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 |
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| 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 |
| DOI: | 10.1080/17538947.2024.2413885 |
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