참고문헌
- EGIS (Environmental Geographic Information Service) webpage, https://egis.me.go.kr, Accessed on Nov. 30, 2017.
- 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.
- 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). https://doi.org/10.7780/kjrs.2017.33.6.2.5
- 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). https://doi.org/10.7780/kjrs.2017.33.5.2.11
- 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). https://doi.org/10.17330/joep.13.4.201412.51
- 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).
- 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).
- 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). https://doi.org/10.7780/kjrs.2017.33.5.3.1
- 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). https://doi.org/10.7780/kjrs.2017.33.6.2.2
- 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). https://doi.org/10.7780/kjrs.2017.33.6.2.7
- 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). https://doi.org/10.7780/kjrs.2017.33.6.2.10
- 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). https://doi.org/10.7780/kjrs.2017.33.6.2.8
- 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). https://doi.org/10.7780/kjrs.2017.33.6.2.4
- 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). https://doi.org/10.7780/kjrs.2017.33.6.2.9
- 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). https://doi.org/10.7780/kjrs.2017.33.6.2.3
- 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). https://doi.org/10.7780/kjrs.2017.33.6.2.6