Adapting sudden landslide identification product (SLIP) and detecting real-time increased precipitation (DRIP) algorithms to map rainfall-triggered landslides in Western Cameroon highlands (Central-Africa)

Adapting sudden landslide identification product (SLIP) and detecting real-time increased precipitation (DRIP) algorithms to map rainfall-triggered landslides in Western Cameroon highlands (Central-Africa)

Abstract Background NASA’s developers recently proposed the Sudden Landslide Identification Product (SLIP) and Detecting Real-Time Increased Precipitation (DRIP) algorithms. This double method uses Landsat 8 satellite images and daily rainfall data for a real-time mapping of this geohazard. This stu...

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Bibliographic Details
Main Authors: Alfred Homère Ngandam Mfondoum, Pauline Wokwenmendam Nguet, Jean Valery Mefire Mfondoum, Mesmin Tchindjang, Sofia Hakdaoui, Ryan Cooper, Paul Gérard Gbetkom, Joseph Penaye, Ateba Bekoa, Cyriel Moudioh
Format: Article
Language:English
Published: SpringerOpen 2021-07-01
Series:Geoenvironmental Disasters
Subjects:
SLIP
DRIP
Real-time mapping
Geohazard
West-Cameroon highlands
Rainfall-triggered landslides
Online Access:https://doi.org/10.1186/s40677-021-00189-9

Internet

https://doi.org/10.1186/s40677-021-00189-9

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