Validation of Logistic Regression Models for Landslide Susceptibility Maps

Détails

ID Serval
serval:BIB_36AB4801F007
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Validation of Logistic Regression Models for Landslide Susceptibility Maps
Titre de la conférence
Proceedings of the 2009 World congress on Computer Science and Information Engineering
Auteur⸱e⸱s
Bai S.B., Wang J., Pozdnoukhov A., Kanevski M.
Editeur
IEEE Computer Society
ISBN
978-0-7695-3507-4
Statut éditorial
Publié
Date de publication
2009
Peer-reviewed
Oui
Editeur⸱rice scientifique
Burgin M., Chowdhury M.H., Ham C.H., Ludwig S., Su W., Yenduri S.
Volume
2
Pages
355-358
Langue
anglais
Résumé
A wide range of numerical models and tools have been developed over
the last decades to support the decision making process in environmental
applications, ranging from physical models to a variety of statistically-based
methods. In this study, a landslide susceptibility map of a part
of Three Gorges Reservoir region of China was produced, employing
binary logistic regression analyses. The available information includes
the digital elevation model of the region, geological map and different
GIS layers including land cover data obtained from satellite imagery.
The landslides were observed and documented during the field studies.
The validation analysis is exploited to investigate the quality of
mapping.
Création de la notice
25/11/2013 18:18
Dernière modification de la notice
20/08/2019 14:24
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