The UN has named 17 goals that will help boost sustainable development worldwide. We need passionate participants who can leverage our platform and imagery for geospatial projects supporting work in disaster response, food security, poverty elimination, ending malaria, to name a few.
DigitalGlobe, a Maxar Technologies company, with support from Amazon Web Services, is pleased to announce the winners of the GBDX for Sustainability Challenge. From over 70 submissions, these are top five teams proposing bold ideas using geospatial big data in support of the Sustainable Development Goals. Each team had two months to build out their respective projects, and our judges selected overall winners below.
University of Amsterdam, Trinity College Dublin, University College Dublin, Ernst & Young Netherlands, Xomnia
Urban green space is the backbone of a sustainable city and a widely cited indicator to assess urban environments. Greenery helps restore mental and physical wellbeing and offers vital ecosystem services such as improving air quality, reducing urban temperatures, sequestering carbon, and storing excess rain water. The challenges of rapid urbanization can easily be addressed by adding green space in cities, but quantity does not necessarily translate to quality. Global Green City Watch (GGCW) combines computer vision and object-based image analysis on high resolution satellite imagery to enable citizens and local governments to understand the quality of urban green space across the world ‒ empowering them to make evidence-based decisions about and improve the functioning of critical green space.Read the blog
UNICEF, Big Pixel Initiative at UC San Diego, Development Seed
UNICEF is mapping every school in the world and building a visualization tool to show their connectivity in real-time (www.projectconnect.world). Having this base layer of information allows us to know what are the connectivity and infrastructure gaps that we need to address in order to improve children’s access to information and education. It also allows us to do many other things such as measuring vulnerabilities and improving our emergency response and resilience against natural disasters and crises.
Partnering with Development Seed and UC San Diego's Big Pixel Initiative, we are developing Convolutional Neural Network-based classification algorithms which take advantage of underlying patterns recognized from the very high resolution satellite imagery to extract school locations. The results of this project including the classification algorithms and analysis based on the data product will be shared through our open-source data platform, Magic Box.
Bill & Melinda Gates Foundation
World Economic Forum
Digital Impact Alliance
• Challenge Launch: November 30th
• Submission Deadline: 5pm EST, January 12th
• Accepted Submissions Announced: February 1st
• GBDX Project Submission Deadline: 5 pm EST, April 12th
• Final Winners Announced: End of April
Successful submissions will be determined by the following criteria:
• Does this directly support the SDGs?
• Does this contribute to open derivatives and/or open algorithms?
• Is this an innovative use of machine learning and high-resolution imagery?
• Does the team have the necessary skills and expertise to successfully deliver on their idea?
Successful submissions will be granted access to DigitalGlobe’s geospatial big data platform, GBDX, for two months to test their project concepts. Projects will be judged by the criteria above and winners will be announced on April 16th. Winners will have the opportunity to showcase their work at a World Bank hosted event in Washington, DC.