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MAS-LAND: A Multi-Agent System for Landslide detection and rapid response

delete2026-06-16
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OA
AI
A
Abdelkader Riche *
A
Abdallah Zeggada
F
Francesco Caleca
M
Mohammed Alruqimi
P
Pierluigi Confuorto
M
Mawloud Guermoui
S
Silvia Bianchini
V
Veronica Tofani
F
Farid Melgani
DOI:10.1016/j.ijdrr.2026.106263delete
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Abstract

Abstract

En 中文
• MAS-LAND is a multi-agent framework for post-event landslide detection and rapid response. • The workflow integrates landslide detection, infrastructure exposure assessment, and automated reporting. • SegFormer MIT-b2 achieved the best performance, detecting 603 of 806 landslides in the test dataset. • Building and road exposure are evaluated through RT-DETR extraction and OpenStreetMap data. • The final output is an interactive online map integrating a complete operational report for each detected landslide.
Keywords:
landslide detection
multi-agent systems
SegFormer
emergency response
LLM-based reporting
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Journal

International Journal of Disaster Risk Reduction cover
International Journal of Disaster Risk Reduction
IF:
4.5
Papers:
6.0K
Citations:
2.1W

Organization

U
university of trento
Scholars:
1.5K
Papers: 811
Citations: 0
U
university of florence
Scholars:
4.1W
Papers: 3.1W
Citations: 42
I
Independent Researcher
Scholars:
835
Papers: 723
Citations: 0
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