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Application of airborne hyperspectral imagery to retrieve s..:
Kim, Jinuk
;
Jang, Wonjin
;
Hwi Kim, Jin
...
International Journal of Applied Earth Observation and Geoinformation. 114 (2022) - p. 103053 , 2022
Link:
https://doi.org/10.1016/j.jag.2022.103053
RT Journal T1 <Title>Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jag.2022.103053&Exemplar=1&LAN=DE A1 Kim, Jinuk A1 Jang, Wonjin A1 Hwi Kim, Jin A1 Lee, Jiwan A1 Hwa Cho, Kyung A1 Lee, Yong-Gu A1 Chon, Kangmin A1 Park, Sanghyun A1 Pyo, JongCheol A1 Park, Yongeun A1 Kim, Seongjoon PB Elsevier BV YR 2022 SN 1569-8432 JF International Journal of Applied Earth Observation and Geoinformation VO 114 SP 103053 LK http://dx.doi.org/https://doi.org/10.1016/j.jag.2022.103053 DO https://doi.org/10.1016/j.jag.2022.103053 SF ELIB - SuUB Bremen
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