Konstantin Klemmer | Assistant Professor, UCL

About Me

I am an Assistant Professor at UCL, where I am part of the Department of Civil, Environmental and Geomatic Engineering, the UCL AI Centre and the UCL SpaceTimeLab. I am also an AI researcher at LGND AI. My research focuses on the representation of geospatial phenomena in machine learning methods and, more broadly, on statistical machine learning and self-supervised representation learning. Beyond that, I am interested in the application of these methods in urban environments and to tackle climate change. Before my current roles, I was a postdoctoral researcher and research scientist at Microsoft Research. I completed my PhD at the University of Warwick and New York University. I was also an Enrichment student at the Alan Turing Institute and a Beyond Fellow at TUM / DLR. In my free time, I volunteer for Climate Change AI where I served two terms on the board of directors.

For a recent talk about my work, check the video (MIT LIDS Seminar 2025) below:

News

[04/08/2026] Our perspective paper on Earth embeddings has been published in IEEE GRSM and is fully open-access.
[05/07/2026] We gave a tutorial on Earth embeddings at the ISPRS Congress 2026. Check out the materials on Github!
[01/06/2026] New preprint out on unifying raster data and vector semantics for human-centric geospatial foundation models.
[13/05/2026] New perspectives paper out presenting a blueprint for Integrated Climate Intelligence.
[01/05/2026] One paper accepted at ICML 2026.

Full list of news →

Selected Publications

IEEE-GRSM

Earth Embeddings: Toward artificial intelligence-centric representations of our planet

Klemmer, K., Rolf, E., Russwurm, M., Camps-Valls, G., Czerkawski, M., Ermon, S., Francis, A., Jacobs, N., Kerner, H., Mackey, L., Mai, G., Mac Aodha, O., Reichstein, M., Robinson, C., Rolnick, D., Shelhamer, E., Sitzmann, V., Tuia, D., Zhu X.

IEEE Geoscience and Remote Sensing Magazine, 2026.

PDF BibTex

ICLR

Measuring the Intrinsic Dimension of Earth Representations

Rao, A., Rußwurm, M., Klemmer, K., Rolf, E.

International Conference on Learning Representations (ICLR), 2026.

PDF BibTex

AAAI

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Klemmer, K., Rolf, E., Robinson, C., Mackey, L., Rußwurm, M.

AAAI Conference on Artificial Intelligence, 2025.

PDF Code BibTex Preliminary version at DistShift & TCCML Workshops, NeurIPS'23

ICML

Mission Critical - Satellite Data is a Distinct Modality in Machine Learning

Rolf, E., Klemmer, K., Rolf, E., Robinson, C., Kerner, H.

International Conference on Machine Learning (ICML), 2024.

PDF BibTex Spotlight

ICLR

Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks

Rußwurm, M., Klemmer, K., Rolf, E., Zbinden, R., Tuia, D.

International Conference on Learning Representations (ICLR), 2024.

PDF Code BibTex Spotlight (Top 5%)

See the full list of publications →

Students & Mentees

David Mikisch, Postgraduate student, TU Berlin & Mila
Haoran Zhang, Postgraduate student, Harvard University
Natha Safir, Undergraduate student, University of Georgia (now SWE at Google)
Gyri Reiersen, Masters student, Technical University of Munich (now co-founder at Tanso)

Contact

Address: Department of Civil, Environmental and Geomatic Engineering, University College London, Chadwick Building, Gower Street, London WC1E 6BT, UK
Email: konstantin.klemmer.16 (at) ucl.ac.uk