Global renewables watch: A living atlas to map earth\u2019s solar and wind energy installations <\/h3>\n\n\n\n![\"AI](\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/12\/AI-for-Good_sustainability-solarpanels_1400x788-1024x576.jpg\")
<\/figure>\n\n\n\nOne way Microsoft\u2019s AI for Good Lab is helping address this challenge is through a newly-announced partnership with\u00a0Planet Labs PBC (opens in new tab)<\/span><\/a> and The Nature Conservancy (opens in new tab)<\/span><\/a>. The project, called the Global Renewables Watch (opens in new tab)<\/span><\/a>, is intended to map the entirety of the world\u2019s utility-scale solar and wind installations, and to measure the capacity of these installations using AI and high-resolution satellite imagery. It will allow users to evaluate the progress of every country\u2019s transition to clean energy and track trends over time. It will also provide unique spatial data regarding land use trends to help promote “nature positive\u201d development. This work will help researchers and policymakers make data-driven decisions in renewable energy development.<\/p>\n\n\n\n\n\t\n\t\t- \n\t\t\t\t\t\tProject<\/span>\n\t\t\t\n\t\t\t\tGeospatial Machine Learning <\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<\/li>\n\t<\/ul>\n<\/div>\n<\/div>\n\n\n\n\n
Supporting climate resilience in the Global South <\/h3>\n\n\n\n
No nation is immune to the ongoing perils of climate change; however, the Global South has been disproportionately impacted by extreme climate events, including droughts, floods, storms and heatwaves. Between 2008-2018, over 2.2 billion people in the Global South were under high climate risk.1<\/sup> Access to reliable climate data is crucial in order for governments and decision-makers to navigate and mitigate the worst effects.<\/p>\n\n\n\nThe Lab is supporting climate resilience in the Global South by opening two new locations\u202fin Egypt and Kenya (opens in new tab)<\/span><\/a>. The work of these data labs will be informed by a new Africa AI Innovation Council established by Microsoft and composed of representatives from leading African organizations. We\u2019ve also just launched an expanded collaboration with\u202fPlanet Labs PBC\u2014our third expansion this year\u2014to combine their high-quality satellite imagery of Africa with our AI technology to accelerate climate adaptation solutions.\u202fThe work is intended to provide Africa-based data scientists with access to and analysis of satellite imagery from across the African continent. This can better help them address the effects of climate change and develop early warning systems.\u202f <\/p>\n<\/div>\n\n\n\n\nSupporting biodiversity and wildlife preservation <\/h3>\n\n\n\n![\"Beluga](\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2021\/10\/Beluga_GettyImages-547332670-scaled-1-1024x576.jpg\")
Beluga whales only live in the Arctic Ocean and its adjoining seas, such as the Bering Sea.
(Photo by David Merron Photography\/Getty Images)<\/figcaption><\/figure>\n\n\n\n\n\t\n\t\t- \n\t\t\t\t\t\tProject<\/span>\n\t\t\t\n\t\t\t\tAccelerating Biodiversity Surveys with AI <\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<\/li>\n\t<\/ul>\n<\/div>\n\n\n\n
A quarter of the planet\u2019s wild animal species are threatened with extinction; they must be preserved before it\u2019s too late. The Living Planet Index (opens in new tab)<\/span><\/a> (LPI)\u2014which tracks populations of mammals, birds, fish, reptiles, and amphibians\u2014reveals an average 69% decrease in monitored wildlife populations since 1970, and a decline of 83% for monitored freshwater populations. Wetlands have been reduced by 1\/3 and coral reef habitats have declined by 50 percent.2,3<\/sup> The AI for Good Lab has worked on many projects that promote biodiversity by harnessing AI to analyze large amounts of data collected by conservationists. Remote sensing has become the most powerful tool for conservationists to estimate wildlife populations and understand how animals use their habitats. It is dependent, however, on tremendous amounts of manual data annotation. It can take years for a small NGO to annotate millions of images or audio recordings for a single project.<\/p>\n\n\n\n\n\n![\"AI](\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/12\/AI-for-Good_Biodiversity-mountain-goats_1400x788-1024x576.jpg\")
<\/figure>\n<\/div>\n\n\n\n\nOur Lab applies machine learning tools to a variety of image sources\u2014including motion-triggered camera traps, aerial cameras, and microphones\u2014to accelerate the work of ecologists. For instance, in 2019 the AI for Good Lab partnered with the nonprofit conservation group Wildlife Protection Solutions, which had gathered a vast and overwhelming amount of image data using remote cameras to monitor the status of different animal species. The Lab helped them implement AI and machine learning tools to analyze and simplify the data.<\/p>\n<\/div>\n<\/div>\n\n\n\n
\n\n![\"AI](\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/12\/AI-for-Good_Bioacoustical-beluga-whistles_1400x788-1024x576.jpg\")
Beluga whale whistles<\/figcaption><\/figure>\n<\/div>\n\n\n\n\n![\"AI](\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/12\/AI-for-Good_Bioacoustical-beluga-harmonics_1400x788-1024x576.jpg\")
Beluga whale harmonics<\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n\n\t\n\t\t- \n\t\t\t\t\t\tProject<\/span>\n\t\t\t\n\t\t\t\tBioacoustics <\/span>\n\t\t\t<\/a>\n\t\t\t\t\t<\/li>\n\t<\/ul>\n<\/div>\n\n\n\n
We also work on this problem by taking large\u202fvolumes of bioacoustics recordings and applying\u202fdeep learning models\u202fto them. This can give bio-scientists profound insights into environmental features, such as the presence or absence of species in the ocean or rainforest. By automatically processing and analyzing bioacoustics data, we can cut detection and annotation time by as much as 93%.<\/p>\n\n\n\n
There is an urgent need for acquiring information to help protect our wildlife and preserve our wetlands which have a major impact on carbon sequestration and biodiversity. Some of our current geospatial work includes detecting beluga whales from satellite imagery, wetland mapping and carbon measurement.<\/p>\n\n\n\n
\n\n\n\nFootnotes<\/p>\n\n\n\n
1<\/sup> Internal Displacement Monitoring Centre (IDMC.org) (opens in new tab)<\/span><\/a><\/p>\n\n\n\n2<\/sup> WWF: Living Planet Report 2022 (panda.org) (opens in new tab)<\/span><\/a><\/ins><\/p>\n\n\n\n
<\/figure>\n\n\n\nOne way Microsoft\u2019s AI for Good Lab is helping address this challenge is through a newly-announced partnership with\u00a0Planet Labs PBC (opens in new tab)<\/span><\/a> and The Nature Conservancy (opens in new tab)<\/span><\/a>. The project, called the Global Renewables Watch (opens in new tab)<\/span><\/a>, is intended to map the entirety of the world\u2019s utility-scale solar and wind installations, and to measure the capacity of these installations using AI and high-resolution satellite imagery. It will allow users to evaluate the progress of every country\u2019s transition to clean energy and track trends over time. It will also provide unique spatial data regarding land use trends to help promote “nature positive\u201d development. This work will help researchers and policymakers make data-driven decisions in renewable energy development.<\/p>\n\n\n\n No nation is immune to the ongoing perils of climate change; however, the Global South has been disproportionately impacted by extreme climate events, including droughts, floods, storms and heatwaves. Between 2008-2018, over 2.2 billion people in the Global South were under high climate risk.1<\/sup> Access to reliable climate data is crucial in order for governments and decision-makers to navigate and mitigate the worst effects.<\/p>\n\n\n\n The Lab is supporting climate resilience in the Global South by opening two new locations\u202fin Egypt and Kenya (opens in new tab)<\/span><\/a>. The work of these data labs will be informed by a new Africa AI Innovation Council established by Microsoft and composed of representatives from leading African organizations. We\u2019ve also just launched an expanded collaboration with\u202fPlanet Labs PBC\u2014our third expansion this year\u2014to combine their high-quality satellite imagery of Africa with our AI technology to accelerate climate adaptation solutions.\u202fThe work is intended to provide Africa-based data scientists with access to and analysis of satellite imagery from across the African continent. This can better help them address the effects of climate change and develop early warning systems.\u202f <\/p>\n<\/div>\n\n\n\n A quarter of the planet\u2019s wild animal species are threatened with extinction; they must be preserved before it\u2019s too late. The Living Planet Index (opens in new tab)<\/span><\/a> (LPI)\u2014which tracks populations of mammals, birds, fish, reptiles, and amphibians\u2014reveals an average 69% decrease in monitored wildlife populations since 1970, and a decline of 83% for monitored freshwater populations. Wetlands have been reduced by 1\/3 and coral reef habitats have declined by 50 percent.2,3<\/sup> The AI for Good Lab has worked on many projects that promote biodiversity by harnessing AI to analyze large amounts of data collected by conservationists. Remote sensing has become the most powerful tool for conservationists to estimate wildlife populations and understand how animals use their habitats. It is dependent, however, on tremendous amounts of manual data annotation. It can take years for a small NGO to annotate millions of images or audio recordings for a single project.<\/p>\n\n\n\n Our Lab applies machine learning tools to a variety of image sources\u2014including motion-triggered camera traps, aerial cameras, and microphones\u2014to accelerate the work of ecologists. For instance, in 2019 the AI for Good Lab partnered with the nonprofit conservation group Wildlife Protection Solutions, which had gathered a vast and overwhelming amount of image data using remote cameras to monitor the status of different animal species. The Lab helped them implement AI and machine learning tools to analyze and simplify the data.<\/p>\n<\/div>\n<\/div>\n\n\n\n We also work on this problem by taking large\u202fvolumes of bioacoustics recordings and applying\u202fdeep learning models\u202fto them. This can give bio-scientists profound insights into environmental features, such as the presence or absence of species in the ocean or rainforest. By automatically processing and analyzing bioacoustics data, we can cut detection and annotation time by as much as 93%.<\/p>\n\n\n\n There is an urgent need for acquiring information to help protect our wildlife and preserve our wetlands which have a major impact on carbon sequestration and biodiversity. Some of our current geospatial work includes detecting beluga whales from satellite imagery, wetland mapping and carbon measurement.<\/p>\n\n\n\n Footnotes<\/p>\n\n\n\n 1<\/sup> Internal Displacement Monitoring Centre (IDMC.org) (opens in new tab)<\/span><\/a><\/p>\n\n\n\n 2<\/sup> WWF: Living Planet Report 2022 (panda.org) (opens in new tab)<\/span><\/a><\/ins><\/p>\n\n\n\n\n\t\t
Supporting climate resilience in the Global South <\/h3>\n\n\n\n
Supporting biodiversity and wildlife preservation <\/h3>\n\n\n\n
(Photo by David Merron Photography\/Getty Images)<\/figcaption><\/figure>\n\n\n\n\n\t\t
<\/figure>\n<\/div>\n\n\n\n\n\t\t
\n\n\n\n