A GENERIC MACHINE LEARNING-BASED FRAMEWORK FOR PREDICTIVE MODELING OF LAND SURFACE TEMPERATURE
A GENERIC MACHINE LEARNING-BASED FRAMEWORK FOR PREDICTIVE MODELING OF LAND SURFACE TEMPERATURE
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Publisher
Gottingen: Copernicus GmbH
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Language
English
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Gottingen: Copernicus GmbH
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Contents
In the realm of data analytics, machine learning (ML) is one of the most successful techniques for making predictions. The ability of ML algorithms has also been studied in various aspects of land surface temperature (LST) besides its retrieval. The few investigations on LST retrieval using ML algorithms suggested that it may potentially obtain the...
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Full title
A GENERIC MACHINE LEARNING-BASED FRAMEWORK FOR PREDICTIVE MODELING OF LAND SURFACE TEMPERATURE
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TN_cdi_doaj_primary_oai_doaj_org_article_0862c08b98a341fab088aa408d93cc66
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0862c08b98a341fab088aa408d93cc66
Other Identifiers
ISSN
2194-9034,1682-1750
E-ISSN
2194-9034
DOI
10.5194/isprs-archives-XLVIII-4-W2-2022-95-2023
