Modelling of piping collapses and gully headcut landforms: Evaluating topographic variables from different types of DEM

Modelling of piping collapses and gully headcut landforms: Evaluating topographic variables from different types of DEM

The geomorphic studies are extremely dependent on the quality and spatial resolution of digital elevation model (DEM) data. The unique terrain characteristics of a particular landscape are derived from DEM, which are responsible for initiation and development of ephemeral gullies. As the topographic...

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Bibliographic Details
Main Authors: Alireza Arabameri, Fatemeh Rezaie, Subodh Chandra Pal, Artemi Cerda, Asish Saha, Rabin Chakrabortty, Saro Lee
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Geoscience Frontiers
Subjects:
Digital elevation model (DEM)
Gully erosion susceptibility (GES)
Advanced land observation satellite (ALOS)
Cforest
Cubist
Elastic net
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987121000943

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http://www.sciencedirect.com/science/article/pii/S1674987121000943

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