Soil Moisture Content Inversion by Coupling AEA and ARMA

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dc.contributor.authorFeng, Y.
dc.contributor.authorNie, J.
dc.contributor.authorXie, G.
dc.contributor.authorLv, H.
dc.coverage.issue3cs
dc.coverage.volume33cs
dc.date.accessioned2025-04-04T11:12:55Z
dc.date.available2025-04-04T11:12:55Z
dc.date.issued2024-09cs
dc.description.abstractThis study aimed to explore the inversion method of soil moisture content by using numerical simulation and field detection. The researchers used the early signal amplitude envelope (AEA) method to directly invert soil moisture in the shallow part of the soil, which avoided the transmission error of the Topp formula. The Auto-Regressive Moving Average Model (ARMA) was used to calculate the power spectrum of radar signals, and the BP neural network was used to train the power spectrum of different Gaussian windows, so as to improve the inversion accuracy. According to the study, the average error of soil moisture content inverted by AEA method was 0.45% in the range of 0-0.41m, while the error of ARMA method in depth range of 0.1-1.0m was less than 1%. The results showed that the combination of the two methods can effectively invert the soil moisture content within the radar detection range.en
dc.formattextcs
dc.format.extent376-386cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2024 vol. 33, iss. 3, s. 376-386. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2024.0376en
dc.identifier.issn1210-2512
dc.identifier.urihttps://hdl.handle.net/11012/250712
dc.language.isoencs
dc.publisherRadioengineering Societycs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2024/24_03_0376_0386.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectGround penetrating radaren
dc.subjectAEAen
dc.subjectARMAen
dc.subjectsoil moisture contenten
dc.subjectBP neural networken
dc.titleSoil Moisture Content Inversion by Coupling AEA and ARMAen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta elektrotechniky a komunikačních technologiícs
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