Combined use of remote sensing and soil sensors to detect variability in orchards with previous changes in land use and landforms: consequences for management

Martínez Casasnovas, José Antonio; Daniele, Elisa; Uribeetxebarria Alonso de Armiño, Asier; Escolà i Agustí, Alexandre; Rosell Polo, Joan Ramon; Sartori, Luigi; Arnó Satorra, Jaume

doi:https://doi.org/10.1017/S2040470017001224

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Issue date

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

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.

URI

http://hdl.handle.net/10459.1/60177

DOI

https://doi.org/10.1017/S2040470017001224

Is part of

Advances in Animal Biosciences, 2017, vol. 8, núm. 2, p. 492-497