Water for future (물과 미래)

Korea Water Resources Association (한국수자원학회)
권호 표지

Landsat 위성을 활용한 지속적인 수자원 관리

  • 정윤재 ((주)지오씨엔아이 GIS 연구소) ;
  • 이응준 ((주)지오씨엔아이 GIS 연구소) ;
  • 박혜지 ((주)지오씨엔아이 제2센터) ;
  • 조명희 (경북대학교 융복합시스템공학부)
  • Published : 2019.03.15
Download PDF
⟨ Previous Next ⟩

Abstract

Keywords

References

  1. 한국항공우주연구원. 인공위성. Available online: https://www.kIlri.re.kr/kor/sub03_02.do (assessed on 18 March 2019).
  2. Choung, Y.-J., Jo. M.-H. 2016. Shoreline change assessment for various types of coasts using multi-temporal Landsat imagery of the east coast of South Korea. Remote Sensing Letters, 7, 1, 91-100. https://doi.org/10.1080/2150704X.2015.1109157
  3. Cheung, Y.-J., Jo, M.-H. 2017. Comparison between a Machine-Learning-Based Method and a Water-Index-Based Method for Shoreline Mapping Using a High-Resolution Satellite Image Acquired in Hwado Island, South Korea. Journal of Sensors 2017, 1-13.
  4. Satellite Imaging Corporation. Landsat 8 Satellite Sensor (15cm), Available online: https://www.satimagingcorp.com/satelllte-sensors/other-satellite-sensors/landsat-8/ (assessed on 18 March 2019)
  5. USGS. Landsat Missions. Available online: https://www.usgs.gov/land-resources/nli/landsat (assessed on 18 March 2019)