Earth Observation (EO) has become a crucial tool in monitoring deforestation, ecosystem degradation, and biodiversity conservation. This session will explore how EO technologies, AI-driven analytics, and global EO programs can improve real-time forest health monitoring, species tracking, and sustainable land management. It will focus on challenges such as illegal logging, habitat loss, climate-driven deforestation, and carbon sequestration monitoring.

This study explores the use of high-resolution satellite imagery from the Airbus Pleiades Neo constellation to classify eucalyptus species in the Wheatbelt region of Western Australia. The classification aims to support biomass estimation, which is vital for managing the carbon cycle and carbon abatement projects. The research focuses on five eucalyptus species and employs both supervised (K-Means) and unsupervised (Iso-Clustering) classification methods.