Crop Mapping Using Random Forest and Particle Swarm Optimization based on Multi-Temporal Sentinel-2
Crop Mapping Using Random Forest and Particle Swarm Optimization based on Multi-Temporal Sentinel-2
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Author / Creator
Publisher
MDPI AG
Journal title
Language
English
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Publisher
MDPI AG
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Contents
Timely and accurate information on crop mapping and monitoring is necessary for agricultural resources management. Accordingly, the applicability of the proposed classification-feature selection ensemble procedure with different feature sets for crop mapping is investigated. Here, we produced various feature sets including spectral bands, spectral...
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Full title
Crop Mapping Using Random Forest and Particle Swarm Optimization based on Multi-Temporal Sentinel-2
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_3898a45d8a15465593fb363a6be98003
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3898a45d8a15465593fb363a6be98003
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs12091449
