Acknowledgement
본 연구는 응용생태공학회 하천생물지형분과위원회활동의 하나로서 수행되었습니다.
References
- Arcement, G.J. and Schneider, V.R. 1989. Guide for Selecting Manning's Roughness Coefficients for Natural Channels and Flood Plains. https://ton.sdsu.edu/usgs_report_2339.pdf. Accessed 31 January 2021.
- Asami, K., Akamatsu, H., Fukui, S., and Tamura, K. 2012. Morphological characteristics of flood refugia of cobble-bed vegetation. Journal of Hydro-environment Research 6(2): 127-136. https://doi.org/10.1016/j.jher.2012.01.005
- Benjankar, R., Tranmer, A.W., Vidergar, D., and Tonina, D. 2020. Riparian vegetation model to predict seedling recruitment and restoration alternatives. Journal of Environmental Management 276: 111339. https://doi.org/10.1016/j.jenvman.2020.111339
- Darby, S.E. 1999. Effect of riparian vegetation on flow resistance and flood potential. Journal of Hydraulic Engineering 125(5): 443-454. https://doi.org/10.1061/(ASCE)0733-9429(1999)125:5(443)
- ESA (European Space Agency). 2021. The Copernicus Open Access Hub. https://scihub.copernicus.eu/. Accessed 31 January 2021.
- Francalanci, S., Paris, E., and Solari, L. 2019. On the vulnerability of woody riparian vegetation during flood events. Environmental Fluid Mechanics, 1-27.
- FRFCO (Han River Flood Control Office). 2021. Annual Hydrological Report on Korea. http://hrfco.go.kr/web/sumun/floodgate.do. Accessed 31 January 2021. (in Korean)
- Hupp, C.R. and Osterkamp, W.R. 1996. Riparian vegetation and fluvial geomorphic processes. Geomorphology 14(4): 277-295. https://doi.org/10.1016/0169-555X(95)00042-4
- KMA (Korea Meteorological Administration). 2021. Open MET Data Portal. https://data.kma.go.kr/. Accessed 31 January 2021. (in Korean)
- Meyer, G.E. and Neto, J.C. 2008. Verification of color vegetation indices for automated crop imaging applications. Computers and Electronics in Agriculture 63(2): 282-293. https://doi.org/10.1016/j.compag.2008.03.009
- MOE (Ministry of Environment). 2021a. Water Environment Information System. http://water.nier.go.kr/. Accessed 31 January 2021. (in Korean)
- MOE (Ministry of Environment). 2021b. Water Resources Management Information System. http://www.wamis.go.kr. Accessed 31 January 2021. (in Korean)
- Mun, J.-J., Gang, S.-U., and Lee, J.-J. 2020. National precipitation analysis of floods in 2020. Water for Future 53(10): 135-143. (in Korean)
- NGII (National Geographic Information Institute). 2020. National Spatial Data Infrastructure Platform. http://map.ngii.go.kr/mn/mainPage.do. Accessed 11 November 2020.
- ODM (OpenDroneMap). 2020. A Command Line Toolkit to Generate Maps, Point Clouds, 3D Models and DEMs from Drone, Balloon or Kite Images. https://github.com/OpenDroneMap/ODM. Accessed 11 November 2020
- Riis, T., Kelly-Quinn, M., Aguiar, F.C., Manolaki, P., Bruno, D., Bejarano, M.D., Clerici, N., Fernandes, M.R., Franco, J.C., Pettit, N., Portela, A.P., Tammeorg, O., Tammerog, P., Rodriguez-Gonzalez, P.M. and Dufour, S. 2020. Global overview of ecosystem services provided by riparian vegetation. BioScience 70(6): 501-514. https://doi.org/10.1093/biosci/biaa041
- Shimizu, Y., Inoue, T., Suzuki, E., Kawamura, S., Iwasaki, T., Hamaki, M., Omura, K., Kakegawa, E., and Yoshida, T. 2015. Nays2DFlood Solver Manual. The International River Interface Cooperative, Hokkaido, Japan, p. 1-51.
- Tucker, C.J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8(2): 127-150. https://doi.org/10.1016/0034-4257(79)90013-0
- Woo, H., Cho, K.H., Jang, C.L., and Lee, C.J. 2019. Fluvial processes and vegetation-research trends and implications. Ecology and Resilient Infrastructure 6(2): 89-100.
- Xu, H. 2006. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing 27(14): 3025-3033. https://doi.org/10.1080/01431160600589179
- YRFCO (Youngsan River Flood Control Office). 2021. Hydrological data. http://www.yeongsanriver.go.kr/contents.do?S=S01&M=020101010000. Accessed 31 January 2021. (in Korean)