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CHALLENGE: SUSTAINABLE URBAN PLANNING
The UP42 Airbus Sustainable Urban Planning Challenge aims to develop algorithms or methodologies that use remote sensing to quantify critical issues emerging from the expansion of historic centres toward modern suburbs.
Examples:
The increasing number of structures that have an impact on non-renewable resources (water, vegetation, land)
The uneven distribution of green sites
Wasted spaces to be repurposed as green or residential areas
We encourage you to consider other use cases that better leverage the most diverse data available on the UP42 platform.
During the submission phase, you’ll get access to the following:
Industry-leading geospatial data
Cloud infrastructure
Off-the-shelf algorithms
Winners may become official UP42 partners and get their solutions included in our global marketplace.
ESA seeks entries that can demonstrate state-of-the-art technologies in EO, such as artificial intelligence, Internet of Things, DLT/blockchain, AR/VR/XR, mobile technology, Cybersec and Future of Cloud (hybrid/edge computing, confidential computing, and federated/decentralised computing) for Digital Copernicus. These enable the development of new products and services and address opportunities resulting from the European digital transformation.
Evaluation Criteria Successful applicants will have identified a promising (possibly not fully developed) frontier technology to be applied to new or yet-to-be-developed products or applications using Copernicus data, or have developed a unique value proposition of frontier technology for Copernicus but not yet created a market-ready product.
Background Necessary teamwork and skill set and their credibility in selected frontier technology domains. Team composition and demonstrated technical competence balance of EO and other tech domains to achieve desired innovation impact.
Solution Description Clarity and applicability of the solution to the specific problem to be solved. Relevant market analysis.
Technical Feasibility Is the solution technically sound and implementable at scale? Is the engineering approach credible?
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