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http://dx.doi.org/10.7780/kjrs.2020.36.4.11

Construction of Spatiotemporal Big Data Using Environmental Impact Assessment Information  

Cho, Namwook (Environmental Assessment Group, Korea Environment Institute)
Kim, Yunjee (Environmental Assessment Group, Korea Environment Institute)
Lee, Moung-Jin (Center for Environmental Data Strategy, Korea Environment Institute)
Publication Information
Korean Journal of Remote Sensing / v.36, no.4, 2020 , pp. 637-643 More about this Journal
Abstract
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.
Keywords
Environmental Impact Assessment; Spatial Information; Big Data; Data Science;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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