Academic
- Author: Nathan Zimmerman
- Category: article
- URL: element84.com/machine-l…
π Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning
Some of the arguments made here would ring obvious to traditional spatial analysts, others to traditional remote sensers and, I suppose, many might seem βbread and butterβ for the ML crowd. But it is not each individual argument that is the point here; it is putting them together, now, and in a contemporary and fresh framework that makes this paper worth a read. Well worth it indeed.
Metadata
Authors: Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner Category: article URL: arxiv.org/abs/2402….
π Why Weβre Talking About a Centralized Vector Embeddings Catalog Now
The white paper mentioned below is well worth a read. It puts in much more eloquent words many of the reasons why I’m very excited about the new generation of satellite foundation models and the potential embeddings have to make satellite data more useful, useable, and used! A lot of food for thought and great argumentation for why we need to think about satellite images more and more like abstract tables than like images of pixels.
Metadata
Highlights
our team published a detailed white paper in which we make the case for how Earth Observation (EO) data providers such as NASA can dramatically improve access to their data by creating a centralized vector embeddings catalog
We gave in to the hype and did one #GLaDpodcast episode on how we use AI, for Geography, Life, Geography Life, and data…
New PhD, a collab between IBM Research, SDR-UK’s own Geographic and Imagery Data Services to explore using vision foundation models & high resolution imagery of the Liverpool City Region. If this sounds like you (or a friend!), all info here!
Getting excited for ESA’s Living Planet Symposium, to happen in Vienna in just over a week! I’ll be there Sunday to Thursday, who else is coming? hit me up if you’d like to talk all things Imago or just catch up!
The case for satellite imagery in social science and policymaking: A sketch from my talks in China
It’s never been a better time to use something we’ve never needed more
π OSMlanduse a dataset of European Union land use at 10 m resolution derived from OpenStreetMap and Sentinel-2
"Geospatial AI for Land Use" (my talk at OECD's WPTI'25)
What I told the OECD is worth watching in AI for land use
Headed to GISRUKβ25. Not presenting, chairing, paneling or anything official, just taking it all in as a consumer this time. Hit me up if you want to talk Imago, satellites, citiesβ¦ or just say hi! π
π Formalising the urban pattern language: A morphological paradigm towards understanding the multi-scalar spatial structure of cities
New episode of the #GLaD podcast just dropped, Time (mis)management. Everything you always wanting to know (or not) about why weβre always late, and maybe thatβs OKβ¦
Headed to Detroit for the #AAG2025. Excited to spend a week with fellow Geography nerds in one of the most interesting urban stories of the XXth Century! Catch me at the sessions (image via Rachel, thanks!) weβre organising w/ Rachel Franklin, Elizabeth Delmelle and Isabelle Nilsson. Come say hi!

Imago the SDR-UK Imagery Data Service, is looking for a lead Research Software Engineer to help us design, build and run the tech platform that’ll power the service. Join us to make satellite data more useful, usable and used! https://jobs.ncl.ac.uk/job/Newcastle-Senior-Software-Engineer/1182366701/