AWS Public Sector Blog
Tag: climate
Analyzing climate risk models on AWS to prevent future food insecurity in Nigeria
The Climate Risk Research Foundation is a nonprofit that supports data-driven climate research. Their goal is to help decision-makers identify the potential impact and magnitude of climate-related risks and develop possible mitigation strategies. We chatted with the organization’s chairman, Brendan Reilly, to learn how its Sustainable Africa Initiative (SAI) is empowering agricultural experts in Nigeria to analyze climate risk models on Amazon Web Services (AWS) to prevent future food insecurity in their local communities.
21 new or updated datasets available on the Registry of Open Data on AWS
The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. Through this program, customers are making more than 100 petabytes (PB) of high-value, cloud-optimized data available for public use. This past quarter, AWS released 21 new or updated datasets. What will you build with these datasets?
How using cloud technology can help your organization meet sustainability goals
The right cloud technology leads to more sustainable IT and business operations. As a foundation for innovation, the cloud supports the delivery of sustainable products, services, and business models, and gives organizations the opportunity to transform themselves with sustainability at the core of their operation. The scope of the cloud’s role in sustainability is highlighted in a recent series of AWS Institute masterclasses and summarized in this blog post.
34 new or updated datasets available on the Registry of Open Data on AWS
The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. Through this program, customers are making more than 100 petabytes (PB) of high-value, cloud-optimized data available for public use. Read this blog post to learn about the 34 new or updated datasets that were released in the first quarter.
Estimating physical climate heat risk with NASA Global Daily Downscaled Projections on ASDI
Climate risk consists of transition risk and physical risk. Transition risk represents regulatory and market-based risks while physical climate risk covers climate-related earth processes and its effects on the built and natural environment. In this blog post, we highlight how to use Amazon Web Services (AWS) to enrich your asset portfolio with open climate data hosted in AWS.
SeloVerde uses geospatial big data and AI/ML to monitor deforestation in supply chains, powered by AWS
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.
34 new or updated datasets available on the Registry of Open Data on AWS
This quarter, AWS released 34 new or updated datasets on the Register of Open Data. What will you build with these datasets? Read through this blog post for inspiration.
Innovating for a more sustainable future: Practical examples from two Nordic organizations
Two Nordic-based organizations are using AWS to reach ambitious sustainability goals. Recently at the AWS Summit Stockholm, leaders from Finland’s Posti Group and Sweden’s Stockholm Exergi shared how they’re using cloud technology to innovate the full end-to-end value chain of their services, and create a culture of shared responsibility for sustainable solutions for their customers and beyond.
How to detect wildfire smoke using Amazon Rekognition
Since wildfires can double in size and intensity every three to five minutes, early detection and reduced response times are essential. Cloud technologies, including artificial intelligence (AI) and machine learning (ML), can help with this. Learn a high-level architecture to create a solution with AWS that uses AI to identify and classify wildfire smoke imagery and then rapidly alert and inform first responders about the location and condition of a fire incident.
How to store historical geospatial data in AWS for quick retrieval
Learn how to store historical geospatial data, such as weather data, on AWS using Amazon DynamoDB. This approach allows for virtually unlimited amounts of data storage combined with query performance fast enough to support an interactive UI. This approach can also filter by date or by location, and enables time- and cost- efficient querying.