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) |
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 |