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Early stage variable rate nitrogen fertilization of silage maize driven by multi-temporal clustering of archive satellite data

Published online by Cambridge University Press:  01 June 2017

R. Casa ,
F. Pelosi ,
S. Pascucci ,
F. Fontana ,
F. Castaldi ,
S. Pignatti  and
M. Pepe
R. Casa*
Affiliation:
DAFNE, University of Tuscia, Via San Camillo de Lellis, 01100 Viterbo, Italy
F. Pelosi
Affiliation:
DAFNE, University of Tuscia, Via San Camillo de Lellis, 01100 Viterbo, Italy
S. Pascucci
Affiliation:
National Research Council, Institute of Methodologies for Enrironmental Analysis (IMAA) Via Fosso del Cavaliere 100, 00133 Roma, Italy
F. Fontana
Affiliation:
DAFNE, University of Tuscia, Via San Camillo de Lellis, 01100 Viterbo, Italy
F. Castaldi
Affiliation:
Georges Lemaître Centre for Earth and Climate Research, Université Catholique de Louvain (UCL), Louvain-la-Neuve, Belgium
S. Pignatti
Affiliation:
National Research Council, Institute of Methodologies for Enrironmental Analysis (IMAA) Via Fosso del Cavaliere 100, 00133 Roma, Italy
M. Pepe
Affiliation:
National Research Council, Institute for Electromagnetic Sensing of the Environment (IREA), via Bassini 15, Milano, Italy
*
†E-mail: rcasa@unitus.it
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Abstract

Nitrogen fertilization of silage maize in Central Italy is typically carried out with two applications at early stages of crop development: 2nd (V2) and 6th (V6) leaf respectively. In such conditions, the crop has not yet fully covered the soil and proximal or remote sensing of the canopy is hindered by the strong soil background signal. There is thus great interest in rapid and inexpensive approaches to N fertilization prescription. Therefore, an indirect method for inferring information on yield potential and soil variability, through a field-based clustering of multi-temporal satellite data, has been developed using archive Landsat images to identify temporally constant patterns. This method is potentially useful for the creation of prescription maps. The usefulness of the method was evaluated during an N fertilisation field trial in Maccarese (Central Italy), in 2016. At the V2 stage, both uniform and variable rate applications were performed and compared. A pseudo-cross variogram and a standardized ordinary co-kriging methodology was used to highlight spatially variable significant differences among the treatments.

Keywords

cornpseudo co-kriginguniform management zonesvariable rate application
Type
Precision Nitrogen
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 288 - 292
Copyright
© The Animal Consortium 2017 

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