Evaluation of the Use of the 12 Bands vs. NDVI from Sentinel-2 Images for Crop Identification

Today, machine learning applied to remote sensing data is used for crop detection. This makes it possible to not only monitor crops but also to detect pests, a lack of irrigation, or other problems. For systems that require high accuracy in crop identification, a large amount of data is required to...

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Detalles Bibliográficos
Autores principales: Lozano-Tello, Adolfo, Siesto, Guillermo, Fernández-Sellers, Marcos, Caballero-Mancera, Andres
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459796/
https://www.ncbi.nlm.nih.gov/pubmed/37631668
http://dx.doi.org/10.3390/s23167132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459796/
https://www.ncbi.nlm.nih.gov/pubmed/37631668
http://dx.doi.org/10.3390/s23167132

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