Innovative Study Revolutionizes Carbon Stock Measurement Using Satellite Imagery

A new study introduces a method for estimating above-ground carbon at an individual tree level using VHR satellite imagery and machine learning algorithms. Lobelia Earth S.L. has revolutionized carbon cycle research with a novel method to accurately measure carbon in scattered tree populations, promising improved land management and climate adaptation strategies.

The core innovation lies in the development of an ANN model trained on individual tree crowns, leading to more precise AGC estimates. By integrating field data with advanced Earth observation techniques, the study provides a reliable method for estimating biomass at multiple scales, potentially enhancing global understanding of carbon sequestration dynamics and land management practices.