AWS Public Sector Blog

Tag: satellite

AWS announces 2023 AWS Space Accelerator to advance global space sustainability

Now in its third year, the AWS Space Accelerator is a hybrid technical, business, and mentorship opportunity open to space startups from around the globe who are looking to power their space missions using AWS. In 2023, the AWS Space Accelerator will call on teams and resources across Amazon to help emerging startups focus on cloud-powered solutions that support the use of space as a sustainable and usable environment for years to come, as well as solutions that positively impact life on Earth. The application period for the 2023 AWS Space Accelerator opens today, with proposals due by March 6, 2023.

Scientist looks at an image of a brain scan on a computer.

34 new or updated datasets on the Registry of Open Data: New data for land use, Alzheimer’s Disease, and more

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. This quarter, AWS released 34 new or updated datasets from Impact Observatory, The Allen Institute for Brain Science, Common Screens, and others, which are available now on the Registry of Open Data in the following categories.

UAE Space Agreement Signing

United Arab Emirates Space Agency and AWS sign agreement to support long-term growth in the region’s space ecosystem 

The United Arab Emirates Space Agency and AWS have signed a Statement of Strategic Intent and Cooperation that is designed to support the creation of a vibrant, sustainable, competitive, and innovative space sector in the United Arab Emirates (UAE). AWS will collaborate with the United Arab Emirates Space Agency and related UAE government space organizations on three initiatives designed to support the Space Agency’s long-term development goals.

AWS successfully runs AWS compute and machine learning services on an orbiting satellite in a first-of-its kind space experiment

At re:Invent 2022, AWS announced that it successfully ran a suite of AWS compute and machine learning (ML) software on an orbiting satellite, in a first-of-its-kind space experiment. The experiment, conducted over the past 10 months in low Earth orbit (LEO), was designed to test a faster, more efficient method for customers to collect and analyze valuable space data directly on their orbiting satellites using the cloud.

AWS and Project Kuiper to support the US military’s Hybrid Space Architecture project

Whether on land, in air, or at sea, having connectivity and access to information in the field is critical for the US Department of Defense (DoD). Satellite communications systems provide the DoD with critical capabilities—from delivering satellite imagery to enabling communications—that support military users operating around the globe. Now, as part of a new DoD research and development effort, AWS and Amazon’s Project Kuiper will help shape the future of global, ubiquitous, and secure internet connectivity throughout the space domain for the United States and its allies.

22 new or updated open datasets on AWS: New polar satellite data, blockchain data, and more

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. The full list of publicly available datasets are on the Registry of Open Data on AWS and are now also discoverable on AWS Data Exchange. This quarter, AWS released 22 new or updated datasets including Amazonia-1 imagery, Bitcoin and Ethereum data, and elevation data over the Arctic and Antarctica. Check out some highlights.

Nara Space uses AWS to improve satellite image quality up to three times with deep learning

Nara Space Technology is a South Korea-based startup that builds nano satellite constellations and provides satellite data services to let customers quickly identify and address issues like changing climate conditions and disaster recovery to improve life on Earth. Nara Space provides solutions for nano satellite and small spacecraft system design, integration, development, and testing; enables satellite data analytics based on deep learning; and improves the visual quality of standard satellite imagery with its Super Resolution core technology. To do this, Nara Space uses AWS for secure, flexible, scalable, and cost-efficient cloud solutions.

How Satellogic and AWS are harnessing the power of space and cloud

Satellogic is a leader in high-resolution Earth observation (EO) data collection. The company is creating a live catalog of Earth and delivering daily updates to create a complete picture of changes to our planet for decision makers. Watch a new video to understand how Satellogic uses AWS Ground Station and the AWS Cloud to democratize access to EO data that’s being used for high-impact missions.

Virtualizing satellite communication operations with AWS

Virtualizing the satellite ground station with cloud technology can increase scalability, flexibility, and operational agility for satellite communications (satcom) operations. This blog post describes how AWS can help satcom customers virtualize their ground stations that are directly connected to satellite antenna systems. This post details the benefits of decoupling satellite ground station hardware and software components to improve scalability and flexibility. This post also presents a reference architecture to virtualize the satcom ground segment after the satellite signal is digitized at both ends of communication.

How public sector organizations use AWS to build sustainability solutions

The cloud offers transformative solutions to address sustainability challenges, enabling organizations to increase productivity, efficiency, and cost savings, as well as reduce emissions and waste. The cloud also enables data analytics and research at scale, allowing us to better understand and track key climate metrics required for fighting climate change. From smart devices that track water and energy consumption, to machine learning and artificial intelligence to support sustainable farming, organizations across the globe are using AWS to meet their sustainability goals.