blogs.helmholtz.de/research-field-information/en/2025/05/07/terramind-a-breakthrough-multimodal-model-for-global-scale-earth-observation
Preview meta tags from the blogs.helmholtz.de website.
Linked Hostnames
10- 37 links toblogs.helmholtz.de
- 2 links toarxiv.org
- 1 link todoi.org
- 1 link tohuggingface.co
- 1 link toinformation.helmholtz.de
- 1 link totwitter.com
- 1 link towww.facebook.com
- 1 link towww.fast-eo.eu
Thumbnail
Search Engine Appearance
TerraMind: A Breakthrough Multimodal Model for Global-Scale Earth Observation
What does our planet really look like – and how is it changing? TerraMind is a groundbreaking AI model that intelligently connects various Earth observation data, including satellite imagery, elevation models, and land use maps. Developed by researchers at the Jülich Supercomputing Centre, it is designed to help better understand environmental changes and support informed decision-making in the future. The FAST-EO project has released the TerraMind AI foundation model, the first any-to-any generative, multimodal foundation model for Earth observation, integrating satellite imagery, elevation data, land use maps, and natural language descriptions. TerraMind was pretrained both on token-level and pixel-level data across…
Bing
TerraMind: A Breakthrough Multimodal Model for Global-Scale Earth Observation
What does our planet really look like – and how is it changing? TerraMind is a groundbreaking AI model that intelligently connects various Earth observation data, including satellite imagery, elevation models, and land use maps. Developed by researchers at the Jülich Supercomputing Centre, it is designed to help better understand environmental changes and support informed decision-making in the future. The FAST-EO project has released the TerraMind AI foundation model, the first any-to-any generative, multimodal foundation model for Earth observation, integrating satellite imagery, elevation data, land use maps, and natural language descriptions. TerraMind was pretrained both on token-level and pixel-level data across…
DuckDuckGo
TerraMind: A Breakthrough Multimodal Model for Global-Scale Earth Observation
What does our planet really look like – and how is it changing? TerraMind is a groundbreaking AI model that intelligently connects various Earth observation data, including satellite imagery, elevation models, and land use maps. Developed by researchers at the Jülich Supercomputing Centre, it is designed to help better understand environmental changes and support informed decision-making in the future. The FAST-EO project has released the TerraMind AI foundation model, the first any-to-any generative, multimodal foundation model for Earth observation, integrating satellite imagery, elevation data, land use maps, and natural language descriptions. TerraMind was pretrained both on token-level and pixel-level data across…
General Meta Tags
6- titleTerraMind: A Breakthrough Multimodal Model for Global-Scale Earth Observation – Kompass des Forschungsbereichs Information
- charsetutf-8
- viewportwidth=device-width, initial-scale=1
- robotsmax-image-preview:large
- fediverse:creator
Open Graph Meta Tags
7- og:typearticle
- og:urlhttps://blogs.helmholtz.de/research-field-information/en/2025/05/07/terramind-a-breakthrough-multimodal-model-for-global-scale-earth-observation/
- og:titleTerraMind: A Breakthrough Multimodal Model for Global-Scale Earth Observation
- og:site_nameCompass of the Research Field Information
- og:descriptionWhat does our planet really look like – and how is it changing? TerraMind is a groundbreaking AI model that intelligently connects various Earth observation data, including satellite imagery, elevation models, and land use maps. Developed by researchers at the Jülich Supercomputing Centre, it is designed to help better understand environmental changes and support informed decision-making in the future. The FAST-EO project has released the TerraMind AI foundation model, the first any-to-any generative, multimodal foundation model for Earth observation, integrating satellite imagery, elevation data, land use maps, and natural language descriptions. TerraMind was pretrained both on token-level and pixel-level data across…
Twitter Meta Tags
2- twitter:text:titleTerraMind: A Breakthrough Multimodal Model for Global-Scale Earth Observation
- twitter:imagehttps://blogs.helmholtz.de/research-field-information/wp-content/uploads/sites/30/2025/05/great_formatiert-1-768x388.png
Link Tags
10- alternatehttps://blogs.helmholtz.de/research-field-information/wp-json/wp/v2/posts/5325
- alternatehttps://blogs.helmholtz.de/research-field-information/wp-json/oembed/1.0/embed?url=https%3A%2F%2Fblogs.helmholtz.de%2Fresearch-field-information%2Fen%2F2025%2F05%2F07%2Fterramind-a-breakthrough-multimodal-model-for-global-scale-earth-observation%2F
- alternatehttps://blogs.helmholtz.de/research-field-information/wp-json/oembed/1.0/embed?url=https%3A%2F%2Fblogs.helmholtz.de%2Fresearch-field-information%2Fen%2F2025%2F05%2F07%2Fterramind-a-breakthrough-multimodal-model-for-global-scale-earth-observation%2F&format=xml
- alternatehttps://blogs.helmholtz.de/research-field-information/?p=5325
- amphtmlhttps://blogs.helmholtz.de/research-field-information/en/2025/05/07/terramind-a-breakthrough-multimodal-model-for-global-scale-earth-observation/?amp=1
Website Locales
2
dehttps://blogs.helmholtz.de/research-field-information/2025/05/07/terramind-bahnbrechendes-multimodales-modell-fuer-die-globale-erdbeobachtung/
enhttps://blogs.helmholtz.de/research-field-information/en/2025/05/07/terramind-a-breakthrough-multimodal-model-for-global-scale-earth-observation/
Emails
3- [email protected]
- [email protected]
- ?subject=TerraMind%3A+A+Breakthrough+Multimodal+Model+for+Global-Scale+Earth+Observation&body=Link:https%3A%2F%2Fblogs.helmholtz.de%2Fresearch-field-information%2Fen%2F2025%2F05%2F07%2Fterramind-a-breakthrough-multimodal-model-for-global-scale-earth-observation%2F
Links
47- https://arxiv.org/abs/2412.04204
- https://arxiv.org/pdf/2504.11171
- https://blogs.helmholtz.de
- https://blogs.helmholtz.de/79-grad-nord/en
- https://blogs.helmholtz.de/astroteilchen/en