Detecting Winter Cover Crops and Crop Residues in the Midwest US Using Machine Learning Classification of Thermal and Optical Imagery

Detecting Winter Cover Crops and Crop Residues in the Midwest US Using Machine Learning Classification of Thermal and Optical Imagery

Cover crops are an increasingly popular practice to improve agroecosystem resilience to climate change, pests, and other stressors. Despite their importance for climate mitigation and soil health, there remains an urgent need for methods that link winter cover crops with regional-scale climate mitig...

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Bibliographic Details
Main Authors: Mallory Liebl Barnes, Landon Yoder, Mahsa Khodaee
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
climate change
mitigation and adaptation
conservation agriculture
thermal remote sensing
Online Access:https://www.mdpi.com/2072-4292/13/10/1998

Internet

https://www.mdpi.com/2072-4292/13/10/1998

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