Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard

Rey Carames, Clara; Martín, M. Pilar; Lobo, Agustín; Luna, Inti; Diago, Maria P.; Millán Prior, Borja; Tardáguila, Javier

Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard

Trabajo presentado a la 9th European Conference on Precision Agriculture (Facing new challenges, providing new solutions), celebrada en Lleida del 7 al 11 de julio de 2013.

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Main Authors:	Rey Carames, Clara, Martín, M. Pilar, Lobo, Agustín, Luna, Inti, Diago, Maria P., Millán Prior, Borja, Tardáguila, Javier
Format:	comunicación de congreso biblioteca
Published:	Wageningen Academic Publishers 2013
Subjects:	spectral indices, multispectral images, Correlations, precision viticulture, aerial remote sensing,
Online Access:	http://hdl.handle.net/10261/95321
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id	dig-icvv-es-10261-95321
record_format	koha
spelling	dig-icvv-es-10261-953212021-03-04T13:30:53Z Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard Rey Carames, Clara Martín, M. Pilar Lobo, Agustín Luna, Inti Diago, Maria P. Millán Prior, Borja Tardáguila, Javier spectral indices multispectral images Correlations precision viticulture aerial remote sensing Trabajo presentado a la 9th European Conference on Precision Agriculture (Facing new challenges, providing new solutions), celebrada en Lleida del 7 al 11 de julio de 2013. Unmanned aerial vehicles (UAV) are a novel and flexible tool in precision viticulture, as they can be used to acquire useful information to evaluate the spatial variation of vegetative growth, yield components and grape quality. In this work, the capability of multispectral imagery acquired by a UAV and the derived spectral information to assess the spatial variability of a Tempranillo (Vitis vinifera L.) vineyard has been explored. The study was conducted in a vertical shoot positioned (VSP) Tempranillo vineyard of 3.5 ha located in Navarra, Spain. With the aim of establishing relationships between field variables and the remotely sensed information, a grid of 74 experimental blocks at 20 m intervals was built. Several variables related to the vegetative growth and yield were measured prior to harvest in each block. Multispectral imagery was acquired at 17 cm spatial resolution with a Mini-MCA 6 (Tetracam inc, USA) camera which contained information on 6 different spectral bands located in the visible and near infrared spectral regions. After geometric and radiometric corrections, the images were combined to generate a mosaic of the whole vineyard and pixel values across bands were extracted for the corresponding experimental blocks in the field. Spectral bands and indices derived from the aerial images were correlated with vine vigor and yield variables and their statistical significance was tested. Overall, the study has shown that, while spectral information and derived indices were effectively correlated to vine vigor and yield parameters, the correlation was lower than expected. We hypothesize that a specific post-processing chain will overcome the inherent systematic and random noise and distortions of the original images thus improving correlation with field data This study was carried out as part of the TELEVITIS project (Ref. ADER-2008-00187) funded by the Agencia de Desarrollo Tecnológico de La Rioja (La Rioja, Spain). Special gratefulness to Airestudio Geoinformation Technologies S. Cop for the acquisition of images with the UAV. Peer Reviewed 2014-04-10T09:14:17Z 2014-04-10T09:14:17Z 2013 2014-04-10T09:14:17Z comunicación de congreso http://purl.org/coar/resource_type/c_5794 isbn: 978-90-8686-778-3 Precision agriculture ’13: 617-624 (2013) http://hdl.handle.net/10261/95321 10.3920/978-90-8686-778-3 http://dx.doi.org/10.3920/978-90-8686-778-3 none Wageningen Academic Publishers
institution	ICVV ES
collection	DSpace
country	España
countrycode	ES
component	Bibliográfico
access	En linea
databasecode	dig-icvv-es
tag	biblioteca
region	Europa del Sur
libraryname	Biblioteca del ICVV España
topic	spectral indices multispectral images Correlations precision viticulture aerial remote sensing spectral indices multispectral images Correlations precision viticulture aerial remote sensing
spellingShingle	spectral indices multispectral images Correlations precision viticulture aerial remote sensing spectral indices multispectral images Correlations precision viticulture aerial remote sensing Rey Carames, Clara Martín, M. Pilar Lobo, Agustín Luna, Inti Diago, Maria P. Millán Prior, Borja Tardáguila, Javier Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard
description	Trabajo presentado a la 9th European Conference on Precision Agriculture (Facing new challenges, providing new solutions), celebrada en Lleida del 7 al 11 de julio de 2013.
format	comunicación de congreso
topic_facet	spectral indices multispectral images Correlations precision viticulture aerial remote sensing
author	Rey Carames, Clara Martín, M. Pilar Lobo, Agustín Luna, Inti Diago, Maria P. Millán Prior, Borja Tardáguila, Javier
author_facet	Rey Carames, Clara Martín, M. Pilar Lobo, Agustín Luna, Inti Diago, Maria P. Millán Prior, Borja Tardáguila, Javier
author_sort	Rey Carames, Clara
title	Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard
title_short	Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard
title_full	Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard
title_fullStr	Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard
title_full_unstemmed	Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard
title_sort	multispectral imagery acquired from a uav to assess the spatial variability of a tempranillo vineyard
publisher	Wageningen Academic Publishers
publishDate	2013
url	http://hdl.handle.net/10261/95321
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Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard

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