Susceptibility Mapping of Soil Water Erosion Using Machine Learning Models
Susceptibility Mapping of Soil Water Erosion Using Machine Learning Models
About this item
Full title
Susceptibility Mapping of Soil Water Erosion Using Machine Learning Models
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Water (Basel), 2020-07, Vol.12 (7), p.1995
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Soil erosion is a serious threat to sustainable agriculture, food production, and environmental security. The advancement of accurate models for soil erosion susceptibility and hazard assessment is of utmost importance for enhancing mitigation policies and laws. This paper proposes novel machine learning (ML) models for the susceptibility mapping o...
Alternative Titles
Full title
Susceptibility Mapping of Soil Water Erosion Using Machine Learning Models
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2424717139
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2424717139
Other Identifiers
ISSN
2073-4441
E-ISSN
2073-4441
DOI
10.3390/w12071995
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