Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Robust inversion technique for retrieving soil moisture from multi-polarised backscatter of bare surface

Full metadata record
DC Field Value Language
dc.contributor.authorOh, Y.-
dc.date.accessioned2022-02-07T05:42:32Z-
dc.date.available2022-02-07T05:42:32Z-
dc.date.created2022-02-07-
dc.date.issued2006-03-30-
dc.identifier.issn0013-5194-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/24575-
dc.description.abstractA robust inversion technique using a genetic algorithm (GA)for retrieving soil moisture content from the multi-polarised radar data of bare soil surfaces is presented. This inversion technique employs a semi-empirical polarimetric backscattering model as a cost function for the GA. Good agreement is found between the values estimated by this inversion technique and those measured in situ.-
dc.language영어-
dc.language.isoen-
dc.publisherINST ENGINEERING TECHNOLOGY-IET-
dc.subjectROUGHNESS-
dc.titleRobust inversion technique for retrieving soil moisture from multi-polarised backscatter of bare surface-
dc.typeArticle-
dc.contributor.affiliatedAuthorOh, Y.-
dc.identifier.doi10.1049/el:20064083-
dc.identifier.scopusid2-s2.0-33750215264-
dc.identifier.wosid000237556100025-
dc.identifier.bibliographicCitationELECTRONICS LETTERS, v.42, no.7, pp.414 - 415-
dc.relation.isPartOfELECTRONICS LETTERS-
dc.citation.titleELECTRONICS LETTERS-
dc.citation.volume42-
dc.citation.number7-
dc.citation.startPage414-
dc.citation.endPage415-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusROUGHNESS-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electronic & Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE