Digital soil mapping of peatland using airborne radiometric data and supervised machine learning – Implication for the assessment of carbon stock

Title
Digital soil mapping of peatland using airborne radiometric data and supervised machine learning – Implication for the assessment of carbon stock
Authors
Keywords
-
Journal
GEODERMA
Volume 428, Issue -, Pages 116086
Publisher
Elsevier BV
Online
2022-09-21
DOI
10.1016/j.geoderma.2022.116086

Ask authors/readers for more resources

Find Funding. Review Successful Grants.

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

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search