Today's Bulletin: December 4, 2024

More results...

Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Africacom
AfricaCom 2024
AI
Apps
Apps
Banking
Broadcast
CABSAT
Cabsat
Cloud
Column
Content
Corona
DTT
eCommerce
Editorial
Education
Entertainment
Events
Fintech
Fixed
Gitex
Gitex Africa
Healthcare
IBC
Industry Voices
Infrastructure
IoT
MNVO Nation Africa
Mobile
Mobile Payments
Music
MWC Barcelona
MWC Kigali
News
Opinion Piece
Q&A
Satellite
Security
Software
Startups
Streaming
Technology
TechTalks
TechTalkThursday
Telecoms
Utilities
Video Interview
Follow us

Microsoft Announces a Partnership with Planet Labs PBC

November 18, 2022
4 min read
Author: Aayushya Ranjan

Planet Labs PBC, 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. 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.

Andrew Zolli, Chief Impact Officer, Planet

The pair of companies, in conjunction with The Nature Conservancy, today 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.

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. 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.

Juan Lavista Ferres, VP and Chief Data Scientist, Microsoft
Follow us on LinkedIn

Newsletter signup

Sign up for our weekly newsletter and get the latest industry insights right in your inbox!

Please wait...

Thank you for sign up!