New Findings on Machine Learning Described by Investigators at Max-Planck-Institute for Biogeochemistry (On the Potential of Sentinel-2 for Estimating Gross Primary Production)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news originating from Jena, Germany, by NewsRx correspondents, research stated, “Estimating gross primary production (GPP), the gross uptake of CO2 by vegetation, is a fundamental prerequisite for understanding and quantifying the terrestrial carbon cycle. Over the last decade, multiple approaches have been developed to derive spatiotemporal dynamics of GPP combining in situ observations and remote sensing data using machine learning techniques or semiempirical models.”