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Intercomparison of Landsat OLI and Terra ASTER solar reflective calibrations using the Radiometric Calibration Network data from Railroad Valley, Nevada
Author
Yarahmadi, M.Thome, K.J.
Wenny, B.N.
Czapla-Myers, J.
Tahersima, M.
Voskanian, N.
Eftekharzadeh, S.
Affiliation
College of Optical Sciences, University of ArizonaIssue Date
2023-10-04
Metadata
Show full item recordPublisher
SPIECitation
M. Yarahmadi, K. J. Thome, B. N. Wenny, J. Czapla-Myers, M. Tahersima, N. Voskanian, S. Eftekharzadeh, "Intercomparison of Landsat OLI and Terra ASTER solar reflective calibrations using the Radiometric Calibration Network data from Railroad Valley, Nevada," Proc. SPIE 12685, Earth Observing Systems XXVIII, 1268515 (4 October 2023); https://doi.org/10.1117/12.2677409Rights
© 2023 SPIE. (2023) Published by SPIE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
This paper presents an intercomparison study between the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Landsat 8 Operational Land Imager (OLI) using data from the Radiometric Calibration Network (RadCalNet). The study evaluates the radiometric performance and agreement between ASTER and Landsat 8 OLI, focusing on their spectral bands relevant for vegetation analysis and land cover classification. The analysis includes the assessment of data quality, uncertainties, and factors influencing the measurements. The results demonstrate the usability of RadCalNet in evaluating the accuracy and reliability of remote sensing data. The findings contribute to our understanding of the strengths and limitations of ASTER and Landsat 8 OLI, supporting informed decision-making in environmental monitoring and resource management. Overall, the intercomparison study provides valuable insights into the capabilities and limitations of ASTER and Landsat 8 OLI, highlighting the importance of RadCalNet in assessing the radiometric performance of remote sensing sensors. The results from the Railroad Valley RadCalNet show that the site is suitable for sensors with spatial resolutions as small as 15 m. The comparison between ASTER and OLI demonstrates that the recent update to the ASTER radiometric calibration provides results that are in agreement with Landsat 8 OLI to well within the absolute radiometric uncertainties of both sensors. © 2023 SPIE · 0277-786X.Note
Immediate accessISSN
0277-786XISBN
978-151066584-2Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1117/12.2677409