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Título

Automatic assessment of agro-environmental indicators from remotely sensed images of tree orchards and its evaluation using olive plantations

AutorGarcía Torres, Luis ; Peña Barragán, José Manuel ; López Granados, Francisca ; Jurado-Expósito, Montserrat ; Fernández-Escobar, Ricardo
Palabras claveMultispectral
Vegetation indexes
Remote sensing
Agri-environmental indicators
Precision agriculture
Add-on software CLUAS
Tree orchards
Olive groves
Fecha de publicaciónmay-2008
EditorElsevier
CitaciónComputers and Electronics in Agriculture 61(2): 179-191 (2008)
ResumenKey agronomic and environmental characteristics of tree orchards can be automatically assessed from remote sensing images by a computer program named Clustering Assessment® (CLUAS). The aim of this paper is to describe the CLUAS software development and the information generated by CLUAS for selected olive orchards and its validation with ground-truth data. CLUAS works as an add-on of ENVI®, and operates integrating the digital values (DV) of the neighbouring pixels within a defined range of DV. In the orchards plots trees, other vegetation cover and bare soil were the land uses considered and the range of digital values (BDV) which best define each of them determined. CLUAS provides parameters of each tree, such as the geometric centre, the number of pixels or area, and the integrated digital values or relative potential yield. CLUAS also characterizes key parameters of tree groves, such as the total area and the number, area and the relative potential productivity of the whole trees; and similarly for the other land uses such as vegetation cover and bare soil. Remote images with spatial resolution from 0.25 to 1.5 m were suitable for olive grove characterization. CLUAS can contribute to the site-specific management of tree groves, providing quantitative information on each tree, small areas of an orchard, or whole orchards. Ground-truth data taken in an olive orchard of about 2 ha at the Experimental Station of Cabra (Cordoba, Spain) in 2004 and 2005 and remote images of the same zone were studied for validation purposes. The wavebands green, NIR (near-infrared), panchromatic and the vegetation indexes normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) were selected for olive grove image assessment by CLUAS. The average size of olive trees was similar regardless of the waveband or vegetation index used, varying from about 23.5-26.0 m2, and significantly interrelated between each other at 99%. Olive tree area and potential yield estimated by remote sensing were also highly related to the olive tree area estimated on the ground, with significant correlation coefficients at 99% varying from 0.62 to 0.82 and 0.52 to 0.74 in 2004 and 2005, respectively. On the other hand, olive tree size and potential yield estimated in green, panchromatic, NDVI and RVI images were significantly related to the ground-truth yield with correlation coefficients of around 0.50 in 2004, an >on> year, and of 0.30-0.40 in 2005, an >off> year, respectively. © 2007 Elsevier B.V. All rights reserved.
Versión del editorhttp://dx.doi.org/10.1016/j.compag.2007.11.004
URIhttp://hdl.handle.net/10261/121405
DOI10.1016/j.compag.2007.11.004
Identificadoresdoi: 10.1016/j.compag.2007.11.004
issn: 0168-1699
ReferenciasGarcía Torres, Luis, Peña Barragán, José Manuel, López Granados, Francisca, Jurado-Expósito, Montserrat. CLUAS: Assessment of Trees/ Trees Orchards Characteristic For Precision Agriculture. http://hdl.handle.net/10261/121400
García Torres, Luis, Peña Barragán, José Manuel, López Granados, Francisca, Jurado-Expósito, Montserrat. Procedimiento para la obtención automática de indicadores agronómicos y ambientales de plantaciones de árboles mediante teledetección. http://hdl.handle.net/10261/121403
García Torres, Luis, Peña Barragán, José Manuel, López Granados, Francisca, Jurado-Expósito, Montserrat. Procedimiento para la obtención automática de indicadores agronómicos y ambientales de plantaciones de árboles mediante teledetección. http://hdl.handle.net/10261/121404
Gómez-Candón, David, López Granados, Francisca, Caballero Novella, Juan José, Jurado-Expósito, Montserrat, García Torres, Luis. Caracterización cuantitativa del olivar mediante teledetección. http://hdl.handle.net/10261/121413
García Torres, Luis, Peña Barragán, José Manuel, Gómez-Candón, David, López Granados, Francisca, Jurado-Expósito, Montserrat. CLUAS® : A software for managing remotely sensed imagery of orchard plantations for precision agricultura. http://hdl.handle.net/10261/121424
García Torres, Luis, Peña Barragán, José Manuel, López Granados, Francisca, Jurado-Expósito, Montserrat. CLUAS Software® for managing remote images for precision agricultura. http://hdl.handle.net/10261/121433
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