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Mapping within-field biomass variability: a remote sensing-based approach

Published online by Cambridge University Press:  01 June 2017

I. Campos*
Affiliation:
GIS and Remote Sensing Group, Instituto de Desarrollo Regional, Universidad de Castilla-La Mancha, Campus Universitario SN, Albacete, Spain AGRISAT, Pol, Campollano, Av, 1ª N 18, Albacete, Spain
L. González
Affiliation:
GIS and Remote Sensing Group, Instituto de Desarrollo Regional, Universidad de Castilla-La Mancha, Campus Universitario SN, Albacete, Spain
J. Villodre
Affiliation:
GIS and Remote Sensing Group, Instituto de Desarrollo Regional, Universidad de Castilla-La Mancha, Campus Universitario SN, Albacete, Spain
M. Calera
Affiliation:
ALIARA, C/Matadero 11, Talavera de la Reina, Spain
J. Campoy
Affiliation:
AGRISAT, Pol, Campollano, Av, 1ª N 18, Albacete, Spain
N. Jiménez
Affiliation:
ALIARA, C/Matadero 11, Talavera de la Reina, Spain
C. Plaza
Affiliation:
ALIARA, C/Matadero 11, Talavera de la Reina, Spain
A. Calera
Affiliation:
GIS and Remote Sensing Group, Instituto de Desarrollo Regional, Universidad de Castilla-La Mancha, Campus Universitario SN, Albacete, Spain
*
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Abstract

Biomass production is a diagnosis tool for the evaluation of the effect of climate, crop genomic and management. The differences in biomass accumulation are necessary for the assessment of the fertilization necessities in the strategies for variable nitrogen doses. Remote sensing-based data provide a direct observation of the differences in canopy development across time and space and can be integrated into the physiological basis of crop growth models to provide estimates of biomass production at fine scales. The proposed approach was applied in a wheat field in Albacete, Spain and the results were compared with measurements of aboveground biomass and yield maps obtained by a combined-mounted grain yield monitor.

Type
Precision Pasture
Copyright
© The Animal Consortium 2017 

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