English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/61522
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)

AuthorsBaluja, Javier ; Diago, Maria P. ; Balda, Pedro ; Zorer, Roberto; Meggio, Franco; Morales Iribas, Fermín ; Tardáguila, Javier
Issue DateNov-2012
PublisherSpringer
CitationBaluja J, Diago MP, Balda P, Zorer R, Meggio F, Morales F, Tardaguilla J. Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV). Irrigation Science 30 (6): 511-522 (2012)
AbstractThe goal of this study was to assess the water status variability of a commercial rain-fed Tempranillo vineyard (Vitis vinifera L.) by thermal and multispectral imagery using an unmanned aerial vehicle (UAV). The relationships between aerial temperatures or indices derived from the imagery and leaf stomatal conductance (g s) and stem water potential (Ψstem) were determined. Aerial temperature was significantly correlated with g s (R 2 = 0.68, p < 0.01) and Ψstem (R 2 = 0.50, p < 0.05). Furthermore, the thermal indices derived from aerial imagery were also strongly correlated with Ψstem and g s. Moreover, different spectral indices were related to vineyard water status, although NDVI (normalized difference vegetation index) and TCARI/OSAVI (ratio between transformed chlorophyll absorption in reflectance and optimized soil-adjusted vegetation index) showed the highest coefficient of determination with Ψstem (R 2 = 0.68, p < 0.05) and g s (R 2 = 0.84, p < 0.05), respectively. While the relationship with thermal imagery and water status parameters could be considered as a short-term response, NDVI and TCARI/OSAVI indices were probably reflecting the result of cumulative water deficits, hence a long-term response. In conclusion, thermal and multispectral imagery using an UAV allowed assessing and mapping spatial variability of water status within the vineyard.
Description12 Pags., 3 Tabls., 5 Figs.
Publisher version (URL)http://dx.doi.org/10.1007/s00271-012-0382-9
URIhttp://hdl.handle.net/10261/61522
DOI10.1007/s00271-012-0382-9
ISSN0342-7188
E-ISSN1432-1319
Appears in Collections:(EEAD) Artículos
(ICVV) Artículos
Files in This Item:
File Description SizeFormat 
mod vers.aut pend.pdf20,83 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


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