Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning...
Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques
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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
Accurate land use land cover (LULC) classification is vital for the sustainable management of natural resources and to learn how the landscape is changing due to climate. For accurate and efficient LULC classification, high-quality datasets and robust classification methods are required. With the increasing availability of satellite data, geospatia...
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Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques
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TN_cdi_doaj_primary_oai_doaj_org_article_df4c058a769e4fdc877fb54febf3ac03
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_df4c058a769e4fdc877fb54febf3ac03
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14194978
