Seasonal mapping of irrigated winter wheat traits in Argentina with a hybrid retrieval workflow using sentinel-2 imagery

Earth observation offers an unprecedented opportunity to monitor intensively cultivated areas providing key support to assess fertilizer needs and crop water uptake. Routinely, vegetation traits mapping can help farmers to monitor plant development along the crop’s phenological cycle, which is parti...

Full description

Bibliographic Details

Main Authors:	Caballero, Gabriel, Pezzola, Nestor Alejandro, Winschel, Cristina Ines, Casella, Alejandra An, Sanchez Angonova, Paolo Andres, Rivera Caicedo, Juan Pablo, Berger, Katja, Verrelst, Jochem, Delegido, Jesús
Format:	Artículo
Language:	Inglés
Published:	MDPI 2022
Subjects:	Leaf Area Index Kriging Imagery Índice de Superficie Foliar Krigeage Imágenes Vegetation Water and Chlorophyll Content Hybrid Retrieval Workflow Dimencionality Reduction Active Learning Contenido de Agua y Clorofila de la Vegetación Flujo de Trabajo de Recuperación Híbrido Reducción de Dimensionalidad Aprendizaje Activo
Online Access:	http://hdl.handle.net/20.500.12123/13248 https://www.mdpi.com/2072-4292/14/18/4531 https://doi.org/10.3390/rs14184531