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1 Ergebnisse
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Estimating landslide susceptibility areas considering the u..:
이동근
;
Kim, Ho Gul
;
Lee, Dong Kun
...
Stochastic Environmental Research and Risk Assessment, Vol.32 No.11, pp.2987-3019. , 2018
Link:
https://hdl.handle.net/10371/149786
RT Journal T1 <Title>Estimating landslide susceptibility areas considering the uncertainty inherent in modeling methods</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftseoulnuniv:oai:s-space.snu.ac.kr:10371_149786&Exemplar=1&LAN=DE A1 이동근 A1 Kim, Ho Gul A1 Lee, Dong Kun A1 Park, Chan A1 Ahn, Yoonjung A1 Kil, Sung-Ho A1 Sung, Sunyong A1 Biging, Gregory S PB Springer Verlag YR 2018 K1 ARTIFICIAL NEURAL-NETWORK K1 SUPPORT VECTOR MACHINE K1 LOGISTIC-REGRESSION K1 FREQUENCY RATIO K1 SHALLOW LANDSLIDES K1 HIERARCHY PROCESS K1 DEBRIS FLOWS K1 RIVER-BASIN K1 INJE AREA K1 TURKEY K1 Spatial distribution model K1 Ensemble model K1 Coefficient of variation K1 Adaptation plans JF Stochastic Environmental Research and Risk Assessment, Vol.32 No.11, pp.2987-3019 LK http://dx.doi.org/https://hdl.handle.net/10371/149786 DO https://hdl.handle.net/10371/149786 SF ELIB - SuUB Bremen
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