Dr. Sara Alibakhshi

| Tel: | +358469386186 |
| E-mail: | sara.alibakhshi(at)gmail.com |
| More information: |
Short Bio
Sara Alibakhshi is a Marie Skłodowska-Curie Postdoctoral Fellow at the Technical University of Munich (TUM). She earned her PhD in Geoinformatics, and her research integrates geospatial data science, remote sensing, and environmental modeling to better understand spatial dynamics and support sustainable development. Her current work focuses on applying data-driven and AI-based approaches to analyze complex spatial-temporal phenomena
Key Publications
- Alibakhshi, S., Cook-Patton, S. C., Davin, E., Maeda, E. E., Araújo, M. B., Heinlein, D., Heiskanen, J., Pellikka, P., & Crowther, T. W. (2024). Natural forest regeneration is projected to reduce local temperatures. Communications Earth & Environment, 5, Article 577.
- Alibakhshi, S., Naimi, B., Hovi, A., Crowther, T. W., & Rautiainen, M. (2020). Quantitative analysis of the links between forest structure and land surface albedo on a global scale. Remote Sensing of Environment, 246, 111854.