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http://dx.doi.org/10.7780/kjrs.2017.33.6.2.1

Foreword to the Special Issue on the 2017 Environmental Spatial Information Research Papers Competition  

Kim, Shin-yup (Information and Statistics Division, Planning and Coordination Office, Ministry of Environment)
Lee, Woo-Kyun (Division of Environmental Science and Ecological Engineering, Korea University)
Kim, Sang-Wan (Department of Energy and Mineral Resources Engineering, Sejong University)
Yoon, Jeong-Ho (Korea Environmental Information Center, Korea Environment Institute)
Lee, Hoonyol (Division of Geology and Geophysics, Kangwon National University)
Park, No-Wook (Department of Geoinformatic Engineering, Inha University)
Publication Information
Korean Journal of Remote Sensing / v.33, no.6_2, 2017 , pp. 1041-1046 More about this Journal
Abstract
The Ministry of Environment(ME) has been producing and providing various environmental spatial information including land-cover maps in order to effectively cope with environmental issues. With the advent of the 4th industrial revolution era and the frequent occurrence of environmental disasters, the necessity of combining the environmental spatial information with the newest technology is increasing. By considering the increased necessity, the ME and the Korean Society of Remote Sensing held the 2017 Environmental Spatial Information Research Paper Competition with the aim of both discovering new application fields of environmental spatial information and supporting outstanding researchers. The outstanding 9 papers were finally selected after reviewing 51 papers submitted for the competition. This special issue includes the 9 papers that address advanced methodologies and application results based on environmental spatial information, as well as recent environmental issues. We expect the methodologies and applications presented in this special issue would be a reference anthology for users of environmental spatial information.
Keywords
Environmental spatial information; Thematic maps; Environmental issues; 4th industrial revolution;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
연도 인용수 순위
1 EGIS (Environmental Geographic Information Service) webpage, https://egis.me.go.kr, Accessed on Nov. 30, 2017.
2 Kim, J.-C., S. Lee, H.-S. Jung, and S. Lee, 2017. Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea, Geocarto International, doi:http://dx.doi. org/10.1080/10106049.2017.1323964.   DOI
3 Kwak, G.-H., S. Park, H.Y. Yoo, and N.-W. Park, 2017. Updating land cover maps using object segmentation and past land cover information, Korean Journal of Remote Sensing, 33(6-2): 1089-1100 (in Korean with English abstract).   DOI
4 Lee, J., B. Seo, and S. Kang, 2017a. Development of a biophysical rice yield model using all-weather climate data, Korean Journal of Remote Sensing, 33(5-2): 721-732 (in Korean with English abstract).   DOI
5 Lee, M.-J., K.H. Kim, and J.-H. Park, 2014. Development and application of national environment atlas using environmental spatial information, Journal of Environmental Policy, 13(4): 51-78 (in Korean with English abstract).   DOI
6 Lee, S.J., S. Yoo, B. Ham, C.-H. Lim, C. Song, M. Kim, S.J. Kim, and W.-K. Lee, 2017c. Ecosystem service assessment of urban forest for water supply and climate mitigation of Seoul metropolitan area, Korean Journal of Remote Sensing, 33(6-2): 1119-1137 (in Korean with English abstract).   DOI
7 Lee, M.-J., J. Lee, J.H. Yoon, G.H. Kim, K.-Y. Oh, B.Y. Park, and J.H. Han, 2016. Establishment of a System for Applying Spatial Information in Addressing Environment Issues by Considering the Trend of ICT Development, Korea Environment Institute, Sejong, Korea (in Korean).
8 Lee, M.-J., W. Park, and W. Song, 2017b. Present condition of environment geospatial information and its application, Korean Journal of Remote Sensing, 33(5-3): 763-771 (in Korean with English abstract).   DOI
9 Lee, S. and M.-J. Lee, 2017. Susceptibility mapping of Umyeonsan using logistic regression (LR) model and post-validation through field investigation, Korean Journal of Remote Sensing, 33(6-2): 1047-1060 (in Korean with English abstract).   DOI
10 Lee, Y.-K. and J.-H. Ryu, 2017. Production of the thematic standard map for coastal regions based on remote sensing data, Korean Journal of Remote Sensing, 33(6-2): 1159-1169 (in Korean with English abstract).   DOI
11 Park, H., 2017. 3D measurement method based on point cloud and solid model for urban single trees, Korean Journal of Remote Sensing, 33(6-2): 1139-1149 (in Korean with English abstract).   DOI
12 Park, N., D. Kim, J. Ahn, J. Choi, W. Park, and H. Park, 2017. Unsupervised change detection based on sequential spectral change vector analysis for updating land cover map, Korean Journal of Remote Sensing, 33(6-2): 1075-1087 (in Korean with English abstract).   DOI
13 Lee, M.-J., J. Lee, D.H. Han, J.H. Yoon, D.H. Kim, J.S. Ha, H.C. Jung, Y.S. Yim, K.Y. Oh, and D.E. Han, 2015. A Study on Advancement of Landcover Map Construction, Korea Environment Institute, Sejong, Korea (in Korean).
14 Yoo, C., J. Im, S. Park, and D. Cho, 2017. Thermal characteristics of Daegu using land cover data and satellite-derived surface temperature downscaled based on machine learning, Korean Journal of Remote Sensing, 33(6-2): 1101-1118 (in Korean with English abstract).   DOI
15 Rhee, S., S. Kim, and T. Kim, 2017. A study on the possibility of using UAV stereo image for measuring tree height in urban area, Korean Journal of Remote Sensing, 33(6-2): 1151-1157 (in Korean with English abstract).   DOI
16 Song, A. and Y. Kim, 2017. Deep learning-based hyperspectral image classification with application to environmental geographic information systems, Korean Journal of Remote Sensing, 33(6-2): 1061-1073 (in Korean with English abstract).   DOI