Counting trees from space with artificial intelligence
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Oct-2026 12:16 ET (21-Oct-2026 16:16 GMT/UTC)
Trees shape climate, biodiversity, rural livelihoods, and the global bioeconomy, yet many remain invisible to today's large-scale monitoring systems.
A novel machine‑learning algorithm retrieves remote‑sensing reflectance (Rrs) from Himawari‑8 geostationary data at 10‑minute intervals – an unprecedented frequency for this meteorological satellite.
Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per area (LMA)—are essential for monitoring crop health and ecosystem productivity.