NASA Supercomputing Study Breaks Ground for Tree Mapping, Carbon Research

The video discusses a groundbreaking method for mapping trees outside forests, revealing a surprising number of trees in semi-arid regions. This was achieved using supercomputers and machine learning to map over 1.8 billion trees. The study aims to map nonforest trees and calculate their carbon storage, providing crucial data for understanding the carbon cycle.

What is the goal of the series of studies mentioned in the text?

Why is calculating the carbon storage of nonforest trees important?