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2017 | OriginalPaper | Buchkapitel

10. Ensemble Disagreement Active Learning for Spatial Prediction of Shallow Landslide

verfasst von : Biswajeet Pradhan, Maher Ibrahim Sameen, Bahareh Kalantar

Erschienen in: Laser Scanning Applications in Landslide Assessment

Verlag: Springer International Publishing

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Abstract

In Malaysia, landslides are considered as the most frequent and devastating natural disaster that cause human life and property losses. The spatial prediction of landslides is the basic step required for hazard and risk assessments. Spatial prediction methods of landslides are established and documented in the literature. However, several research directions on this topic need to be developed and explored in depth. The current improvement in computer technology and laser scanning systems provide improved data processing capabilities and topographic datasets, as well as new trends in landslide modeling and methods that can deal with such advanced technologies and datasets.

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Titel: Ensemble Disagreement Active Learning for Spatial Prediction of Shallow Landslide
verfasst von: Biswajeet Pradhan
Maher Ibrahim Sameen
Bahareh Kalantar
Verlag: Springer International Publishing
Buch: Laser Scanning Applications in Landslide Assessment
Print ISBN: 978-3-319-55341-2

Electronic ISBN: 978-3-319-55342-9

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-55342-9_10