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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2017-07-16
Author
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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Martínez Casasnovas, José Antonio; Daniele, Elisa; Uribeetxebarria Alonso de Armiño, Asier; Escolà i Agustí, Alexandre; Rosell Polo, Joan Ramon; Sartori, Luigi; Arnó Satorra, Jaume; . (2017) . Combined use of remote sensing and soil sensors to detect variability in orchards with previous changes in land use and landforms: consequences for management. Advances in Animal Biosciences, 2017, vol. 8, núm. 2, p. 492-497. https://doi.org/10.1017/S2040470017001224.
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Abstract
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.
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http://hdl.handle.net/10459.1/60177
DOI
https://doi.org/10.1017/S2040470017001224
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Advances in Animal Biosciences, 2017, vol. 8, núm. 2, p. 492-497
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