English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/155854
Share/Impact:
Statistics
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

Detection of fruit tree water status in orchards from thermal remote sensing images

AuthorsBellvert, Joaquim; Mata, M.; Girona, Joan
KeywordsCrop water stress index
Leaf water potential
Irrigation
Peach
High resolution thermal imagery
Issue DateJul-2014
Citation12th International Conference on Precision Agriculture (2014)
AbstractRemotely sensed crop water stress index (CWSI) can be used to depict fruit tree water status. The aim of this study was: i) to develop an empirical approach for assessing the CWSI of peach trees throughout a growing season and validate it with ground-based leaf water potential (Ψ leaf) measurements, and ii) to detect the spatial variability of fruit tree water status in a 2-ha peach orchard and throughout a complete growing season based on remotely estimates of leaf water potential (Ψrem) from airborne thermal imagery. Ψ rem was estimated from the seasonal relationships with CWSI. This study was carried out during 2012 and 2013 growing seasons. CWSI and Ψ leaf were significantly correlated both years indicating a similar tendency between years, but differences between phenological stages. Differences in the spatial variability of peach tree water status were successfully remotely detected, demonstrating that remote estimates of leaf water potential can be used for precise irrigation purposes.
DescriptionTrabajo presentado en la 12th International Conference on Precision Agriculture (ICPA), celebrada en Sacaramento (US) del 20 al 23 de julio de 2014.
URIhttp://hdl.handle.net/10261/155854
Appears in Collections:(IAS) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
fruit_tree_Bellvert.pdf852,71 kBAdobe PDFThumbnail
View/Open
Show full item record
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.