On the influence of acquisition geometry in backscatter time series over wheat

dc.contributor.authorArias Cuenca, María
dc.contributor.authorCampo-Bescós, Miguel
dc.contributor.authorÁlvarez-Mozos, Jesús
dc.contributor.departmentIngeniaritzaeu
dc.contributor.departmentInstitute on Innovation and Sustainable Development in Food Chain - ISFOODen
dc.contributor.departmentIngenieríaes_ES
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernuaes
dc.date.accessioned2022-04-12T06:27:04Z
dc.date.available2022-04-12T06:27:04Z
dc.date.issued2022
dc.description.abstractDense time series of Sentinel-1 imagery are an invaluable information source for agricultural applications. Multiple orbits can observe a specific area and their combination could improve the temporal resolution of the time series. However, the orbits have different acquisition geometries regarding incidence and azimuth angles that need to be considered. Furthermore, crops are dynamic canopies and the influence of incidence and azimuth angles might change during the agricultural season due to different phenological stages. The main objective of this letter is to evaluate the influence of different acquisition geometries in Sentinel-1 backscatter time series over wheat canopies, and to propose a strategy for their correction. A large dataset of wheat parcels (∼40,000) was used and 344 Sentinel-1 images from three relative orbits were processed during two agricultural seasons. The first analysis was a monthly evaluation of the influence of incidence angle on backscatter (σ0) and terrain flattened backscatter (γ0). It showed that terrain flattening significantly reduced the backscatter dependence on incidence angle, being negligible in VH polarization but not completely in VV polarization. Incidence angle influence in VV backscatter changed in time due to wheat growth dynamics. To further reduce it, an incidence angle normalization technique followed by an azimuthal anisotropy correction were applied. In conclusion, γ0 enabled a reasonable combination of different relative orbits, that may be sufficient for many applications. However, for detailed analyses, the correction techniques might be implemented to further reduce orbit differences, especially in bare soil periods or winter months.en
dc.description.sponsorshipThis work was supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (MINECO/FEDER-UE) through projects [CGL2016-75217-R and PID2019-107386RB-I00 / AEI / 10.13039/501100011033] and doctoral grant [BES-2017-080560].en
dc.format.extent6 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.1016/j.jag.2021.102671
dc.identifier.issn0303-2434
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/42709
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofInternational Journal of Applied Earth Observation and Geoinformation, vol. 106, february 2022en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/CGL2016-75217-R/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107386RB-I00/ES/
dc.relation.publisherversionhttps://doi.org/10.1016/j.jag.2021.102671
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAzimuthal anisotropyen
dc.subjectIncidence angleen
dc.subjectNormalizationen
dc.subjectSARen
dc.subjectSentinel-1en
dc.subjectWheaten
dc.titleOn the influence of acquisition geometry in backscatter time series over wheaten
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication08624ac7-fa16-4271-bcf9-8947430cf5ce
relation.isAuthorOfPublicatione9ca0d9f-24bc-4ce1-871f-81ce4e86b5bd
relation.isAuthorOfPublicationf2f80825-fc58-4e45-9814-9eb10b68c4a9
relation.isAuthorOfPublication.latestForDiscovery08624ac7-fa16-4271-bcf9-8947430cf5ce

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