Acknowledgement
본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었습니다(과제번호 20DPIW-C153746-02).
References
- 과학기술정보통신부. (2018). 무인이동체 기술혁신과 성장 10개년 로드맵.
- 국토교통부. (2018). 스마트 하천관리를 위한 하천조사 최적화 드론시스템 개발 기획.
- 이문섭, 김거식, 민기현, 손동훈 등. (2019). 초분광 이미징 기술동향. 전자통신동향분석. 34(1). pp. 86-97. https://doi.org/10.22648/ETRI.2019.J.340108
- Al-Ruzouq, R., Gibril, M. B. A., Shanableh, A., Kais, A., Hamed, O., Al-Mansoori, S., & Khalil, M. A. (2020). Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review. Remote Sensing, 12(20), 3338. https://doi.org/10.3390/rs12203338
- Castano, F., Strzelczak, S., Villalonga, A., Haber, R. E., & Kossakowska, J. (2019). Sensor reliability in cyber-physical systems using internet-of-things data: A review and case study. Remote sensing, 11(19), 2252. https://doi.org/10.3390/rs11192252
- Jeziorska, J. (2019). UAS for Wetland Mapping and Hydrological Modeling. Remote Sensing, 11(17), 1997. https://doi.org/10.3390/rs11171997
- Lang, M., Bourgeau-Chavez, L. L., Tiner, R. W., & Klemas, V. V. (2015). Advances in remotely sensed data and techniques for wetland mapping and monitoring. Remote Sensing of Wetlands: Applications and Advances; Ralph, WT, Megan, WL, Victor, VK, Eds, 79-118.
- Legleiter, C. J., Roberts, D. A., & Lawrence, R. L. (2009). Spectrally based remote sensing of river bathymetry. Earth Surface Processes and Landforms, 34(8), 1039-1059. https://doi.org/10.1002/esp.1787
- Legleiter, C. J., & Harrison, L. R. (2019). Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA. Water Resources Research, 55(3), 2142-2169. https://doi.org/10.1029/2018wr023586
- Yao, H., Qin, R., & Chen, X. (2019). Unmanned aerial vehicle for remote sensing applications-A review. Remote Sensing, 11(12), 1443. https://doi.org/10.3390/rs11121443