NEW DATA: CTrees is excited to announce the launch of REDD+AI, the first data platform to map forest degradation across tropical forests. This groundbreaking new system combines advanced satellite imagery with AI to pinpoint forest degradation across the tropics and attribute it to specific drivers: logging, fire, and road construction. REDD+AI detects change on a monthly to biannual basis in every 5-meter area of tropical forests worldwide, providing users with open access to detailed maps and statistics on global forest degradation. Data from the platform reveals that?logging, fire, and road construction degraded an average of more than 6.9 million hectares of tropical forest per year from 2017 to 2023. In the last six years, these human activities have degraded 41.6 million hectares of tropical forests, an area equivalent to the size of California. The platform draws attention to the vulnerability of tropical forests and sheds light on the previously hidden effects of logging and road construction. The data release comes as world leaders gather at #COP16 in Cali this week to discuss biodiversity protection, and will meet at #COP29 in Baku next month to address climate change. “Protecting tropical forests is essential for our response to climate change,” said?Sassan Saatchi, CTrees’ CEO and senior research scientist at NASA Jet Propulsion Laboratory/Caltech. “This is the first dataset of its kind to precisely reveal where and to what extent forest degradation, the second ‘D’ in REDD+, is occurring, enabling a more comprehensive strategy for emission reduction. Our new product gives every tropical forest government the data needed for accountability and action.” REDD+AI is based on images from the PlanetScope satellite constellation, provided by Planet Labs PBC and made available via NICFI - Norway's International Climate and Forest Initiative. The platform uses deep learning to automatically detect tree cover loss and degradation, achieving accuracy comparable to human interpretation. The process is based on peer-reviewed scientific methodologies developed by CTrees scientists Ricardo Dalagnol da Silva and Fabien H Wagner, during their postdoctoral research fellowships at UCLA’s Institute of the Environment and Sustainability. Explore the platform and learn more: https://ctrees.org/reddai
Well done! Look forward to hearing about take-up and applications. Degradation estimation has been an under-served area. Lewis Rattray, Dimitrios Michelakis, PhD
Well done
Congrats CTrees. Is there a publicly available API for this data?
Wonderful work CTrees
??????
Great work!
国际记者|50岁以上女性|企业家|ESG|环境|可持续发展|可再生能源|+85,000
1 个月Congrats! We'd love to celebrate this with you.?? Ready to share this great news with our Brazilian/Portuguese audience! Published on AMBIENTAL MERCANTIL today! Follow us on LinkedIn! Let us know what you think! CTrees lan?a REDD+AI: Plataforma inovadora mapeia degrada??o florestal em tempo real - Sistema revolucionário utiliza IA e imagens de satélite para monitorar florestas tropicais com precis?o inédita - Leia na íntegra: https://noticias.ambientalmercantil.com/2024/10/ctrees-lanca-reddai-plataforma-inovadora-mapeia-degradacao-florestal-em-tempo-real/