Towards Multi Modal Geospatial Foundation Models With Multiple Resolutions
- 2024
- AGU 2024
Benedikt Blumenstiel
Title
Research Software Engineer
Publications
4M4EO – Massively Multi-Modal Masked Autoencoders for Earth Observation
- 2024
- AGU 2024
Downstream Applications on Prithvi: A Foundation Model for Global Geospatial Data
- Daniela Szwarcman
- Christopher Phillips
- et al.
- 2024
- AGU 2024
Prithvi V1.0: Generalist Geospatial Foundation Model on Global HLS Data
- Daniela Szwarcman
- Sujit Roy
- et al.
- 2024
- AGU 2024
MS-CLIP: Multi-spectral Vision Language Learning for Earth Observation
- 2024
- AGU 2024
TensorLakeHouse: A High-Performance, Open-Source Platform for Accelerated Geospatial Data Management with Hierarchical Statistical Indices
- Romeo Kienzler
- Leonardo P. Tizzei
- et al.
- 2024
- AGU 2024
Multi-Spectral Remote Sensing Image Retrieval using Geospatial Foundation Models
- Benedikt Blumenstiel
- Viktoria Moor
- et al.
- 2024
- IGARSS 2024
TensorBank: Tensor Lakehouse for Foundation Model Training
- Romeo Kienzler
- Johannes Schmude
- et al.
- 2023
- Big Data 2023
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
- 2023
- NeurIPS 2023
Blog posts
Simplifying geospatial AI with TerraTorch 1.0
Technical noteRomeo Kienzler, Juan Bernabé-Moreno, Paolo Fraccaro, Bianca Zadrozny, Campbell Watson, Benedikt Blumenstiel, Joao Lucas de Sousa Almeida, Michael Johnston, Christian Pinto, and Michal Muszynski
Top collaborators
PF
Paolo Fraccaro
Senior Research Scientist in AI
JJ
Johannes Jakubik
Staff Research Scientist | AI for Climate Impact
NS
Naomi Simumba
Research Scientist
TB
Thomas Brunschwiler
Principal Research Scientist and Manager, AI for Climate Impact (ACT)