AWS Public Sector Blog
Tag: ASDI
Earth Science Information Partners: Promoting innovation for Earth science data
The Earth Science Information Partners (ESIP) is a US-based nonprofit organization funded by NASA, NOAA, and the USGS. ESIP is playing a critical role in facilitating collaborative efforts to improve the collection, stewardship, and use of Earth science data and information. As part of the Amazon Sustainability Data Initiative, we invited Dr. Annie Burgess, ESIP Lab Director, to share the story of how ESIP is advancing knowledge of Earth-system science.
Announcing Cloud Grants to Improve Understanding of Our Planet
The Group on Earth Observations (GEO) announced the 21 projects from 17 developing countries that will be awarded $1.5 million USD worth of cloud services, grants, and technical support through the Earth Observation Cloud Credits Programme. Under the Amazon Sustainability Data Initiative (ASDI), this programme will enable Earth observations and applications to support sustainable environmental development including the United Nations Sustainable Development Goals, the Sendai Framework for Disaster Risk Reduction, and the Paris Agreement on Climate Change.
Geo-Diverse Open Training Data as a Global Public Good
Radiant Earth Foundation is a nonprofit focused on delivering open geospatial data and analytics to the global development community (GDC) in support of their missions to address the Sustainable Development Goals (SDGs) and other key targets. Radiant Earth supports GDC by aggregating open geospatial data and providing access through its cloud-based platform, generating open Earth Observation (EO) machine learning tools and training data libraries, and creating new metadata standards through its MLHub Earth initiative. Additionally, the organization offers training resources to support capacity development and expertise in the geospatial and remote sensing sciences.
Maritime Operations – Automating Operational Quality Assurance with AWS and Open Data
nauticAi is a maritime startup from Finland, specializing in affordable intelligent awareness solutions for ship operators. The company’s BOQA-solution (Bridge Operations Quality Assurance) automates the Operational Quality Assurance of maritime operations with proven methods from the flight industry. A few key components in their solution include open weather data from NOAA and Finnish FMI, Internet of Things (IoT) technology, and a serverless AWS architecture using AWS Lambda and Amazon Aurora. As part of the Amazon Sustainability Data Initiative, we invited Capt. Henrik Ramm-Schmidt, CEO and founder of nauticAi, to share the story of nauticAi with us.
BlueDot Observatory – keeping an eye on our planet’s water resources
Managing water crises is one of the Sustainable Development Goals and the decline in the available quality and quantity of fresh water is ranked as one of the top ten most serious societal risks by the World Economic Forum’s 2018 Global Risks report. Using satellite imagery available through the AWS Open Data Program and the AWS Cloud, BlueDot Observatory is establishing a global monitoring system for all at-risk water bodies. This monitoring reveals a sad truth – the total loss of water bodies is in the not too distant future.
We invited Anze Zupanc, a data scientist who manages the BlueDot Observatory at Sinergise, to share how the AWS Open Data Program and the Amazon Sustainability Data Initiative support this work.
Ready to Use Future Climate Information
The climate data factory is a French startup working on making future climate information easily accessible. The team believes that easy access to actionable data of future climate conditions is essential to fight climate change. Read on for the Q&A with Dr. Harilaos Loukos of the climate data factory on how we can best make use of data.
The Amazon Sustainability Data Initiative: Driving sustainability innovation with open data and cloud technology
Amazon today announced the Amazon Sustainability Data Initiative to promote sustainability research, innovation, and problem solving by making key data easily accessible and even more widely available. The Amazon Sustainability Data Initiative leverages Amazon Web Services’ technology and scalable infrastructure to stage, analyze, and distribute data, and is a joint effort between the AWS Open Data and Amazon Sustainability teams.
StormSense: Automated Flood Alerts Using Integrated Real-Time IoT Sensors
Coastal communities in the Southern United States are frequently impacted by flooding from storm surge, rain, and tides. To help monitor and enhance flood emergency preparedness, the Virginia Institute of Marine Science (VIMS) at the College of William & Mary has been providing tidal forecasts since 2012 for a dozen locations in the lower Chesapeake Bay through its VIMS TideWatch Network. To expand and enhance these capabilities along Virginia’s seaside Eastern Shore, VIMS developed StormSense. The StormSense project works closely with coastal local governments leveraging a network of Internet of Things (IoT)-enabled water level sensors, VIMS’s hydrodynamic flood modeling and forecasting capabilities, and the VIMS TideWatch Network to improve flood resilience in the region.
Satellites Help Make Agricultural Systems Transparent and Sustainable
GREENSPIN is a startup company from Würzburg, Germany, that works in the area of data analytics for better agriculture. In this blog post, Dr. Sebastian Fritsch tells us how GREENSPIN is using Earth Observation data available via the Registry of Open Data on AWS to improve agricultural practices. Check out the Q&A with Dr. Sebastian Fritsch from GREENSPIN.
Estimating Hurricane Wind Speeds with Machine Learning
Better estimates of hurricane wind speeds can lead to better decisions around evacuations and general hurricane response planning, saving both lives and property. Hurricane windspeed estimates are currently made using the manual Dvorak technique. The National Hurricane Center releases them every three to six hours. Artificial intelligence (AI) experts with the IMPACT team at NASA’s Marshall Space Flight Center and Development Seed created the Deep Learning-Based Hurricane Intensity Estimator to automate this process.