Estimation of Soil Salinization by Machine Learning Algorithms in Different Arid Regions of Northwes...
Estimation of Soil Salinization by Machine Learning Algorithms in Different Arid Regions of Northwest China
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Hyperspectral data has attracted considerable attention in recent years due to its high accuracy in monitoring soil salinization. At present, most existing research focuses on the saline soil in a single area without comparative analysis between regions. The regional differences in the hyperspectral characteristics of saline soil are still unclear....
Alternative Titles
Full title
Estimation of Soil Salinization by Machine Learning Algorithms in Different Arid Regions of Northwest China
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2dd2cbf4b20e4ed989fde0b259154736
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2dd2cbf4b20e4ed989fde0b259154736
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14020347
