RISE DL Research Group

RISE DL Research Group

Foundational and applied machine learning for the Earth

Paper accepted for the journal Remote Sensing

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The paper Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI was accepted for the journal Remote Sensing (2024). Code, models & data is available here.

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Core team of new GEO AI4EO working group

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Aleksis Pirinen has joined the core team of the newly formed GEO AI4EO working group, led by Prof. Yifang Ban (KTH Royal Institute of Technology). Group on Earth Observations (GEO) is the UN body for EO, and the AI4EO working group will play a crucial role in GEO’s post-2025 vision “Earth intelligence for all”.

CAIN is live!

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Climate AI Nordics is a network for researchers in the Nordics working on problems related to tackling climate change using AI and machine learning. We at the DL-group have now offially initiated this network and the website is online!

Two FORMAS grants obtained

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Two FORMAS grants obtained: (i) Grey to green: Using AI to detect and prioritize conversion of impervious surfaces to multifunctional nature-based solutions and (ii) PRACTICAL WISION – Automatically identifying and mapping different weed species through the practical application of AI-based image analysis models. The DL-group will lead a work package each within the respective projects.