• 제목/요약/키워드: Korean Spatial Information System

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Utilization of Spatial Weather Information System for Effective Air Operations

  • Kim, Young-Hae;Yoon, Soungwoong;Lee, Sang-Hoon
    • 한국컴퓨터정보학회논문지
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    • 제23권4호
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    • pp.139-145
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    • 2018
  • In this paper, we propose the methodology and system to show weather information to spatial system. When using the spatial information system, it is easy and convenient to show information such as target location, mission contents, enemy threats and so on. However, drawing 1-dimensional weather information on 3-dimensional space in spatial information system is hard task. To fuse data, we need to add a spatial layer including weather information to spatial layers and perform space modeling for showing weather information as spatial data in a virtual space. The virtual space is shown by receiving meteorological data and then changing in real time through weather database linkage.

GIS를 기반으로한 실시간 실내공간관리 시스템 개발 - COEX Test Bed - (A Strategy to Improve Customer Service for Apartment Building Units)

  • 나기도;이광국;김회율;김재준
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2009년도 추계 학술논문 발표대회
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    • pp.269-272
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    • 2009
  • The environment of Ubiquitous in terms of improvement is being expanded to various fields and time enabled system. Thus, a real-time spatial information management system has been developed by integrating a human movement detection system into a SICS(Spatial Information Control System) engine that can integrally manage inside spatial information extracted from 3D CAD and outside spatial information of GIS. The add-on program was developed to extract spatial information necessary for the SICS engine from 3D CAD information, and a human movement detection system was developed. Test bed was operated for 2weeks and indoor human flow information was found out by zone. Also, the direction of future research was decided through a test bed.

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A Technology for Integration of Spatial Information Services using Web Registry Services

  • Kim, Mi-Jeong;Lee, Eun-Kyu;Oh, Byoung-Woo;Jang, Byung-Tae
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.621-624
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    • 2003
  • Recently, there has been rising concerns to integrate and connect a developed spatial information services without consideration of location in the heterogeneous distributed environment. The Open GIS Consortium provides system architecture model related to open web service for spatial information. This paper discusses the issues related to the web service framework for spatial information services using standards of Open GIS Consortium. In particular, we concentrate upon the WRS that support the runtime discovery and evaluation of resources. The technology for integration of spatial information services is expected to get synergy effect and overcomes limit of individual development of each spatial information technology. Also this system provides the interoperability and the reusability and prevents the duplication development of system.

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Comparison of Land Surface Temperature Algorithm Using Landsat-8 Data for South Korea

  • Choi, Sungwon;Lee, Kyeong-Sang;Seo, Minji;Seong, Noh-Hun;Jin, Donghyun;Jung, Daeseong;Sim, Suyoung;Jung, Im Gook;Han, Kyung-Soo
    • 대한원격탐사학회지
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    • 제37권1호
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    • pp.153-160
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    • 2021
  • Land Surface Temperature (LST) is the radiological surface temperature which observed by satellite. It is very important factor to estimate condition of the Earth such as Global warming and Heat island. For these reasons, many countries operate their own satellite to observe the Earth condition. South Korea has many landcovers such as forest, crop land, urban. Therefore, if we want to retrieve accurate LST, we would use high-resolution satellite data. In this study, we made LSTs with 4 LST retrieval algorithms which are used widely with Landsat-8 data which has 30 m spatial resolution. We retrieved LST using equations of Price, Becker et al. Prata, Coll et al. and they showed very similar spatial distribution. We validated 4 LSTs with Moderate resolution Imaging Spectroradiometer (MODIS) LST data to find the most suitable algorithm. As a result, every LST shows 2.160 ~ 3.387 K of RMSE. And LST by Prata algorithm show the lowest RMSE than others. With this validation result, we choose LST by Prata algorithm as the most suitable LST to South Korea.

Solutions for the Location-Based Services

  • Kim, K.H.;Hong, S.G.;Park, J.H.;Lee, J.H.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.651-653
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    • 2003
  • As a result of the project 'Development of core technology for open LBS', we developed several solutions such as personal navigation system, mobile game, and emergency system. In this paper, we explain the approach and architecture of these solutions and consider their meaning on spatial information bases and expectation in the future computing environments. The final goal of this suggested solution is to test the efficiency of our open LBS system and verify the applicability and usability in real application environments. Our approaches will be headed to the future ubiquitous computing environments.

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공간 데이터 분석을 위한 공간 연관 규칙 탐사 시스템의 설계 및 구현 (Design and Implementation of Spatial Association Rule Discovery System for Spatial Data Analysis)

  • 안찬민;이윤석;박상호;이주홍
    • 한국컴퓨터정보학회논문지
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    • 제11권1호
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    • pp.27-34
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    • 2006
  • 최근 공간 정보들을 효과적으로 이용할 수 있는 기술에 대한 연구가 활발하게 이루어지고 있다. 효율적인 지식 탐사를 위해 다양한 기존의 데이터 마이닝 방법들이 확장되어 공간 데이터 마이닝에 사용되고 있다. 그러나 기존의 공간 연관 규칙 탐사 시스템들은 프레디킷 간의 연산을 통해 규칙을 발견함에 따라 질의 결과에 다양한 비공간 속성들을 반영하지 못하는 문제점을 가지고 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 공간 데이터베이스에서 사용되는 질의를 확장하고, 위상정보에 따른 데이터를 구성한 후 비공간 객체 속성간의 연관 규칙을 발견하는 시스템을 제안한다. 특히 지리 정보 시스템에 적용 가능한 모델을 구현하였다. 이렇게 구현된 시스템은 사용 중인 공간 데이터베이스를 확장하므로 이식성이 뛰어나고, 공간 속성뿐만 아니라 다양한 비공간 속성을 고려함으로써 좀 더 실생활에 유용한 공간 연관 규칙을 발견할 수 있다.

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Spatial Gap-Filling of Hourly AOD Data from Himawari-8 Satellite Using DCT (Discrete Cosine Transform) and FMM (Fast Marching Method)

  • Youn, Youjeong;Kim, Seoyeon;Jeong, Yemin;Cho, Subin;Kang, Jonggu;Kim, Geunah;Lee, Yangwon
    • 대한원격탐사학회지
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    • 제37권4호
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    • pp.777-788
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    • 2021
  • Since aerosol has a relatively short duration and significant spatial variation, satellite observations become more important for the spatially and temporally continuous quantification of aerosol. However, optical remote sensing has the disadvantage that it cannot detect AOD (Aerosol Optical Depth) for the regions covered by clouds or the regions with extremely high concentrations. Such missing values can increase the data uncertainty in the analyses of the Earth's environment. This paper presents a spatial gap-filling framework using a univariate statistical method such as DCT-PLS (Discrete Cosine Transform-based Penalized Least Square Regression) and FMM (Fast Matching Method) inpainting. We conducted a feasibility test for the hourly AOD product from AHI (Advanced Himawari Imager) between January 1 and December 31, 2019, and compared the accuracy statistics of the two spatial gap-filling methods. When the null-pixel area is not very large (null-pixel ratio < 0.6), the validation statistics of DCT-PLS and FMM techniques showed high accuracy of CC=0.988 (MAE=0.020) and CC=0.980 (MAE=0.028), respectively. Together with the AI-based gap-filling method using extra explanatory variables, the DCT-PLS and FMM techniques can be tested for the low-resolution images from the AMI (Advanced Meteorological Imager) of GK2A (Geostationary Korea Multi-purpose Satellite 2A), GEMS (Geostationary Environment Monitoring Spectrometer) and GOCI2 (Geostationary Ocean Color Imager) of GK2B (Geostationary Korea Multi-purpose Satellite 2B) and the high-resolution images from the CAS500 (Compact Advanced Satellite) series soon.