Academic Journal
Derivation of tasseled cap transformation coefficients for SDGSAT-1 multispectral imager at-sensor reflectance data
| Τίτλος: | Derivation of tasseled cap transformation coefficients for SDGSAT-1 multispectral imager at-sensor reflectance data |
|---|---|
| Συγγραφείς: | Jiang, Nijun, Dou, Changyong, Tang, Yunwei, Galdies, Charles, Yan, Lin, Ding, Haifeng |
| Στοιχεία εκδότη: | Taylor & Francis |
| Έτος έκδοσης: | 2024 |
| Συλλογή: | University of Malta: OAR@UM / L-Università ta' Malta |
| Θεματικοί όροι: | Remote sensing -- Data processing, Image processing -- Digital techniques, Multispectral imaging, Environmental monitoring -- Remote sensing, Principal components analysis, Geographic information systems |
| Περιγραφή: | The tasseled cap transformation (TCT) is a widely used technique for reducing remote sensing multispectral data into three tasseled cap (TC) components – brightness, greenness, and wetness – while retaining essential information for various applications. We derived the TCT coefficients for 7-band SDGSAT-1 Multispectral Imager data for the first time by leveraging established Sentinel-2 TCT coefficients. This was achieved through Principal Component Analysis (PCA) for dimensional reduction of SDGSAT-1 data and the Procrustes Analysis (PA) method for aligning the principal components’ eigenvectors with the directions of Sentinel-2 TC components. A comparison between the new SDGSAT-1 coefficients and those of Sentinel-2 and Landsat-8 revealed a strong correlation, demonstrating similar characteristics for brightness, greenness, and wetness components. Given the established applications of TCT, the SDGSAT-1 TCT could significantly facilitate the use of SDGSAT-1 Multispectral Imager data for vegetation monitoring, water body analysis, and change detection. This study not only presents the derivation of SDGSAT-1 TCT coefficients but also highlights the effectiveness of the PA method in deriving TC wetness component coefficients that are sensitive to water bodies and vegetation, even for multispectral data lacking the moisture-sensitive shortwave-infrared (SWIR) band. ; peer-reviewed |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | English |
| Relation: | https://www.um.edu.mt/library/oar/handle/123456789/139251 |
| DOI: | 10.1080/17538947.2024.2413885 |
| Διαθεσιμότητα: | https://www.um.edu.mt/library/oar/handle/123456789/139251 https://doi.org/10.1080/17538947.2024.2413885 |
| Rights: | info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. |
| Αριθμός Καταχώρησης: | edsbas.AFF6FB7 |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://www.um.edu.mt/library/oar/handle/123456789/139251# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Header | DbId: edsbas DbLabel: BASE An: edsbas.AFF6FB7 RelevancyScore: 950 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 949.707946777344 |
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| Items | – Name: Title Label: Title Group: Ti Data: Derivation of tasseled cap transformation coefficients for SDGSAT-1 multispectral imager at-sensor reflectance data – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jiang%2C+Nijun%22">Jiang, Nijun</searchLink><br /><searchLink fieldCode="AR" term="%22Dou%2C+Changyong%22">Dou, Changyong</searchLink><br /><searchLink fieldCode="AR" term="%22Tang%2C+Yunwei%22">Tang, Yunwei</searchLink><br /><searchLink fieldCode="AR" term="%22Galdies%2C+Charles%22">Galdies, Charles</searchLink><br /><searchLink fieldCode="AR" term="%22Yan%2C+Lin%22">Yan, Lin</searchLink><br /><searchLink fieldCode="AR" term="%22Ding%2C+Haifeng%22">Ding, Haifeng</searchLink> – Name: Publisher Label: Publisher Information Group: PubInfo Data: Taylor & Francis – Name: DatePubCY Label: Publication Year Group: Date Data: 2024 – Name: Subset Label: Collection Group: HoldingsInfo Data: University of Malta: OAR@UM / L-Università ta' Malta – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Remote+sensing+--+Data+processing%22">Remote sensing -- Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing+--+Digital+techniques%22">Image processing -- Digital techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Multispectral+imaging%22">Multispectral imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+monitoring+--+Remote+sensing%22">Environmental monitoring -- Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Principal+components+analysis%22">Principal components analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink> – Name: Abstract Label: Description Group: Ab Data: The tasseled cap transformation (TCT) is a widely used technique for reducing remote sensing multispectral data into three tasseled cap (TC) components – brightness, greenness, and wetness – while retaining essential information for various applications. We derived the TCT coefficients for 7-band SDGSAT-1 Multispectral Imager data for the first time by leveraging established Sentinel-2 TCT coefficients. This was achieved through Principal Component Analysis (PCA) for dimensional reduction of SDGSAT-1 data and the Procrustes Analysis (PA) method for aligning the principal components’ eigenvectors with the directions of Sentinel-2 TC components. A comparison between the new SDGSAT-1 coefficients and those of Sentinel-2 and Landsat-8 revealed a strong correlation, demonstrating similar characteristics for brightness, greenness, and wetness components. Given the established applications of TCT, the SDGSAT-1 TCT could significantly facilitate the use of SDGSAT-1 Multispectral Imager data for vegetation monitoring, water body analysis, and change detection. This study not only presents the derivation of SDGSAT-1 TCT coefficients but also highlights the effectiveness of the PA method in deriving TC wetness component coefficients that are sensitive to water bodies and vegetation, even for multispectral data lacking the moisture-sensitive shortwave-infrared (SWIR) band. ; peer-reviewed – Name: TypeDocument Label: Document Type Group: TypDoc Data: article in journal/newspaper – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://www.um.edu.mt/library/oar/handle/123456789/139251 – Name: DOI Label: DOI Group: ID Data: 10.1080/17538947.2024.2413885 – Name: URL Label: Availability Group: URL Data: https://www.um.edu.mt/library/oar/handle/123456789/139251<br />https://doi.org/10.1080/17538947.2024.2413885 – Name: Copyright Label: Rights Group: Cpyrght Data: info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. – Name: AN Label: Accession Number Group: ID Data: edsbas.AFF6FB7 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/17538947.2024.2413885 Languages: – Text: English Subjects: – SubjectFull: Remote sensing -- Data processing Type: general – SubjectFull: Image processing -- Digital techniques Type: general – SubjectFull: Multispectral imaging Type: general – SubjectFull: Environmental monitoring -- Remote sensing Type: general – SubjectFull: Principal components analysis Type: general – SubjectFull: Geographic information systems Type: general Titles: – TitleFull: Derivation of tasseled cap transformation coefficients for SDGSAT-1 multispectral imager at-sensor reflectance data Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jiang, Nijun – PersonEntity: Name: NameFull: Dou, Changyong – PersonEntity: Name: NameFull: Tang, Yunwei – PersonEntity: Name: NameFull: Galdies, Charles – PersonEntity: Name: NameFull: Yan, Lin – PersonEntity: Name: NameFull: Ding, Haifeng IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa |
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