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Rockström, J., Kassam, A., Friedrich, T., Reicosky, D., Dumansky, J., Goddard, T. & Peiretti, R.A. 2026. Global Sustainability. 9. Article e11, pages 1-27. https://doi.org/10.1017/sus.2025.10045
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Khosa, M.K., Barik, K., Aksakal, E., Jahangir, Md MR., Didenko, N.O. & Islam, K.R. 2025. Plos One. 20 (5) Article e0322891. https://doi.org/10.1371/journal.pone.0322891
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This study used multiple satellite-derived indices and environmental drivers to infer the level of tillage intensity and identify the presence of cover crops in eastern South Dakota using environmental drivers acquired from different remote sensing datasets for 2022 and 2023 to map conservation agriculture practices. They successfully detected the presence of cover crops and the tillage intensity in the study region. Their analysis shows the percent use of cover crops in maize and soybeans and adoption of CA tillage practices. This approach benefits both public and private sector organizations by enabling them to track landscapes remotely and efficiently. This, in turn, can incentivize farmers to adopt conservation practices, contributing to climate change mitigation efforts and fostering sustainable agricultural development.