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dc.contributor.author
Barber, Matias Ernesto
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dc.contributor.author
Rava, David Sebastian
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dc.contributor.author
López Martínez, Carlos
dc.date.available
2023-09-18T15:14:26Z
dc.date.issued
2021-11
dc.identifier.citation
Barber, Matias Ernesto; Rava, David Sebastian; López Martínez, Carlos; L-band SAR co-polarized phase difference modeling for corn fields; MDPI; Remote Sensing; 13; 22; 11-2021; 1-14
dc.identifier.issn
2072-4292
dc.identifier.uri
http://hdl.handle.net/11336/211832
dc.description.abstract
This research aims at modeling the microwave backscatter of corn fields by coupling an incoherent, interaction-based scattering model with a semi-empirical bulk vegetation dielectric model. The scattering model is fitted to co-polarized phase difference measurements over several corn fields imaged with fully polarimetric synthetic aperture radar (SAR) images with incidence angles ranging from 20° to 60°. The dataset comprised two field campaigns, one over Canada with the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR, 1.258 GHz) and the other one over Argentina with Advanced Land Observing Satellite 2 (ALOS-2) Phased Array type L-band Synthetic Aperture Radar (PALSAR-2) (ALOS-2/PALSAR-2, 1.236 GHz), totaling 60 data measurements over 28 grown corn fields at peak biomass with stalk gravimetric moisture larger than 0.8 g/g. Co-polarized phase differences were computed using a maximum likelihood estimation technique from each field’s measured speckled sample histograms. After minimizing the difference between the model and data measurements for varying incidence angles by a nonlinear least-squares fitting, well agreement was found with a root mean squared error of 24.3° for co-polarized phase difference measurements in the range of −170.3° to −19.13°. Model parameterization by stalk gravimetric moisture instead of its complex dielectric constant is also addressed. Further validation was undertaken for the UAVSAR dataset on earlier corn stages, where overall sensitivity to stalk height, stalk gravimetric moisture, and stalk area density agreed with ground data, with the sensitivity to stalk diameter being the weakest. This study provides a new perspective on the use of co-polarized phase differences in retrieving corn stalk features through inverse modeling techniques from space.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
MDPI
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
AGRICULTURE
dc.subject
CO-POLARIZED PHASE DIFFERENCE
dc.subject
POLARIMETRIC RADAR
dc.subject
RADAR APPLICATIONS
dc.subject
RADAR SCATTERING
dc.subject
SYNTHETIC APERTURE RADAR
dc.subject
VEGETATION
dc.subject.classification
Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
L-band SAR co-polarized phase difference modeling for corn fields
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-09-18T13:41:07Z
dc.journal.volume
13
dc.journal.number
22
dc.journal.pagination
1-14
dc.journal.pais
Suiza
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dc.description.fil
Fil: Barber, Matias Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.description.fil
Fil: Rava, David Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.description.fil
Fil: López Martínez, Carlos. Universidad Politécnica de Catalunya; España
dc.journal.title
Remote Sensing
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/rs13224593
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