Tag: satellite

This post shows how Amazon Web Services (AWS) Ground Station customers can start using the Contacts dashboard for AWS Ground Station solution to fulfill their AWS Ground Station reporting and tracking needs. This solution automatically maps AWS Ground Station contacts to their associated costs and provides a feature-rich dashboard reporting capability.

In this post, we explore how Amazon Web Services (AWS) cloud-based technologies can be used to address diversified and dynamic water challenges in Europe, the Middle East, and Africa. As climate change and demographic shifts continue to strain water resources, the need for innovative, technology-driven solutions has never been more urgent.

Amazon Web Services (AWS) is investing $4 million to support the work of the HALO Trust and trial the use of artificial intelligence (AI) with drone imagery to locate minefields and other explosive remnants of war in Ukraine. Innovating with AWS will enable HALO to make wider use of the high-resolution drone footage it collects, including testing machine learning (ML) models for identifying mines.

In this blog post, learn how companies operating in AWS can design architectures that maximize flexibility so they can support both cloud and on-premises deployment use cases for their satellite imagery processing workloads with minimal modifications. 

Open source geospatial artificial intelligence (AI) and machine learning (ML) analyses along with Internet of Things (IoT)-connected sensors can power near real-time data built on the cloud and assist in decision-making. Read this blog post to learn how Amazon Web Services (AWS) is supporting the Government of Pará, Brazil, in designing and deploying SeloVerde (Green Seal), a cutting-edge tool to address climate change challenges and traceability in deforestation-risk supply chains.

This blog summarizes some of the benefits of cloud-based ground segment architectures, and demonstrates how users can build a proof-of-concept using AWS Ground Station’s capability to transport and deliver Wideband Digital Intermediate Frequency (DigIF) data, along with the software-defined radio Blink, built by the AWS Partner Amphinicy.

Approximately 400 kilometers above the Earth’s surface, Japan Manned Space Systems Corporation (JAMSS) used an AWS Snowcone SSD onboard the International Space Station (ISS) to quickly and autonomously transmit large volumes of data from space back on the ground into AWS. The AWS Snowcone, which arrived on the ISS in July 2022 as part of the first Axiom Space Mission (Ax-1), is available to power on-orbit data processing experiments for researchers, students, and scientific organizations.

Geospatial data, including many climate and weather datasets, are often released by government and nonprofit organizations in compressed file formats such as the Network Common Data Form (NetCDF) or GRIdded Binary (GRIB). As the complexity and size of geospatial datasets continue to grow, it is more time- and cost-efficient to leave the files in one place, virtually query the data, and download only the subset that is needed locally. Unlike legacy file formats, the cloud-native Zarr format is designed for virtual and efficient access to compressed chunks of data saved in a central location such as Amazon S3. In this walkthrough, learn how to convert NetCDF datasets to Zarr using an Amazon SageMaker notebook and an AWS Fargate cluster and query the resulting Zarr store, reducing the time required for time series queries from minutes to seconds.

Asia Satellite Telecommunications Company Limited (AsiaSat), a leading satellite solutions provider, together with its subsidiary One Click Go Live (OCGL) use AWS for live streaming and to roll out new applications and services swiftly without the need to worry about infrastructure stability and scalability. Using AWS solutions, OCGL is able to provide innovative and highly reliable services to global customers and enhance real-time viewing experiences.

Satellite communications (satcom) networks typically offer a rich set of performance metrics, such as signal-to-noise ratio (SNR) and bandwidth delivered by remote terminals on land, sea, or air. Customers can use performance metrics to detect network and terminal anomalies and identify trends to impact business outcomes. This walkthrough presents an approach using serverless resources from AWS to build satcom control plane analytics pipelines. The presented architecture transforms the data to extract key performance indicators (KPIs) of interest, renders them in business intelligence tools, and applies machine learning (ML) to flag unexpected SNR deviations.