Deadtrees.earth: Crowdsourced drone data for global tree mortality maps скачать в хорошем качестве

Deadtrees.earth: Crowdsourced drone data for global tree mortality maps

Elevated forest disturbances and excess tree mortality are increasingly reported worldwide. Yet existing assessments are either based on patchy terrestrial observations or on large-scale satellite products, which are limited in resolution to pixel-level, binary tree loss detection. This leaves a blind spot on fine-scale disturbances where only a few trees are declining in an otherwise intact canopy. This talk provides an overview of the deadtrees.earth initiative and how the initiative leveraged crowdsourced drone data to build globally generalizing models for mapping tree mortality and disturbances from drones, airplanes, and Sentinel-2. Specifically, the talk goes into details of the upscaling approach where centimeter-scale drone data is leveraged to calibrate a model that processes multi-year Sentinel-2 time series around the globe. Speakers: Clemens Mosig Researcher, Leipzig University Moderators: Gustau Camps-Valls Professor in Electrical Engineering, Universitat de València AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges. AI for Good is organized by ITU in partnership with over 50 UN partners and co-convened with the Government of Switzerland. Join the Neural Network! 👉https://aiforgood.itu.int/neural-netw... The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to solve global challenges using AI. 🔴 Watch the latest #AIforGood videos!    / aiforgood   📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good... 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ X:   / aiforgood   LinkedIn Page:   / 26511907   LinkedIn Group:   / 8567748   Instagram:   / aiforgood   Facebook:   / aiforgood   Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.