Recent Rapid Increase of Cover Crop Adoption Across the U.S. Midwest Detected by Fusing Multi-Source Satellite Data

Qu Zhou, Kaiyu Guan, Sheng Wang, Chongya Jiang, Yizhi Huang, Bin Peng, Zhangliang Chen, Sibo Wang, James Hipple, Dan Schaefer, Ziqi Qin, Samuel Stroebel, Jonathan Coppess, Madhu Khanna, Yaping Cai

Research output: Contribution to journalArticlepeer-review

Abstract

Cover crops have critical significance for agroecosystem sustainability and have long been promoted in the U.S. Midwest. Knowledge of cover cropping variations and impacts of government policies remains very limited. We developed an accurate and cost-effective approach utilizing satellite fusion data, environmental variables, and machine learning to quantify cover cropping in corn and soybean fields from 2000 to 2021 in the U.S. Midwest. We found that cover crop adoption in most counties was stagnant from 2000 to 2011, but has significantly increased from 2011 to 2021. The adoption of 2021 is four times that of 2011, which was highly correlated to the funding for conservation programs. However, the percentage of cover crop adoption in the U.S. Midwest is still low (7.2%). Our work fills a critical gap in quantifying long-term field-level cover crop adoption at large regions and highlights the potential importance of incentive programs to promote sustainable agricultural practices.

Original languageEnglish (US)
Article numbere2022GL100249
JournalGeophysical Research Letters
Volume49
Issue number22
DOIs
StatePublished - Nov 28 2022

ASJC Scopus subject areas

  • Geophysics
  • General Earth and Planetary Sciences

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