Machine learning algorithms improve MODIS GPP estimates in United States croplands

Introduction: Machine learning methods combined with satellite imagery have the potential to improve estimates of carbon uptake of terrestrial ecosystems, including croplands. Studying carbon uptake patterns across the U.S. using research networks, like the Long-Term Agroecosystem Research (LTAR) ne...

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Bibliographic Details
Main Authors: Dorothy Menefee, Trey O. Lee, K. Colton Flynn, Jiquan Chen, Michael Abraha, John Baker, Andy Suyker
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Remote Sensing
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2023.1240895/full