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Python software to transform GPS SNR wave phases to volumetric water content

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Python software to transform GPS SNR wave phases to volumetric water content

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dc.contributor.author Martín Furones, Ángel Esteban es_ES
dc.contributor.author Anquela Julián, Ana Belén es_ES
dc.contributor.author Ibañez Asensio, Sara es_ES
dc.contributor.author Baixauli Soria, Carlos es_ES
dc.contributor.author Blanc Clavero, Sara es_ES
dc.date.accessioned 2023-09-25T18:01:54Z
dc.date.available 2023-09-25T18:01:54Z
dc.date.issued 2022-01 es_ES
dc.identifier.issn 1080-5370 es_ES
dc.identifier.uri http://hdl.handle.net/10251/197088
dc.description.abstract [EN] The global navigation satellite system interferometric reflectometry is often used to extract information about the environment surrounding the antenna. One of the most important applications is soil moisture monitoring. This manuscript presents the main ideas and implementation decisions needed to write the Python code to transform the derived phase of the interferometric GPS waves, obtained from signal-to-noise ratio data continuously observed during a period of several weeks (or months), to volumetric water content. The main goal of the manuscript is to share the software with the scientific community to help users in the GPS-IR computation. es_ES
dc.description.sponsorship Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof GPS Solutions es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject GNSS-IR reflectometry es_ES
dc.subject Python software es_ES
dc.subject Soil moisture es_ES
dc.subject Signal-to-noise ratio (SNR) es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.subject.classification PRODUCCION VEGETAL es_ES
dc.title Python software to transform GPS SNR wave phases to volumetric water content es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10291-021-01190-3 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica - Escola Tècnica Superior d'Enginyeria Geodèsica, Cartogràfica i Topogràfica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Martín Furones, ÁE.; Anquela Julián, AB.; Ibañez Asensio, S.; Baixauli Soria, C.; Blanc Clavero, S. (2022). Python software to transform GPS SNR wave phases to volumetric water content. GPS Solutions. 26(1):1-5. https://doi.org/10.1007/s10291-021-01190-3 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s10291-021-01190-3 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 5 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 26 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela S\452761 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.description.references Chen Q, Won D, Akos DM, Small EE (2016) Vegetation using GPS interferometric reflectometry: experimental results with a horizontal polarized antenna. IEEE J Sel Top Appl Earth Obs Remote Sens 9(10):4771–4780 es_ES
dc.description.references Chew CC, Small EE, Larson KM, Zavorotny VU (2014) Effects of near-surface soil moisture on GPS SNR data: development and retrieval algorithm for soil moisture. IEEE T Geosci Remote Sens 52(1):537–543 es_ES
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dc.description.references Small EE, Larson KM, Chew CC, Dong J, Ochsner TE (2016) Validation of GPS-IR soil moisture retrievals: comparison of different algorithms to remove vegetation effects. IEEE J Sel Top Appl Earth Obs Remote Sens 9(10):4759–4770 es_ES
dc.description.references Vey S, Güntner A, Wickert J, Blume T, Ramatschi M (2016) Long-term soil moisture dynamics derived from GNSS interferometric reflectometry: a case study for Sutherland, South Africa. GPS Solut 20:641–654. https://doi.org/10.1007/s10291-015-0474-0 es_ES
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dc.description.references Zhang S, Roussel N, Boniface K, Ha MC, Frappart F, Darrozes J, Baup F, Calvet JC (2017) Use of reflected GNSS SNR data to retrieve either soil moisture or vegetation height from a wheat crop. Hydrol Earth Syst Sci 21:4767–4784 es_ES
dc.subject.ods 06.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todos es_ES
dc.subject.ods 08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos es_ES


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