Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning...
Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran)
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
The pressing issue of global warming is particularly evident in urban areas, where urban thermal islands amplify the warming effect. Understanding land surface temperature (LST) changes is crucial in mitigating and adapting to the effect of urban heat islands, and ultimately addressing the broader challenge of global warming. This study estimates L...
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Full title
Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran)
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TN_cdi_doaj_primary_oai_doaj_org_article_aa6bbcde4b2c4e24b8d66bb65195a8fc
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aa6bbcde4b2c4e24b8d66bb65195a8fc
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16030454
