COSMO SkyMed AO projects -soil moisture detection for vegetation fields based on a modified water-cloud model using COSMO-SkyMed SAR data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kweon, S.-K. | - |
dc.contributor.author | Hwang, J.-H. | - |
dc.contributor.author | Oh, Y. | - |
dc.date.accessioned | 2021-12-02T04:45:23Z | - |
dc.date.available | 2021-12-02T04:45:23Z | - |
dc.date.created | 2021-11-30 | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/19098 | - |
dc.description.abstract | In this study, we developed a soil moisture retrieval technique for vegetation fields using a modified water-cloud model. The water-cloud model has been a typical algorithm used to analyze scattering from vegetation fields for a long time, because it is simple to be used for retrieving a variety of information such as soil moisture and vegetation water mass. However, its accuracy has been questionable because the water-cloud model contains lots of approximations in the process of simplification. To improve the accuracy of the algorithm, we modified the water-cloud model with the estimation of parameters using a radiative transfer model. Soil moisture is retrieved from SAR images by the modified water-cloud model for vegetation fields and compared with in-situ measured ground truth data. © 2012 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | COSMO SkyMed AO projects -soil moisture detection for vegetation fields based on a modified water-cloud model using COSMO-SkyMed SAR data | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Oh, Y. | - |
dc.identifier.doi | 10.1109/IGARSS.2012.6350825 | - |
dc.identifier.scopusid | 2-s2.0-84873114488 | - |
dc.identifier.wosid | 000313189401105 | - |
dc.identifier.bibliographicCitation | International Geoscience and Remote Sensing Symposium (IGARSS), pp.1204 - 1207 | - |
dc.relation.isPartOf | International Geoscience and Remote Sensing Symposium (IGARSS) | - |
dc.citation.title | International Geoscience and Remote Sensing Symposium (IGARSS) | - |
dc.citation.startPage | 1204 | - |
dc.citation.endPage | 1207 | - |
dc.type.rims | ART | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Geology | - |
dc.relation.journalResearchArea | Remote Sensing | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Geosciences, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Remote Sensing | - |
dc.subject.keywordAuthor | backscattering coefficients | - |
dc.subject.keywordAuthor | Inversion algorithm | - |
dc.subject.keywordAuthor | soil moisture | - |
dc.subject.keywordAuthor | vegetation canopy | - |
dc.subject.keywordAuthor | water-cloud model | - |
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