Mapping soil profile depth, bulk density and carbon stock in Scotland using remote sensing and spatial covariates
Author:
Affiliation:
1. Department of Information and Computational Science, The James Hutton Institute; Aberdeen UK
Funder
Rural and Environment Science and Analytical Services Division
Publisher
Wiley
Subject
Soil Science
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/ejss.12916/fullpdf
Reference52 articles.
1. Mapping peat in Scotland with remote sensing and site characteristics;Aitkenhead;European Journal of Soil Science,2017
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3. Digital mapping of soil ecosystem services in Scotland using neural networks and relationship modelling-part 1: Mapping of soil classes;Aitkenhead;Soil Use and Management,2019
4. Substrate utilisation profiles of microbial communities in peat are depth dependent and correlate with whole soil FTIR profiles;Artz;Soil Biology & Biochemistry,2006
5. A plant ecology approach to digital soil mapping, improving the prediction of soil organic carbon content in alpine grasslands;Ballabio;Geoderma,2012
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