Soil carbon prediction under different land uses by integration of remote sensing and machine learning algorithms in a semi-arid watershed, Iran
Crossref DOI link: https://doi.org/10.1007/s12517-023-11188-5
Published Online: 2023-01-11
Published Print: 2023-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Tahmoures, Mohammad
Mesri, Samira
Afrasiabi, Banafsheh
Honarbakhsh, Afshin
Ingram, Ben
Text and Data Mining valid from 2023-01-01
Version of Record valid from 2023-01-01
Article History
Received: 27 February 2022
Accepted: 5 January 2023
First Online: 11 January 2023
Declarations
:
: The authors declare no competing interests.