Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data in an Agricultural...
Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data in an Agricultural Watershed
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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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Scope and Contents
Contents
Classification of remotely sensed imagery for reliable land use and land cover (LULC) remains a challenge in areas where spectrally similar LULC features occur. For example, bare soils of harvested crop fields in agricultural watersheds exhibit spectral characteristics similar to high-intensity developed regions and impede an accurate classificatio...
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Full title
Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data in an Agricultural Watershed
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TN_cdi_doaj_primary_oai_doaj_org_article_3dc2f21d84cc4eff9f505c8695f510d8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3dc2f21d84cc4eff9f505c8695f510d8
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15164020
