SHapley Additive exPlanations (SHAP) for Landslide Susceptibility Models: Shedding Light on Explainable AI

Al-Najjar, Husam; Kalantar, Bahareh; Pradhan, Biswajeet; Beydoun, Ghassan; Ueda, Naonori

doi:10.5194/isprs-annals-X-G-2025-81-2025

Articles | Volume X-G-2025

https://doi.org/10.5194/isprs-annals-X-G-2025-81-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-annals-X-G-2025-81-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume X-G-2025

10 Jul 2025

| 10 Jul 2025

SHapley Additive exPlanations (SHAP) for Landslide Susceptibility Models: Shedding Light on Explainable AI

Husam Al-Najjar, Bahareh Kalantar, Biswajeet Pradhan, Ghassan Beydoun, and Naonori Ueda

Related authors

A Spatiotemporal Evaluation Framework for MODIS-Derived Fire Events

Bahareh Kalantar, Naonori Ueda, and Husam Al-Najjar

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-3-2026, 151–156, https://doi.org/10.5194/isprs-annals-XI-3-2026-151-2026,https://doi.org/10.5194/isprs-annals-XI-3-2026-151-2026, 2026

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Useful Links

Useful External Links

Our Contact

ISPRS
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org