Digital mapping of soil ecosystem services in Scotland using neural networks and relationship modelling—Part 1: Mapping of soil classes-Reference-Cited by-同舟云学术

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Digital mapping of soil ecosystem services in Scotland using neural networks and relationship modelling—Part 1: Mapping of soil classes

Published:2019-05-14 Issue:2 Volume:35 Page:205-216
ISSN:0266-0032
Container-title:Soil Use and Management
language:en
Short-container-title:Soil Use Manage

Author:

Aitkenhead Matt J.¹^ORCID,Coull Malcolm C.¹

Affiliation:

1. The James Hutton Institute Aberdeen UK

Funder

Rural and Environment Science and Analytical Services Division

Publisher

Wiley

Subject

Pollution,Soil Science,Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sum.12492

Reference48 articles.

1. Mapping peat in Scotland with remote sensing and site characteristics

2. A plant ecology approach to digital soil mapping, improving the prediction of soil organic carbon content in alpine grasslands

3. Digital soil mapping in Germany—a review

4. Using Canonical Correspondence Analysis (CCA) to identify the most important DEM attributes for digital soil mapping applications

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1. Spatial disaggregation of a legacy soil map to support digital soil and land evaluation assessments in Scotland;Geoderma Regional;2024-09

2. Delineation of high‐resolution soil carbon management zones using digital soil mapping: A step towards mitigating climate change in the Northeastern Himalayas, India;Soil Use and Management;2023-12-07

3. Advancements in Digital Soil Mapping: From Data Acquisition to Uncertainty Estimation - A Comprehensive Review;Communications in Computer and Information Science;2023

4. Digital mapping for soil texture class prediction in northwestern Türkiye by different machine learning algorithms;Geoderma Regional;2022-12

5. Artificial neural network modeling in environmental radioactivity studies – A review;Science of The Total Environment;2022-11

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