A Light-Weight Cropland Mapping Model Using Satellite Imagery.

Hussain, Maya Haj; Abuhani, Diaa Addeen; Khan, Jowaria; ElMohandes, Mohamed; Zualkernan, Imran; Ali, Tarig

Hussain, Maya Haj; Abuhani, Diaa Addeen; Khan, Jowaria; ElMohandes, Mohamed; Zualkernan, Imran; Ali, Tarig.

Afiliación

Hussain MH; Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates.
Abuhani DA; Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates.
Khan J; Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates.
ElMohandes M; Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates.
Zualkernan I; Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates.
Ali T; Department of Civil Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates.

Sensors (Basel) ; 23(15)2023 Jul 27.

Article en En | MEDLINE | ID: mdl-37571513

Palabras clave

Normalized Difference Vegetation Index; cropland extent; cropland intensity; machine learning; time series

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Emiratos Árabes Unidos

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