DIGITAL SOIL MAPPING WITH REGRESSION TREE CLASSIFICATION APPROACHES BY RS AND GEOMORPHOMETRY COVARIA...
DIGITAL SOIL MAPPING WITH REGRESSION TREE CLASSIFICATION APPROACHES BY RS AND GEOMORPHOMETRY COVARIATE IN THE QAZVIN PLAIN, IRAN
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Author / Creator
Publisher
Gottingen: Copernicus GmbH
Journal title
Language
English
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Publisher
Gottingen: Copernicus GmbH
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Scope and Contents
Contents
Digital soil mapping applies soil attributes, Remote sensing and Geomorphometrics indices to estimate soil types and properties at unobserved locations. This study carried out in order to comparison two data mining algorithms such as Random Forest (RF) and Boosting Regression tree (BRT) and two features selection principal component analysis (PCA)...
Alternative Titles
Full title
DIGITAL SOIL MAPPING WITH REGRESSION TREE CLASSIFICATION APPROACHES BY RS AND GEOMORPHOMETRY COVARIATE IN THE QAZVIN PLAIN, IRAN
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_5304cbeab94a4052bb179fa5e53b647e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5304cbeab94a4052bb179fa5e53b647e
Other Identifiers
ISSN
2194-9034,1682-1750
E-ISSN
2194-9034
DOI
10.5194/isprs-archives-XLII-4-W18-773-2019
