Enhanced Forest Above Ground Biomass estimation using LIDAR, Machine Learning and Earth Oberservation data

该项目旨在从根本上提高利用遥感数据估算地上生物量碳储量的准确性。准确测量世界林业中的碳储量的能力对于发展自愿碳市场、制定国际气候政策以及科学界了解气候危机的影响至关重要。该项目旨在通过部署超高分辨率激光雷达数据来训练最新一代机器学习模型，以提高这些估计的准确性。

The project aims to transformationally improve the accuracy of estimates of carbon stocks in above ground biomass using remote sensing data. The ability to accurately measure carbon stocks in the world's forestry is of vital importance to the development of voluntary carbon markets, the development of international climate policy and the scientific community's understanding of the effects of the climate crisis. The project aims to improve the accuracy of these estimates by deploying ultra-high resolution LIDAR data to train the latest generation of machine learning models.