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Description
Albatross serves as a comprehensive platform for managing geospatial data, allowing businesses to consolidate the processes of ordering, accessing, storing, and collaborating on satellite imagery and spatial information. By providing a seamless interface, it empowers teams to enhance their workflows, enabling users to efficiently search through satellite archives while applying filters based on criteria such as cloud cover and resolution, and to place orders accompanied by transparent pricing details.
The platform also promotes effective collaboration among team members by implementing permission-based access controls, shared workspaces, and tailored approval processes that uphold data governance practices. Albatross connects users to a diverse array of high-resolution optical, multispectral, and historical data sourced from various satellite constellations, offering flexible delivery options including both rush and premium services. Furthermore, with its all-inclusive dashboard, Albatross streamlines the monitoring of orders, tracking of deliveries, and access to historical records, all from a single, user-friendly location. This holistic approach not only simplifies data management but also enhances overall productivity for organizations leveraging geospatial insights.
Description
AlphaEarth Foundations, a cutting-edge AI model developed by DeepMind, functions as a "virtual satellite" by synthesizing extensive and diverse Earth observation data, which includes optical and radar imagery, 3D laser mapping, and climate simulations, into a compact and unified embedding for every 10x10 meter area of land and coastal regions. This innovative approach allows for efficient, on-demand mapping of planet-wide terrains while significantly reducing storage requirements compared to earlier systems. By merging various data streams, it adeptly addresses issues of data overload and inconsistencies, resulting in summaries that are 16 times smaller than those generated by traditional methods, all while achieving a remarkable 24% reduction in error for tested tasks, even in scenarios where labeled data is limited. The annual collections of embeddings are made available as the Satellite Embedding dataset on Google Earth Engine, and they are already being utilized by various organizations to classify previously unmapped ecosystems and to monitor changes in agriculture and the environment, showcasing the practical applications of this groundbreaking technology. This model not only enhances our understanding of Earth’s complexities but also paves the way for future advancements in environmental monitoring and conservation efforts.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
AlphaCode
Gemini
Gemini Enterprise
Google Earth Engine
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Terrabit
Founded
2025
Country
Australia
Website
terrabit.com.au
Vendor Details
Company Name
Google DeepMind
Founded
2010
Country
United States
Website
deepmind.google/discover/blog/alphaearth-foundations-helps-map-our-planet-in-unprecedented-detail/
Product Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis