Modelling soil organic carbon stock distribution across different land-uses in South Africa: A remote sensing and deep learning approach-Reference-Cited by-同舟云学术

Modelling soil organic carbon stock distribution across different land-uses in South Africa: A remote sensing and deep learning approach

Published:2022-06 Issue: Volume:188 Page:351-362
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Odebiri Omosalewa^ORCID,Mutanga Onisimo,Odindi John,Naicker Rowan

Funder

National Research Foundation

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference104 articles.

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