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Title:
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Combined use of remote sensing and soil sensors to detect variability in orchards with previous changes in land use and landforms: consequences for management
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Author:
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Martínez Casasnovas, José Antonio; Daniele, Elisa; Uribeetxebarria Alonso de Armiño, Asier; Escolà i Agustí, Alexandre; Rosell Polo, Joan Ramon; Sartori, Luigi; Arnó Satorra, Jaume
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Notes:
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The present work investigated the application of detailed airborne images and a resistivity soil sensor (Veris 3100) to detect soil and crop spatial variability to assist in orchard management. The research was carried out in a peach orchard (Prunus persica). Soil apparent electrical conductivity (ECa), NDVI from a multispectral image (0.25 m/pixel) and soil properties at 40 sampling points (0-30 cm) were acquired. The ECa was standardized at 25°C. It showed a strong relationship with former landforms, altered by land levelling. A positive correlation of EC25 with EC1:5, water holding capacity at −1500 kPa and soil depth was found. NDVI was correlated only in the textural fractions coarser than clay. Two types of management zones were proposed: a) to improve the water holding capacity of soils and b) to regulate tree vigour and yield.
This work was funded by the Spanish Ministry of Economy and Competitiveness through the project AgVANCE (AGL2013-48297-C2-2-R). We are also grateful to Frutas Hermanos Espax SL for the possibility to carry out the research in its property. |
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Subject(s):
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-Apparent electrical conductivity
-Multispectral image
-Vegetation index
-Management zones |
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Rights:
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(c) The Animal Consortium, 2017
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Document type:
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Article
acceptedVersion |
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Published by:
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The Animal Consortium
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