real LiDAR data. Finally, the results were analyzed by comparing adjusted MKPs with the true building model data.

• Proceedings of the Korean Geotechical Society Conference
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• 2002.10a
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• pp.499-506
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• 2002

The purpose of this study is to develop landslide susceptibility analysis techniques using artificial neural networks and to apply the newly developed techniques for assessment of landslide susceptibility to the study area of Yongin in Korea. Landslide locations were identified in the study area from interpretation of aerial Photographs and field survey data, and a spatial database of the topography, soil type and timber cover were constructed. The landslide-related factors such as topographic slope, topographic curvature, soil texture, soil drainage, soil effective thickness, timber age, and timber diameter were extracted from the spatial database. Using those factors, landslide susceptibility and weights of each factor were analyzed by two artificial neural network methods. In the first method, the landslide susceptibility index was calculated by the back propagation method, which is a type of artificial neural network method. Then, the susceptibility map was made with a GIS program. The results of the landslide susceptibility analysis were verified using landslide location data. The verification results show satisfactory agreement between the susceptibility index and existing landslide location data. In the second method, weights of each factor were determinated. The weights, relative importance of each factor, were calculated using importance-free characteristics method of artificial neural networks.

• Journal of Cadastre & Land InformatiX
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• v.46 no.2
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• pp.5-25
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• 2016

The purpose of this study develops the methodology to extract the poor deprived districts using the data from the national spatial data infrastructure portal. Particularly this study tries to select more acute indicators and to test the operability of such indicators. Also this study is focused on the versatile methodology that can be adjusted to incorporate alternative indicators that might be appropriate according to the hierarchy of the spatial unit. The indicator sets are composed of three dimensions: the poor class, the poor old housing, and poor residential neighborhood environment. Each representative indicator is selected based on the characteristics of the poor deprived districts. As a result, at the level of administrative Dong, key indicators for extracting the poor deprived districts are number of recipients of national basic living security per thousand persons and ratio of households living at old detached house. At the level of the national based zip code district, the ratio of buildings built on parcels located at roads below 4m in width, the ratio of small parcels below $60m^2$ and the ratio of poor old buildings are very important indicators. The result of grid analysis by overlaying the coverage of multiple indicators shows that relatively more vulnerable and deprived districts can be extracted at the small sub-district level. This study suggests the possibility to create the high value-added information, using the data from the national spatial data infrastructure portal. This methodology enables policymakers to select the priority target districts of poor deprived district more effectively.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.04a
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• pp.383-386
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• 2003

이 연구는 주변국의 국가지도제작기관을 분석하고, 측량 및 지도제작을 위한 수치제작 체계 즉, 수치자료기반을 제작하기 위한 체계를 분석하고자 하는 것

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.289-311
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• 2004

The purpose of this study is to analyze the optimal development direction of the land management information systems in Korea. In order to produce a new LMIS model the existing model of Tulloch(1996) was evaluated. Analysis of the land management information systems(LMIS) is focused on the period of 1998 and 2001. The main results of the study are as follows: First, the government should involve GIS(Geographic Information Systems) into the e-government. Second, the KLIS(Korea Land Information Systems) is required technological and legal infrastructure for the service using optimized land management information systems as combining LMIS and PBLIS(Parcel based Land Information Systems). Third, the spatial data of the LMIS can be promoted by ensuring reliable IT environments. Forth, optimized LMIS should be revised to reflect the new technological environment and collaborative relationship between LIS and GIS boundaries and between LMIS, urban infrastructure, and related information sectors. Fifth, In terms of services LMIS is required focusing end users rather than supplier focused strategy.

• The Journal of the Korea Contents Association
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• v.7 no.4
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• pp.39-48
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• 2007

Ad hoc network is a wireless network without fixed base stations or any wired backbone infrastructure. In the DUDMAC protocol, ORTS and OCTS in control channel solve the problem of deafness and DDATA and DACK in data channel improve spatial reuse by using the efficient blocking algorithm for directional antennas. In this paper, we propose the PCDUDMAC (Power Controlled DUDMAC) protocols. In the PCDUDMAC protocol, the power control of DATA/DACK in data channel saves transmission power and improves spatial reuse. We confirm the throughput performance of the proposed MAC protocol by computer simulations using Qualnet ver.3.8 simulator.

• Journal of Environmental Science International
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• v.25 no.12
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• pp.1653-1660
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• 2016

Drought is a reoccurring worldwide natural hazard that affects not only food production but also economics, health, and infrastructure. Drought monitoring is usually performed with precipitation-based indices without consideration of the actual state and amount of the land surface properties. A drought index based on the actual evapotranspiration can overcome these shortcomings. The severity of a drought can be quantified by making a spatial map. The procedure for estimating actual evapotranspiration is costly and complicated, and requires land surface information. The possibility of utilizing drone-driven remotely sensed data for actual evapotranspiration estimation was analyzed in this study. A drone collected data was used to calculate the normalized difference vegetation index (NDVI) and soil-adjusted vegetation index (SAVI). The spatial resolution was 10 m with a grid of $404{\times}395$. The collected data were applied and parameterized to an actual evapotranspiration estimation. The result shows that drone-based data is useful for estimating actual evapotranspiration and the corresponding drought indices.

• Journal of Korea Spatial Information System Society
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• v.11 no.3
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• pp.40-45
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• 2009

In September, 2008, the government has amended the National Territory Planning Act" by adding criteria to designate the Impact Fee Zone on the basis of the increase rate of the development permit. Since the permits are issued to scattered parcels on the individual basis, however, it renders significant difficulties in accurately figuring out the finite local areas that exceed such legal criteria. This study, in this context, tries to join the development permit time-series data with the Korea Land Information System (KLIS) so that, with the aid of the landform layer and existing infrastructure layer, it could pinpoint the local area where the development activities are concentrating. Taking a sector in Yangpyong County as the case, the study practically demonstrates as to how the designation process is geospatially processed.

• Journal of the Korean Geosynthetics Society
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• v.22 no.3
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• pp.105-117
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• 2023

The recent global energy supply crisis has led to increased uncertainty in international energy markets. These market changes lead to a rise in global energy prices and development is expanding to the extreme cold regions (Arctic Circle) where undeveloped energy resources are abundantly stored. Arctic Circle has a special business environment such as natural environment, laws, institutions and culture, research on location evaluation of development areas is necessary in advance. In this study, the spatial information of Alberta, Canada, where non-traditional energy resource development activities have recently been active, was collected and analyzed. In addition, an optimal location evaluation model for resource development was developed using construction environment spatial information data and the reliability is verified by comparing and analyzing the existing resource development areas.