Prithvi V1.0: Generalist Geospatial Foundation Model on Global HLS DataDaniela SzwarcmanSujit Royet al.2024AGU 2024Talk
Downstream Applications on Prithvi: A Foundation Model for Global Geospatial DataDaniela SzwarcmanChristopher Phillipset al.2024AGU 2024Talk
TensorLakeHouse: A High-Performance, Open-Source Platform for Accelerated Geospatial Data Management with Hierarchical Statistical IndicesRomeo KienzlerLeonardo P. Tizzeiet al.2024AGU 2024Poster
Multi-Spectral Remote Sensing Image Retrieval using Geospatial Foundation ModelsBenedikt BlumenstielViktoria Mooret al.2024IGARSS 2024Conference paper
TensorBank: Tensor Lakehouse for Foundation Model TrainingRomeo KienzlerJohannes Schmudeet al.2023Big Data 2023Short paper
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic SegmentationBenedikt BlumenstielJohannes Jakubiket al.2023NeurIPS 2023Conference paper
IBM and ESA open-source AI models trained on a new dataset for analyzing extreme floods and wildfires ReleaseKim Martineau25 Nov 2025Accelerated DiscoveryAIGenerative AI
Introducing Thinking-in-Modalities with TerraMindTechnical noteBenedikt Blumenstiel and Johannes Jakubik20 Oct 2025AIPhysical Sciences
Simplifying geospatial AI with TerraTorch 1.0Technical noteRomeo Kienzler, Juan Bernabé-Moreno, Paolo Fraccaro, Bianca Zadrozny, Campbell Watson, Benedikt Blumenstiel, Joao Lucas de Sousa Almeida, Michael Johnston, Christian Pinto, and Michal Muszynski03 Apr 2025AIClimate and SustainabilityFoundation ModelsOpen Source
TBThomas BrunschwilerPrincipal Research Scientist and Manager, MAT - Modeling & Algorithms for impacT