Deep learning approaches in remote sensing of soil organic carbon: a review of utility, challenges, and prospects
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-021-09561-6.pdf
Reference122 articles.
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3. Arogoundade, A. M., Odindi, J., & Mutanga, O. (2019). Modelling parthenium hysterophorus invasion in KwaZulu-Natal province using remotely sensed data and environmental variables. Geocarto International, 1–16.
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