• Title/Summary/Keyword: GIS mapping

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Development of Mapping Method for Liquefaction Hazard in Moderate Seismic Region Considering the Uncertainty of Big Site Investigation Data (빅데이터 지반정보의 불확실성을 고려한 중진지역에서의 액상화 위험도 작성기법 개발)

  • Kwak, Minjung;Ku, Taijin;Choi, Jaesoon
    • Journal of the Korean GEO-environmental Society
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    • v.16 no.1
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    • pp.17-27
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    • 2015
  • Recently, Korean government has tried out to set up earthquake hazards prevention system. In the system, several geotechnical hazard maps including liquefaction hazard map and landslide hazard map for the whole country have drawn to consider the domestic seismic characteristics. To draw the macro liquefaction hazard map, big data of site investigations in metropolitan areas and provincial areas has to be verified for its application. In this research, we carried out site response analyses using 522 borehole site investigation data in S city during a desirable earthquake. The soil classification was separately compared to shear wave velocity considering the uncertainty of site investigation data. Probability distribution and statistical analysis for the results of site response analyses was applied to the feasibility study. Finally, we suggest a new site amplification coefficient, hereby presented with the similar results of liquefaction hazard mapping using the calculated liquefaction potential index by the site response analyses. Above-mentioned study will be expected to help to follow research and draw liquefaction hazard map in moderate seismic region.

Application of Geographic Information Systems for Effective Management of University Forests (대학연습림의 효율적 관리를 위한 지리정보시스템의 활용방안)

  • Kwon, Taeho;Kim, Taekyun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.2 no.3
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    • pp.81-90
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    • 1999
  • The functional change of university forest have led to need more complicated techniques for forest management strategies, and more information about forest and natural environment. Therefore the systematic tools, like the so-called Forest Information System to which apply the techniques of geographic information system, are eagerly required for collecting, editing, managing, analyzing the various data about forest and environment, and for supporting the decision-making process. The digital mapping, which could be a primary step to construct the Forest Information System, was carried out using the many kinds of thematic spatial data referring to the Seongju Experimental Forest of Taegu University. As a result, various digital maps including forest type, soil type and so on were constructed. And then we made an user-interface system to link the attributive data in management plan to the thematic spatial data. This system was regarded as the effective tool capable of the more rapid query, analysis and update of related data for systematic management of university forest. Moreover, it would be a useful tool of decision-making in devising, assessing and operating the plan of forest management and development. But there would be much room for supplementation and improvement to make the more convenient and powerful system for the external demands, therefore more concerns and efforts in collecting, revising and updating the data is continuously required.

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A Study on Mapping Forest Fire Risk Using Combustion Characteristic of Forest Fuels : Focusing on Samcheok in Gangwon-do (산불연료의 연소특성을 활용한 산불위험지도 작성에 관한 연구 : 강원도 삼척 시를 중심으로)

  • Lee, Haepyeong;Park, Youngju
    • Journal of the Society of Disaster Information
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    • v.13 no.3
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    • pp.296-304
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    • 2017
  • In order to predict about forest fire behavior we constructed a database for combustion characteristic of forest fuels in Samcheok, Gangwon-do and prepared fire risk map and fire risk rating using GIS method in this study. For the mapping autoignition temperature, ignition time, flame duration time, total heat release and total smoke release are selected as the standardized parameters and the overall risk rating was made up of the ignition risk parameters(autoignition temperature, ignition time) and the spread risk parameters(flame duration time, total heat release, total smoke release). Forest fire risk was classified into 5 grades and lower grade of fire risk rating mean to correspond to more dangerous forest fire. As a result, the overall risk rating of Samcheok was classified into three grades from 1 to 3 and Nogok-myeon and Miro-myeon were turned out the most dangerous areas for forest fire. Because of the colony of pine and oak trees and the higher fire loads, the flame propagation will be carried out quickly in these areas.

Correlations of Earthquake Accelerations and LPIs for Liquefaction Risk Mapping in Seoul & Gyeonggi-do Area based on Artificial Scenarios (서울, 경기지역의 시나리오별 액상화 위험지도 작성을 위한 지진가속도와 LPI 상관관계 분석)

  • Baek, Woohyun;Choi, Jaesoon
    • Journal of the Korean GEO-environmental Society
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    • v.20 no.5
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    • pp.5-12
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    • 2019
  • On November 15, 2017, a unpredictable liquefaction damage was occurred at the $M_L=5.4$ Pohang earthquake and after, many researches have been conducted in Korea. In Korea, where there were no cases of earthquake damage, it has been extremely neglectable in preparing earthquake risk maps and building earthquake systems that corresponded to prevention and preparation. Since it is almost impossible to observe signs and symptoms of drought, floods, and typhoons in advance, it is very effective to predict the impacts and magnitudes of seismic events. In this study, 14,040 borehole data were collected in the metropolitan area and liquefaction evaluation was performed using the amplification factor. Based on this data, liquefaction hazard maps were prepared for ground accelerations of 0.06 g, 0.14 g, 0.22 g, and 0.30 g, including 200years return period to 4,800years return period. Also, the correlation analysis between the earthquake acceleration and LPI was carried out to draw a real-time predictable liquefaction hazard map. As a result, 707 correlation equations in every cells in GIS map were proposed. Finally, the simulation for liquefaction risk mapping against artificial earthquake was performed in the metropolitan area using the proposed correlation equations.

Conversion of Camera Lens Distortions between Photogrammetry and Computer Vision (사진측량과 컴퓨터비전 간의 카메라 렌즈왜곡 변환)

  • Hong, Song Pyo;Choi, Han Seung;Kim, Eui Myoung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.4
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    • pp.267-277
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    • 2019
  • Photogrammetry and computer vision are identical in determining the three-dimensional coordinates of images taken with a camera, but the two fields are not directly compatible with each other due to differences in camera lens distortion modeling methods and camera coordinate systems. In general, data processing of drone images is performed by bundle block adjustments using computer vision-based software, and then the plotting of the image is performed by photogrammetry-based software for mapping. In this case, we are faced with the problem of converting the model of camera lens distortions into the formula used in photogrammetry. Therefore, this study described the differences between the coordinate systems and lens distortion models used in photogrammetry and computer vision, and proposed a methodology for converting them. In order to verify the conversion formula of the camera lens distortion models, first, lens distortions were added to the virtual coordinates without lens distortions by using the computer vision-based lens distortion models. Then, the distortion coefficients were determined using photogrammetry-based lens distortion models, and the lens distortions were removed from the photo coordinates and compared with the virtual coordinates without the original distortions. The results showed that the root mean square distance was good within 0.5 pixels. In addition, epipolar images were generated to determine the accuracy by applying lens distortion coefficients for photogrammetry. The calculated root mean square error of y-parallax was found to be within 0.3 pixels.

Automatic Construction of Deep Learning Training Data for High-Definition Road Maps Using Mobile Mapping System (정밀도로지도 제작을 위한 모바일매핑시스템 기반 딥러닝 학습데이터의 자동 구축)

  • Choi, In Ha;Kim, Eui Myoung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.3
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    • pp.133-139
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    • 2021
  • Currently, the process of constructing a high-definition road map has a high proportion of manual labor, so there are limitations in construction time and cost. Research to automate map production with high-definition road maps using artificial intelligence is being actively conducted, but since the construction of training data for the map construction is also done manually, there is a need to automatically build training data. Therefore, in this study, after converting to images using point clouds acquired by a mobile mapping system, the road marking areas were extracted through image reclassification and overlap analysis using thresholds. Then, a methodology was proposed to automatically construct training data for deep learning data for the high-definition road map through the classification of the polygon types in the extracted regions. As a result of training 2,764 lane data constructed through the proposed methodology on a deep learning-based PointNet model, the training accuracy was 99.977%, and as a result of predicting the lanes of three color types using the trained model, the accuracy was 99.566%. Therefore, it was found that the methodology proposed in this study can efficiently produce training data for high-definition road maps, and it is believed that the map production process of road markings can also be automated.

Calculation of Sediment Volume of the Agriculture Reservoir Using DGPS Echo-Sounder (DGPS 음향 측심기를 이용한 농업용 저수지의 퇴적량 산정)

  • Park Seung-Ki;Jeong Jae- Hoon
    • Spatial Information Research
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    • v.13 no.3 s.34
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    • pp.297-307
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    • 2005
  • This study was performed to get the basic data for the dredging project and logical maintenance of the Yaedang reservoir. The survey of reservoir capacity for calculation of sediment volume carried out using DGPS Echo-Sounder during November $25\~30$ in 2004. The latitude and longitude signal from GPS satellite was received a second interval with the UTM coordinate system. Water depth was measured 0.2 second interval by Echo-sounder sensor in MIDAS Surveyor. The UTM coordinate datum were transformed into standard coordinate datum of Korean(TM coordinate datum) using Arc Info System. Mapping of contour was used Sufer, Arc View and Auto CAB Program Storage capacity of Yaedang reservoir was estimated by average contour area method. Result of this time investigation for useful storage determination of Yaedang reservoir was showed 4,601.585 ha-m and was differenced less 5.425ha-m the bygones useful storage.

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Modelling of a Spatial Distribution of the Species Richness of Fishes, Plants, and Birds Using Environmental Factors on a Wide-Ranging Scale1 - Focusing on the Major Drainage Systems in Japan - (광역스케일의 환경 인자를 이용한 어류, 식물, 조류 종수의 공간적 분포에 대한 모델링 - 일본의 주요수계를 중심으로 -)

  • Han, Mi-Deok;Lee, Gi-Bae
    • Korean Journal of Environment and Ecology
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    • v.22 no.4
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    • pp.347-355
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    • 2008
  • This study analyzed and modeled the relationships between the species richness of fish, plant, and bird and environmental factors such as climatic and geographical variables based on data collected from 109 major drainage systems in Japan from 1990 until 2005. As a result, the most parts of the distributions of the fish, plant, and bird species richness were clarified by the average annual atmospheric temperature, dimension of drainage areas, and annual rainfall, respectively. In addition, this study predicted the value of each organism species distributed in national drainage areas in Japan using GAMs(Generalized Additive Models) for each organism model created by environmental factors on a wide-ranging scale, and also mapped out the value. Mapping out the predicted value could make it easier for its managers to newly set up the areas needing to be protected to obtain diversity of the organism species and to assess their availability of conservation for bio-diversity.

1/10,000 Scale Digital Mapping using High Resolution Satellite Images (고해상도 위성영상을 이용한 축척 1/10,000 수치지도 제작)

  • Lee, Byung-Hwan;Kim, Jeong-Hee;Park, Kyung-Hwan;Chung, Il-Hoon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.2
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    • pp.11-23
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    • 2000
  • The subjects of this study are to examine and to apply the methods of making 1 : 10,000 scale digital maps using Russian's 2 m resolution satellite images of Alternative and 8 m resolution stereo satellite images of MK-4 for the Kyoha area of Paju-city where aerial-photo surveying is not possible. A digital elevation model (DEM) was calculated from MK-4 images. With this DEM, the Alternative images were orthorectified. Ground control points (GCP) were acquired from GPS surveyings and were used to perform geometric corrections on Alternative images. From field investigation, thematic attributes are digitized on the monitor. RMS errors of the planar and vertical positions are estimated to ${\pm}0.4$ m and ${\pm}15$ m, respectively. The planar accuracy is better than an accuracy required by NGIS (national GIS) programs. Local information from field investigation was added and the resulting maps should be good as base maps for, such as, regional and urban plannings.

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A Study on the Open Platform Architecture for the Integrated Utilization of Spatial Information and Statistics (공간정보와 통계정보의 융합 활용을 위한 오픈플랫폼 아키텍처에 관한 연구)

  • Kim, Min-Soo;Yoo, Jeong-Ki
    • Journal of Cadastre & Land InformatiX
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    • v.46 no.2
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    • pp.211-224
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    • 2016
  • Based on the 'Government 3.0', the government opens the public data and encourages the active use in the private sector. Recently, the spatial and statistical information that is one of the public data is being widely used in the various web business as a high value-added information. In this study, we propose an architecture of high-availability, high-reliability and high-performance open platform which can provide a variety of services such as searching, analysis, data mining, and thematic mapping. In particular, we present two different system architectures for the government and the public services, by reflecting the importance of the information security and the respective utilization in the private and public sectors. We also compared a variety of server architecture configurations such as a clustered server configuration, a cloud-based virtual server configuration, and a CDN server configuration, in order to design a cost- and performance-effective spatial-statistical information open platform.