• Journal of Environmental Policy
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• v.9 no.2
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• pp.111-133
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• 2010

Environmental conservation plan, notwithstanding their feasibility and potential utility in construction of environment-friendly spaces, has long been perceived in practice as "declarative" and a "formality." Such perceptions are largely the result of the failure to provide spatial planning that is directly relevant to development of the space in question, and to sufficiently interconnect with urban development plan. This demonstrates the need for ways to link disparate plans, i.e. to enact "spatial environment plan." In response to these issues, this study proposes the systematization of spatial environment data as a necessary prerequisite to the establishment of spatial environment plan, which would provide both linkages with other plans, and ensure the applicability of environmental conservation plan. To this end, this study analyzed existing environmental data, and then proposed systems for links with spatial environment plan. In respect of this, the study examined spatial data systems, and then classified applicable spatial according to each environmental medium. The study also produced spatial information and planning items that can be included in spatial environment plans for each of the nine environmental media, and then constructed a system that could link the existing spatial information system, current spatial environment data, and spatial environment management plan. Furthermore, the study proposed matters for improvement in the construction of spatial environmental data to ensure the activation of spatial environment plan. The construction of a systematic spatial database, by facilitating the smooth establishment of spatial environment plan, can enhance and upgrade environmental conservation plan, while contributing to enhanced linkages with related spatial plans.

• Korean Journal of Remote Sensing
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• v.36 no.4
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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.

• Journal of Environmental Health Sciences
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• v.37 no.1
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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.

• Journal of Environmental Policy
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• v.14 no.1
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• pp.85-112
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• 2015

This paper aims to propose a policy for linking and utilizing spatial data for resilient spatial planning against disaster due to climate change by analyzing the current status of spatial data in the fields of urban planning, environmental planning and disaster prevention. To do so, spatial planning guidelines and the current status of utilizing spatial data in each field were identified by conducting a literature review and phone/face-to-face interviews with professionals and representatives of relevant institutions. As a result, the lists of spatial data were drawn up which can be utilized or linked with each other for developing an official spatial plan at a local government level. On the basis of these results, policy plans were proposed to link and utilize spatial data among urban planning, environmental planning and disaster prevention fields for climate change adaptation spatial planning.

• Korean Journal of Remote Sensing
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• v.37 no.1
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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.

• Korean Journal of Remote Sensing
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• v.37 no.1
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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.

• Proceedings of the KSRS Conference
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• 2005.10a
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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.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.13 no.5
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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.

• Journal of Korean Society on Water Environment
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• v.32 no.6
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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.

• Architectural research
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• v.17 no.2
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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.