Using AI and machine learning, SilviaTerramaps and monitors forests, yielding data about trees across the continental United States. The high-resolution, tree-level map of the United States is the first of its kind. It gives conservationists and landowners critical details to sustainably manage forests at a fraction of the time and cost of traditional surveys.
Growing more with less
Farmers face an uphill battle as arable land and water supplies dwindle, while the global population grows. FarmBeats, a program that uses Microsoft'scloud and AItechnologies to help farmers sustainably improve yields and lower costs, evaluates sensor data and aerial imagery against weather forecasts and crop predictions to enable data-driven agricultural practices.
Identifying snow leopards by their spots
Snow leopardsare rare,with an estimatedpopulation of just 4,000 to 6,000 in the wild, and remote camera trap photography is one of the only reliable ways to study their behaviors. Historically, researchers have sifted through thousands of photosmanuallyto findsnow leopard imagesand use that data to protect the species from poaching, mining, climate change and other threats. Now researchers at the Snow Leopard Trust are using a Microsoft AI automation tool to automatically classify images in minutes rather than hours, combiningyears of data into a comprehensive database. This allowsthem to focus on advancing conservation science instead of manually poring through images.
Protecting key watersheds
Scientists are using Microsoft's AI and cloud technologies to create highly detailed mapsto help conserve the world's water resources. Chesapeake Conservancy, supported by an AI for Earth grant, is working to integrate AI technology to produce high-resolution land cover and land use maps for precision conservations to improve water quality throughout the Chesapeake Bay watershed. With this data, the Conservancy is supporting progress in the restorationof the bay.
Microsoft Corporation published this content on 21 May 2019 and is solely responsible for the information contained herein. Distributed by Public, unedited and unaltered, on 21 May 2019 18:17:06 UTC