nabat
Restoring coastal ecosystems with tech, data, and care 🌿
Instagram
Instagram
TikTok
TikTok
YouTube
YouTube
X
X
LinkedIn
LinkedIn
Paper: Detecting mangrove seedlings from UAV imagery using deep learning for restoration monitoring
Paper: Detecting mangrove seedlings from UAV imagery using deep learning for restoration monitoring
We’re pleased to share a newly published peer-reviewed study led by our colleague Yuri Shendryk, co-authored with Maria P. Vilas, exploring how ultra-high-resolution UAV imagery and deep learning can be used to detect mangrove seedlings for restoration monitoring.
Blog: How Science, Technology, and Field Experience Shape Ecosystem Restoration
Blog: How Science, Technology, and Field Experience Shape Ecosystem Restoration
Nature has always functioned as a connected system. Climate, land, water, and life continuously influence one another. What has changed is not this reality, but our ability to understand it – and to act on it with greater clarity and confidence.
Article: With data, the UAE's coastlines have a fighting chance
Article: With data, the UAE's coastlines have a fighting chance
Coastal ecosystems are nature’s quiet champions – and some of the most under-measured. Mangrove forests, salt marshes and seagrass meadows absorb storm surges, nurture fisheries and lock away more carbon for every hectare than most terrestrial forests. Yet these blue-carbon buffers are eroding at the very moment the climate crisis makes them more valuable than ever. Turning that tide demands precision. Every decision, such as where to intervene, which species to plant, how to phase replanting, must be informed by accurate, timely and location-specific data – because every misstep compounds over decades.
nabat.ai
nabat.ai
Nabat.ai pioneers AI-driven autonomous solutions for large-scale ecological restoration, enhancing biodiversity and sustainability.
View on mobile
