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A Remote Sensing-Based Approach for Debris-Flow Susceptibil..:
Elkadiri, Racha
;
Sultan, Mohamed
;
Youssef, Ahmed M.
...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7 (2014) 12 - p. 4818-4835 , 2014
Link:
https://doi.org/10.1109/jstars.2014.2337273
RT Journal T1 <Title>A Remote Sensing-Based Approach for Debris-Flow Susceptibility Assessment Using Artificial Neural Networks and Logistic Regression Modeling</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_jstars.2014.2337273&Exemplar=1&LAN=DE A1 Elkadiri, Racha A1 Sultan, Mohamed A1 Youssef, Ahmed M. A1 Elbayoumi, Tamer A1 Chase, Ronald A1 Bulkhi, Ali B. A1 Al-Katheeri, Mohamed M. PB Institute of Electrical and Electronics Engineers (IEEE) YR 2014 SN 1939-1404 SN 2151-1535 JF IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing VO 7 IS 12 SP 4818 OP 4835 LK http://dx.doi.org/https://doi.org/10.1109/jstars.2014.2337273 DO https://doi.org/10.1109/jstars.2014.2337273 SF ELIB - SuUB Bremen
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