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What is MapTiler?

Discover an extensive global street and satellite mapping platform that allows for seamless language switching, color scheme adjustments, and font selections to enhance your visual maps. You can personalize your maps, upload your own geospatial datasets, or generate new data for online publication. In addition, the tool offers features to crop, modify colors, or combine multiple images for a distinct representation. These maps can be integrated into websites or used within GIS applications, catering to various user needs. For those who prefer a command line interface, the MapTiler Engine can be integrated into your software solutions. The MapTiler manual provides detailed examples and technical support to guide users effectively. Additionally, the MapTiler Engine is designed for easy integration into products for commercial distribution. You can conveniently access the application and all necessary dependencies through a Docker container. With a straightforward command, you can install the MapTiler Engine on any Linux system, enabling you to publish maps straight from your server or laptop. This allows you to operate your own map server with global data securely behind a firewall while also benefiting from complete offline functionality. Furthermore, converting images into maps directly on your local machine is achievable, and you can even process satellite imagery from across the globe using a computing cluster, showcasing the tool's adaptability for diverse mapping applications. This extensive flexibility guarantees that you can tailor the software to meet the unique requirements of your specific projects effectively. Whether you are a casual user or a professional, this mapping tool offers the versatility needed to succeed in your endeavors.

What is AlphaEarth Foundations?

AlphaEarth Foundations, an advanced AI model launched by DeepMind, operates as a "virtual satellite" by integrating a wide array of Earth observation data, including optical and radar imagery, 3D laser mapping, and climate simulations, into a cohesive and compact embedding for every 10x10 meter segment of land and coastal areas. This state-of-the-art method enables rapid, on-demand mapping of global landscapes while significantly minimizing storage needs compared to previous systems. By combining diverse data sources, it effectively tackles the challenges of data overload and inconsistencies, resulting in summaries that are 16 times more compact than those produced by conventional approaches, while also achieving an impressive 24% reduction in errors for various tasks, even when faced with limited labeled data. The embeddings, compiled annually, are released as the Satellite Embedding dataset on Google Earth Engine, and they have already been leveraged by numerous organizations to identify previously uncharted ecosystems and to track agricultural and environmental changes, demonstrating the real-world utility of this innovative technology. Furthermore, this model not only deepens our comprehension of Earth's intricate dynamics but also sets the stage for upcoming improvements in environmental oversight and conservation initiatives, highlighting its transformative potential in the field.

Media

Media

Integrations Supported

AlphaCode
Amazon S3
Docker
Gemini
Gemini Enterprise
Google Cloud Platform
Google Earth Engine
MetaLocator
Microsoft Azure

Integrations Supported

AlphaCode
Amazon S3
Docker
Gemini
Gemini Enterprise
Google Cloud Platform
Google Earth Engine
MetaLocator
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MapTiler

Company Location

Switzerland

Company Website

www.maptiler.com

Company Facts

Organization Name

Google DeepMind

Date Founded

2010

Company Location

United States

Company Website

deepmind.google/discover/blog/alphaearth-foundations-helps-map-our-planet-in-unprecedented-detail/

Categories and 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

Categories and Features

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