Microsoft and Planet to provide AI and satellite data for African climate projects

Planet Labs PBC (NYSE: PL), a leading provider of daily data and insights about Earth, and Microsoft Corp. announced an expanded partnership to apply artificial intelligence (AI) technology and satellite data to support African climate adaptation projects. This technology collaboration is in support of Microsoft's recently-announced first global expansion of its AI for Good Labs into Nairobi, Kenya and Cairo, Egypt and the establishment of a corresponding AI Innovation Council with local partners and nonprofits.

Through this program, Africa-based data scientists will have access to Planet satellite imagery from across the African continent to inform projects, as nominated by the AI Innovation Council, that have a specific focus on early warning systems and climate adaptation - the process of adjusting to current or expected effects of climate change.

This initiative marks Planet's third collaboration with Microsoft's AI for Good Lab this year. Previous projects include the Global Renewables Watch (GRW) and the kickstart to the partnership - a robust building damage assessment at the outset of the Russo-Ukrainian War.

"Two things that our Planet and Microsoft teams share in common is a very strong bias to action and to do the most good at the best scale," said Andrew Zolli, Chief Impact Officer of Planet. "Once we were able to see how impactful combining AI and satellite data could be, not just technically, but how impactful it can be when in the right hands, we immediately began to think about the complex problems we could go after - humanitarian aid, climate change, food and energy insecurity, etc."

Global Renewables Watch
The pair of companies, in conjunction with The Nature Conservancy, has announced on Energy Day at the 2022 United Nations Climate Change Conference (COP27), that interested users can now sign up for private previews of the Global Renewables Watch (GRW), a first-of-its-kind living atlas intended to map and measure all utility-scale solar and wind installations on Earth using artificial intelligence (AI) and satellite imagery, allowing users to evaluate clean energy transition progress and track trends over time.

The GRW team also unveiled the complete mapping of solar and wind installations of Kenya, Brazil and Egypt, joining the renewable energy sites mapped in Germany and India that were announced during GRW's launch in September 2022. Private preview signup is available at: https://www.globalrenewableswatch.org/

Ukraine Building Damage Assessment
The first collaboration that brought Microsoft and Planet together earlier this year was for the Office of the Secretary General of the United Nations, working alongside the UN Operations and Crisis Center (UNOCC) to monitor schools, hospitals and water, sanitation, hygiene and healthcare waste management infrastructure (WASH) across Ukraine to understand who and what had been affected. The UNOCC supports UN senior leadership in decision-making, situational awareness, risk and crisis management. In response to the invasion of Ukraine and in preparation for future similar situations, the goal was to develop a robust change detection system, harnessing AI and satellite-based technologies, that would bypass inherent traditional damage assessment challenges and support the scale and speed needed for ground teams to respond effectively.

The team surveyed eight Ukrainian oblasts, coupling the UNOCC's ground reports with Microsoft's AI and machine learning models on top of Planet's satellite data, in order to identify and determine if infrastructure was affected or destroyed, and approximate the date on which the damage occurred. From these mapping assessments, the team was then able to determine how many people were affected, by comparing confirmation of the damaged schools or hospitals with the size of the student body or the number of registered patients.

"Prior, for these locations where they were unable to be onsite, the UNOCC did not have documented or reliable evidence of building damage. Through this project, the UN team now has a full account not only of affected infrastructure, but also the displaced and vulnerable populations those buildings served," said Juan Lavista Ferres, Microsoft VP and Chief Data Scientist. "This is proof of the visible and actionable change that AI and satellite data can deliver to solve complex problems, whether that's in humanitarian action, sustainability or health."

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