Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China
Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Accurate monitoring of soil salinization plays a key role in the ecological security and sustainable agricultural development of arid regions. As a branch of artificial intelligence, machine learning acquires new knowledge through self-learning and continuously improves its own performance. The purpose of this study is to combine Sentinel-2 Multisp...
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Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China
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TN_cdi_doaj_primary_oai_doaj_org_article_613876cdda3f4afda0e441203c3e637c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_613876cdda3f4afda0e441203c3e637c
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs13020305
