• 제목/요약/키워드: Spatial Environmental Data

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공간환경계획 수립을 위한환경정보의 체계화와 개선방안 (Systematizing and Improving of Spatial Environment Data for the Establishment of Spatial Environment Planning)

  • 엄정희;최희선;이길상
    • 환경정책연구
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    • 제9권2호
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    • pp.111-133
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    • 2010
  • 환경정책기본법에 근거하여 수립되는 환경보전계획은 친환경적인 공간구축을 위한 활용 가능성과 잠재성에도 불구하고 선언적이면서 형식적인 계획으로 사실상 인지되고 있다. 이러한 인식의 중요한 요인 중의 하나는 공간개발과 직접적인 관련성이 있는 공간계획(도시기본계획 등)이나 도시개발계획과의 연계성을 확보하지 못한 것에 기인하며, 이는 공간환경계획이라는 계획 간의 연계수단의 필요성으로 종결된다. 이에 환경보전계획의 활용성과 계획 간의 연계성 확보를 위한 공간환경계획의 수립을 위해 선행되어야 할 공간환경정보의 체계화를 제안하고자 하며, 이를 위해 기존의 환경정보를 파악하고 공간환경계획과의 연계방안에 대해서 살펴보고자 하였다. 이와 관련해서 국가차원 및 지자체 차원에서 구축하고 있는 공간정보시스템을 살펴보고, 환경매체별로 활용 가능한 공간정보를 분류하였다. 또한 9개의 환경매체별로 공간환경계획에 포함될 수 있는 공간정보 및 계획 항목을 도출하여, 기존의 공간정보시스템, 공간환경 현황정보, 공간환경 관리계획으로 이어지는 연계체계를 구축하였다. 나아가, 공간환경계획 활성화를 위해 공간환경정보 구축에 관한 개선사항을 제안하였다. 체계적인 공간정보 구축은 공간환경계획 수립을 용이하게 함으로써 환경보전계획을 강화하고 위상을 높임은 물론, 관련 공간계획과의 연계성 강화에도 기여할 것이다.

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Construction of Spatiotemporal Big Data Using Environmental Impact Assessment Information

  • Cho, Namwook;Kim, Yunjee;Lee, Moung-Jin
    • 대한원격탐사학회지
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    • 제36권4호
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    • pp.637-643
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    • 2020
  • In this study, the information from environmental impact statements was converted into spatial data because environmental data from development sites are collected during the environmental impact assessment (EIA) process. Spatiotemporal big data were built from environmental spatial data for each environmental medium for 2,235 development sites during 2007-2018, available from public data portals. Comparing air-quality monitoring stations, 33,863 measurement points were constructed, which is approximately 75 times more measurement points than that 452 in Air Korea's real-time measurement network. Here, spatiotemporal big data from 2,677,260 EIAs were constructed. In the future, such data might be used not only for EIAs but also for various spatial plans.

공간역학과 환경보건: 공간위치정보 활용에 대한 고찰 (Spatial Epidemiology and Environmental Health: On the Use of Spatially Referenced Health and Environment Data)

  • 한대권;황승식
    • 한국환경보건학회지
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    • 제37권1호
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    • pp.1-11
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    • 2011
  • Recent advances in Geographic Information Systems and spatial statistical and analytical methods, along with the availability of spatially referenced health and environmental data, have created unique opportunities to investigate spatial associations between environment exposures and health outcomes at multiple spatial scales and resolutions. However, the increased use of spatial data also faces challenges, one of which is to ensure certainty and accuracy of locational data that meets the needs of a study. This article critically reviews the use of spatially referenced data in epidemiologic studies, focusing on the issue of locational uncertainty generated from the process of geocoding health and environmental data. Primarily, major issues involving the use of spatially referenced data are addressed, including completeness and positional accuracy, potential source of bias and exposure misclassification, and implications for epidemiologic studies. The need for critical assessment and caution in designing and conducting spatial epidemiology studies is briefly discussed.

기후변화 적응 공간계획을 위한 도시, 환경, 방재 간 공간정보 연계·활용방안 (Linking and Utilizing Urban, Environmental, Disaster Prevention Spatial Data for a Climate Change Adaptation Spatial Planning)

  • 김태현
    • 환경정책연구
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    • 제14권1호
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    • pp.85-112
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    • 2015
  • 본 논문의 목적은 기후변화로 인한 재난으로부터 회복력이 높은 공간계획을 수립하기 위해 도시, 환경, 방재 분야 공간정보 현황을 분석하고 분야 간 공간정보 연계 활용방안을 제시하는 것이다. 이를 위해 문헌 자료 검토와 함께 관련 기관 담당자 전화 면접 인터뷰, 전문가 자문 등을 통해 분야별 공간계획 지침 및 공간정보 활용 현황을 파악하였다. 이러한 공간정보 조사결과를 통해 시 군 구 지자체 단위의 법정 공간계획 수립 시 각 분야에서 연계 활용 가능한 공간정보 목록을 도출하였다. 이러한 조사 결과를 바탕으로 기후변화 적응을 위한 공간계획 수립 시 도시, 환경, 방재 분야 간 공간정보 연계 및 정책적 활용 방안을 제시하였다.

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Study on Dimensionality Reduction for Sea-level Variations by Using Altimetry Data around the East Asia Coasts

  • Hwang, Do-Hyun;Bak, Suho;Jeong, Min-Ji;Kim, Na-Kyeong;Park, Mi-So;Kim, Bo-Ram;Yoon, Hong-Joo
    • 대한원격탐사학회지
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    • 제37권1호
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    • pp.85-95
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    • 2021
  • Recently, as data mining and artificial neural network techniques are developed, analyzing large amounts of data is proposed to reduce the dimension of the data. In general, empirical orthogonal function (EOF) used to reduce the dimension in the ocean data and recently, Self-organizing maps (SOM) algorithm have been investigated to apply to the ocean field. In this study, both algorithms used the monthly Sea level anomaly (SLA) data from 1993 to 2018 around the East Asia Coasts. There was dominated by the influence of the Kuroshio Extension and eddy kinetic energy. It was able to find the maximum amount of variance of EOF modes. SOM algorithm summarized the characteristic of spatial distributions and periods in EOF mode 1 and 2. It was useful to find the change of SLA variable through the movement of nodes. Node 1 and 5 appeared in the early 2000s and the early 2010s when the sea level was high. On the other hand, node 2 and 6 appeared in the late 1990s and the late 2000s, when the sea level was relatively low. Therefore, it is considered that the application of the SOM algorithm around the East Asia Coasts is well distinguished. In addition, SOM results processed by SLA data, it is able to apply the other climate data to explain more clearly SLA variation mechanisms.

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.

THE STUDY OF SPATIAL AND TEMPORAL VARIABILITY OF THE KUROSHIO EXTENSION USING REMOTE SENSING DATA WITH APPLICATION OF DATA-FUSION METHODS

  • Kim Woo-Jin;Park Gil- Yong;Lim Se-Han;OH Im-Sang
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.434-436
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    • 2005
  • Analysis method using remote sensing data is one of the effective ways to research a spatial and temporal variability of the mesoscale oceanic motions. During past several decades, many researchers have been getting comprehensive results using remote sensing data with application of data fusion methods in many parts of geo-science. For this study, we took the integration and fusion of several remote sensing data, which are different data resolution, timescale and characteristics, for improving accurate analysis of variation of the Kuroshio Extension. Furthermore, we might get advanced ways to understand the variability of the Kuroshio Extension, has close relation to the spatial and temporal variation of the Kuroshio and Oyashio Current.

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공간환경계획 측면에서의 환경보전계획의 문제점 및 개선방안 (Problems of Environmental Conservation Planning and its Improvement in Aspects of Spatial Environmental Planning)

  • 최희선;성현찬;엄정희
    • 한국환경복원기술학회지
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    • 제13권5호
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    • pp.123-134
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    • 2010
  • Environmental conservation planning as set forth in the "Framework Act for Environmental Policy" is a representative planning that demands linkages with spatial development planning like urban master plan. However, despite the intentions and efforts of government (including revision of relevant guidelines etc.), controversy still continues regarding the efficacy of environmental conservation planning in respect of its linkages to spatial development planning. Accordingly, this study was devised to examine existing issues and produce proposals for improvement in ensuring the efficacy of environmental conservation planning by local governments. This study focused in particular on the establishment of spatial environmental plans as suggested in the guidelines of the Ministry of Environment for the purposes of strengthening the efficacy of environmental conservation planning. Based of questionnaires for relevant officials of local governments, the study found that although local governments with established current spatial environmental plans are not numerous, the need for establishment of spatial environmental plans were high in terms of the applicability of environmental conservation and spatial plans. Furthermore, this study also confirmed through analysis of questionnaires data, archival research and case study research that there were a number of salient issues including an overly access and program centered planning method based on individual pollution sources and individual post factor measures in the planning aspect, a lack of usable spatial information in the application of spatial environmental information, and inadequate connections with spatial development planning in respect of linkages with other plans. Under these circumstances, various proposals for improvement were presented including the establishment of contents in environmental conservation planning for each urban master planning item from the standpoint of planning, strengthening of basic environmental surveys for spatial planning and preparation of applicable proposals from the perspective of leveraging of spatial environmental information, and systematic improvements that can enable mutual consideration through feedback between environmental conservation planning and urban master planning from the perspective of connections with spatial planning.

하천망분석도(KRF)의 활용성 증대를 위한 공간데이터 구조 개선에 관한 연구 (A Study on Redesign of Spatial Data Structure of Korean Reach File for Improving Adaptability)

  • 송현오;이혁;강태구;김경현;이재관;류덕희;정동일
    • 한국물환경학회지
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    • 제32권6호
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    • pp.511-519
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    • 2016
  • National Institute of Environmental Research (NIER) has developed the Korean Reach File (KRF) for scientific and systematic analysis of variables related to water quality, pollutant sources and aquatic ecosystems in consideration of steam reach networks. The KRF provides a new framework for data production, storage, management and analysis for water related variables in relation to spatial characteristics, connections, and topologies of stream reaches. However, the current version of KRF (ver.2) has limited applicability because its nodes include not only the stream points based on topological characteristics but also those based on water quality monitoring stations, which may undermine its generality. In this study, a new version of KRF (ver.3) was designed and established to overcome the weak point of version 2. The version 3 is a generalization of the old KRF graphic data and it integrates the attribute data while separating it from the graphic data to minimize additional work that is needed for data association and search. We tested the KRF (ver.3) on actual cases and convenience and adaptability for each application was verified. Further research should focus on developing a database link model and real-world applications that are targeted to process event data.

Exploratory Methodology for Acquiring Architectural Plans Based on Spatial Graph Similarity

  • Ham, Sungil;Chang, Seongju;Suh, Dongjun;Narangerel, Amartuvshin
    • Architectural research
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    • 제17권2호
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    • pp.57-64
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    • 2015
  • In architectural planning, previous cases of similar spatial program provide important data for architectural design. Case-based reasoning (CBR) paradigm in the field of architectural design is closely related to the designing behavior of a planner who makes use of similar architectural designs and spatial programs in the past. In CBR, spatial graph can be constituted with most fundamental data, which can provide a method of searching spatial program by using visual graphs. This study developed a system for CBR that can analyze the similarity through graph comparison and search for buildings. This is an integrated system that is able to compare space similarity of different buildings and analyze their types, in addition to the analysis on a space within a single structure.