Doctoral student in Water Resources Engineering with a focus on GeoAI and Remote Sensing in Hydrology

Short Course on Artificial Intelligence for Environmental Data

Event date: 2025-09-17 to 2025-09-18

Featured paper: Bayesian Optimisation Against Climate Change: Applications and Benchmarks

Published: 2025-08-25

The featured paper this month shows how Bayesian optimisation can support climate change mitigation by tackling optimisation problems in renewable energy and environmental monitoring. This includes a review on applications across four main use cases—material discovery, wind farm layouts, optimal renewable control, and environmental monitoring, and the proposal of benchmark problems to guide future research. The work is connected to ongoing projects at Climate AI Nordics, such as efforts to design safer solar panel materials and improve air pollution monitoring.

SWEO2025: Earth observation event in Stockholm

Event date: 2025-10-23 to 2025-10-24

SWEO2025 is an event that revolves around the practical applications of Earth observation data, including within environmental monitoring and similar areas. The event takes place in Solna, Stockholm, between October 23rd and 24th. Click [here](https://jirango.com/cview/web/10596f6a) for registration to the event.

Self-supervised pre-training for glacier calving front extraction from synthetic aperture radar imagery

Event date: 2025-10-23

Webinar with Nora Gourmelon, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Monitoring glacier calving fronts with SAR imagery is essential but challenging, as deep learning models often underperform due to limited labeled data and high variability. To address this, an unlabeled Sentinel-1 SAR and Sentinel-2 optical dataset was compiled, enabling a novel multi-modal self-supervised pre-training strategy for a hybrid CNN-transformer model. Fine-tuning on the CaFFe benchmark showed clear improvements over non-pre-trained models, demonstrating the potential of data-efficient learning for calving front segmentation.