10/10/2025
15:15 - 16:00
IUCN Arabia
Session with interpretation
Why attend
This session explores how AI and remote sensing are revolutionizing arid land restoration. Participants will discover practical tools - from hyperspectral soil mapping to tailored afforestation and LDN monitoring - gaining insights to combat land degradation, enhance climate resilience, and advance global sustainability goals.
Session Description
Arid and semi-arid regions of West Asia are among the most ecologically vulnerable yet critically important landscapes for biodiversity conservation and climate resilience. This session highlights innovative, data-driven approaches to address environmental degradation and foster sustainable restoration. Leveraging the power of Earth observation and artificial intelligence, the session presents an integrated framework for environmental monitoring, afforestation, and land rehabilitation.Discussions will showcase advanced hyperspectral satellites (e.g., EMIT, EnMAP) for detailed soil and habitat mapping, alongside machine learning and deep learning models that enhance classification accuracy and ecosystem health assessments. A practical afforestation plan tailored for arid environments will be introduced, supported by multispectral drones for continuous plant health and canopy monitoring.
Finally, the session explores how AI and satellite imagery can support Land Degradation Neutrality (LDN) monitoring, carbon sequestration tracking, and SDG reporting. Participants will gain actionable knowledge for scaling up science-based, climate-smart restoration efforts.
Organised by
West Asia Region
Partners
