We had a fantastic week at the ISPRS Congress 2026! It was a great opportunity to connect with the international community, share our latest methodologies, and discuss the future of geospatial research.

A major highlight of the event was the joint TUM exhibition booth. It successfully showcased a wide range of geodetic and Earth observation research from the Technical University of Munich. Our RSA group was thrilled to be part of this vibrant setup, and we really enjoyed the inspiring discussions with attendees who stopped by.

Our Publications are Now Publicly Accessible! 

We contributed to the scientific program with three oral presentations. We are excited to announce that all three papers are now officially published in the ISPRS Annals. We invite you to check them out via the links below:

• Huang, Xiaoyu; Letard, Mathilde; Lague, Dimitri; Höfle, Bernhard; Tabernig, Ronald; Leroy, Paul; Anders, Katharina: Time-Adaptive Change Analysis through Extension of the M3C2 Algorithm using Multi-Modal Laser Scanning Data in a Salt Marsh Environment. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences XI-2-2026, 2026, 623-630 mehr… BibTeX Volltext ( DOI ) (Funded by the Extract4D project).
• Letard, Mathilde; Naylor, Peter; Anders, Katharina: Spatiotemporal reconstruction of 4D point clouds at different time scales through implicit neural representations for topographic monitoring applications. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences XI-2-2026, 2026, 527-534 mehr… BibTeX Volltext ( DOI ) (Funded by the  AI4ENV project).
• Wang, Jiapan; Huang, Xiaoyu; Maydhisudhiwongs, Pim; Letard, Mathilde; Teuscher, Balthasar; Gyawali, Prabin; Werner, Martin; Anders, Katharina: topo4d: Topographic 4D STAC Extension for Curating and Cataloging Multi-Source Geospatial Time Series Datasets. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences XI-2-2026, 2026, 545-552 mehr… BibTeX Volltext ( DOI ) (Funded by the 4DWORKS project).

py4dgeo Tutorial

In addition to the main sessions, we teamed up with the 3DGeo group from Heidelberg University to host a hands-on tutorial on py4dgeo. The session was a huge success, with strong participation and great coding energy!

For those who missed it: py4dgeo is an open-source Python library specifically designed for 3D/4D point cloud analysis and change detection. It provides efficient tools and methods for processing multitemporal point cloud data. You can find the source code, documentation, and try it out yourself on GitHub: https://github.com/3dgeo-heidelberg/py4dgeo

We want to thank everyone who attended our presentations, visited the TUM booth, or joined the tutorial. See you at the next event!