Project Details
Description
AI4Forest aims at the use of scalable AI methods in the field of sustainability as well as at the development of conceptually novel and highly-efficient AI methods. It will, hence, have a direct impact on the national AI strategies of both France and Germany. AI4Forest aims at intensifying ongoing research activities conducted by the project partners with the goal of establishing a long-term collaboration between the hosting institutes, and more generally between France and Germany, in this interdisciplinary and data-driven field. The existing bilateral partnership will be strengthened by means of, e.g., interdisciplinary research workshops and joint eaching activities, which will be implemented and coordinated via a novel AI4Forest virtual center.
| Short title | AI4Forest |
|---|---|
| Acronym | AI4Forest |
| Status | Active |
| Effective start/end date | 1/06/23 → 31/05/27 |
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Projects
- 1 Active
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AI4Forest: AI-Based High-Resolution Forest Monitoring (Teilprojekt)
Senf, C. (Spokesperson)
1/06/23 → 31/05/27
Project: Research
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Next-Level Forest Disturbance Monitoring Across Europe Based on Deep Learning
Viana Soto, A., Kowalski, K. & Senf, C., Jun 2025, Living Planet Symposium ESA.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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The European Forest Disturbance Atlas: a forest disturbance monitoring system using the Landsat archive
Viana-Soto, A. & Senf, C., 5 Jun 2025, In: Earth System Science Data. 17, 6, p. 2373-2404 32 p.Research output: Contribution to journal › Article › peer-review
Open Access14 Scopus citations