Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
권호 표지
DOI QR코드

DOI QR Code

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

2017 '친(親)환경도우미' 환경공간정보 우수논문 공모전

  • 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)
  • 김신엽 (환경부 기획조정실 정보화담당) ;
  • 이우균 (고려대학교 환경생태공학부) ;
  • 김상완 (세종대학교 에너지자원공학과) ;
  • 윤정호 (한국환경정책평가연구원 국토환경정보센터) ;
  • 이훈열 (강원대학교 지질.지구물리학부) ;
  • 박노욱 (인하대학교 공간정보공학과)
  • Received : 2017.12.06
  • Accepted : 2017.12.18
  • Published : 2017.12.31
Download PDF
⟨ Previous Next ⟩

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.

환경부는 각종 환경이슈에 효과적으로 대응하기 위해 토지피복지도를 포함한 다양한 환경공간정보를 제작 및 서비스해 오고 있다. 최근 4차 산업혁명 시대의 도래와 빈번한 환경재해의 발생으로 인해 환경공간정보와 최신 기술의 결합에 대한 필요성이 증대되고 있다. 이에 환경부는 대한원격탐사학회 주관으로 환경공간정보의 새로운 활용분야 발굴과 미래 인력 지원을 목적으로 2017년 환경공간정보 우수논문 공모전을 개최하였다. 올해 공모전에 접수된 51편 논문의 심사 결과, 9편이 최종 우수논문으로 선정되었다. 이 특별호에 게재된 9편의 논문은 최근 환경이슈와 더불어 환경공간정보를 기반으로 최신 방법론과 응용 결과를 제시하고 있다. 이 특별호 논문에서 소개된 분석 기술과 응용분야가 환경공간정보 사용자들에게 유용한 참조자료가 되기를 기대한다.

Keywords

References

  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.
  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). https://doi.org/10.7780/kjrs.2017.33.6.2.5
  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). https://doi.org/10.7780/kjrs.2017.33.5.2.11
  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). https://doi.org/10.17330/joep.13.4.201412.51
  6. 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).
  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). https://doi.org/10.7780/kjrs.2017.33.5.3.1
  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). https://doi.org/10.7780/kjrs.2017.33.6.2.2
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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