By combining high-resolution satellite imagery with state-of-the-art deep learning algorithms, we enable precise identification and tracking of individual trees across large and remote areas. This solution provides valuable insights into tree health, growth patterns, species classification, and changes over time, supporting applications in forestry management, biodiversity conservation, and carbon stock estimation. With automated processing and scalable infrastructure, our platform delivers accurate, up-to-date information to empower data-driven decision-making in sustainable land and forest resource management.
High-resolution satellite imagery with advanced deep learning algorithms track individual trees in the past 20 years in Riyadh, monitoring their growth, species, and even carbon stocks.
Intelligence platform shows more insights to the trees, and overall status over a large region.
