📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Advanced AI techniques for landslide susceptibility mapping and spatial prediction: A case study in Medellín, Colombia (2025)

First Author: Gómez-Miranda I

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.acags.2025.100226

Publication URI: http://dx.doi.org/10.1016/j.acags.2025.100226

Type: Journal Article/Review

Parent Publication: Applied Computing and Geosciences