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

Title
Modelling soil organic carbon stock distribution across different land-uses in South Africa: A remote sensing and deep learning approach
Authors
Keywords
Soil organic carbon, Land use, Land-use planning, Remote sensing, Deep learning, Sentinel-3
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 188, Issue -, Pages 351-362
Publisher
Elsevier BV
Online
2022-05-05
DOI
10.1016/j.isprsjprs.2022.04.026

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now