Tag: geospatial data

This post introduces the Geospatial Power Pack, a Kiro power package that turns Kiro into a unified, AI-assisted geospatial workspace. Kiro is an agentic development environment created by Amazon Web Services (AWS). It helps developers and teams turn prompts into executable specs, validate code correctness to find bugs that unit tests miss, and build across large codebases with parallel agents that learn from every session.

The Amazon Web Servies (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets freely available for analysis, helping researchers and developers worldwide access critical data without cost barriers.

In this blog, learn how NASA’s Earth Science Data and Information System (ESDIS) is migrating over 170 petabytes of Earth science data to AWS to provide equitable access to researchers worldwide, eliminating the “data fortress” problem while achieving significant cost efficiencies through intelligent tiering, serverless architecture, and economies of scale. The post also details how NASA made over 6,000 Earth Science collections visible in the Registry of Open Data on AWS, enabling seamless discovery and analysis for the broader AWS user community.

Monitoring agricultural practices across Canada’s vast landscape is essential for preserving soil health and water quality. To address this challenge at scale, Agriculture and Agri-Food Canada (AAFC) collaborated with AWS to build a cloud-based proof of concept (PoC) solution that processes synthetic aperture radar (SAR) satellite imagery, which can detect changes in agricultural land use and tillage practices.

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). AWS works with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-based techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. Through the AWS Open Data Sponsorship Program, customers are making over 300 PB of high-value, cloud-optimized data available for public use.

This post explores how AI agents powered by Strands Agents on AWS can transform geospatial workflows, making spatial data accessible to any government worker through natural language interactions.

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. AWS works with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-based techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. Through the AWS Open Data Sponsorship Program, customers are making over 300 PB of high-value, cloud-optimized data available for public use.

Open data is reshaping how we understand and respond to global challenges. From climate change to disaster recovery, the ability to access and analyze large-scale geospatial datasets is critical for scientific research, policy-making, and real-world applications. Leading the charge are several open data initiatives designed to lower access barriers and accelerate innovation: Open Data on AWS, the Amazon Sustainability Data Initiative (ASDI), and the Maxar Open Data Program on AWS. Together, these programs demonstrate the power of cloud-enabled open data to democratize access to geospatial information, promote global collaboration, and drive real-world impact. In this post, we demonstrate how to explore and visualize these datasets using interactive web applications and Jupyter notebooks.

Kansas State University (K-State)—In collaboration with AWS and AWS Partner, ROK Technologies—is developing Geocat: a scalable, cloud-native ArcGIS Enterprise platform. Designed to serve students, faculty, and extension professionals, Geocat is advancing K-State’s land-grant mission by making cutting-edge geospatial infrastructure accessible across the university and beyond.

In this post, we discuss how to use datasets in the Registry of Open Data on AWS with Amazon Bedrock Knowledge Bases. With Amazon Bedrock Knowledge Bases, you can give foundation models (FMs) and agents contextual information from private and public data sources to deliver more relevant, accurate, and customized responses.