Martin Brandt

A map of forest cover estimates in Nepal at very high resolution, shown on a large screen in the entrance of Imperial College London.

Super cool to see this up in the @imperialcollegeldn.bsky.social entrance today for the Faculty of Natural Sciences Research Image Competition. This comes from ongoing work with @martin-brandt.bsky.social, @conservationorg.bsky.social,and others. @tom-pienkowski.bsky.social @morenamills.bsky.social

PhD fellowship in Remote Sensing and Deep Learning

join our group in Copenhagen as fully paid PhD candidate: employment.ku.dk/phd/?show=16...

Screenshot of the course website for "SSL4EO: Self-Supervised Learning for Earth Observation"

Recordings of the SSL4EO-2024 summer school are now released!

This blog post summarizes what has been covered:
langnico.github.io/posts/SSL4EO...

Recordings: www.youtube.com/playlist?lis...

Course website: ankitkariryaa.github.io/ssl4eo/
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High-resolution sensors and deep learning models for tree resource monitoring - Nature Reviews Electrical Engineering Trees are crucial for Earth’s ecosystems, aiding in carbon absorption, climate regulation and biodiversity support. High-resolution satellite sensors and artificial intelligence enable detailed tree m...

we have summarized our experiences using deep learning and high resolution satellite images to map trees in this Nature Reviews paper: www.nature.com/articles/s44...

I've initiated a starter pack with researchers working on Deep Learning (SSL, generative models, foundation models, deep learning at scale...) for Earth observation/remote sensing that I know/that I've found on this network!

-> Don't hesitate to ping me to be added/removed! 🌏

go.bsky.app/EKVwvde

please add me as well