Workshop Title: Remote sensing, GIS and AI tools for integrating wildfire prevention in forest conservation efforts

Instructors: Laura Alonso, Ana Novo, Midhun Mohan, and Fabian Fassnacht

Abstract: This half-day workshop will introduce key tools and databases for incorporating wildfire prevention into forest conservation planning.

Participants will learn how to access and use data sources such as historical wildfire records, meteorological datasets, land cover information, fuel maps, and social data.

A practical case study will guide participants through the process of applying these resources to real-world planning scenarios using GIS and remote sensing techniques. The session will also provide an overview of how artificial intelligence can support risk mapping and decision-making for wildfire management in conservation contexts.

Date and Time: March 23, 2026

Place: Coyhaique, indoor classroom (to be confirmed)

Intended audience: Students, researchers, and professionals interested in remote sensing, GIS, and forest conservation

Number of participants: up to 20 participants

Technical requirements: Laptop with QGIS installed

Registration: Please indicate your interest in this course in the conference registration form to secure your participation.