Mar 5, 2023
NASA captures sequestered carbon of 9.9 billion trees with deep-learning and satellite images
Posted by Dan Breeden in categories: information science, robotics/AI, satellites
A NASA-led research team used satellite imagery and artificial intelligence methods to map billions of discrete tree crowns down to a 50-cm scale. The images encompassed a large swath of arid northern Africa, from the Atlantic to the Red Sea. Allometric equations based on previous tree sampling allowed the researchers to convert imagery into estimates of tree wood, foliage, root size, and carbon sequestration.
The new NASA estimation, published in the journal Nature, was surprisingly low. While the typical estimation of a region’s carbon stock might rely on counting small areas and extrapolating results upwards, the NASA demonstrated technique only counts the trees that are actually there, down to the individual tree. Jules Bayala and Meine van Noordwijk published a News & Views article in the same journal commenting on the NASA team’s work.