Inter-calibration of Landsat 8 and 9 operational land imagers

Norvik Voskanian; Brian N. Wenny; Mohammad H. Tahersima; Kurtis Thome

doi:10.1117/12.2633073

30 September 2022 Inter-calibration of Landsat 8 and 9 operational land imagers

Norvik Voskanian, Brian N. Wenny, Mohammad H. Tahersima, Kurtis Thome

Proceedings Volume 12232, Earth Observing Systems XXVII; 122320Y (2022) https://doi.org/10.1117/12.2633073
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

Combining images from multiple Earth Observing (EO) satellites increases the temporal resolution of the data; overcoming the limitations imposed by low revisit time and cloud coverage. However, this requires an inter-calibration process, to ensure that there is no radiometric difference in top-of-atmosphere (TOA) observations and to quantify any offset in the respective instruments. In addition, combining vicarious calibration processes to the inter calibration of instruments can provide a useful mechanism to validate and compare data from multiple sensors. The Radiometric Calibration Network (RadCalNet) provides automated surface and top-of atmosphere reflectance data from multiple participating ground sites that can be used for instrument vicarious calibration. We present comparative analysis of the Landsat 8 and Landsat 9 Operational Land ImagerOLI) sensors and validate the data by comparing them to measurements from RadCalNet sites as a quantitative inter-calibration approach. The presented process provides SItraceable inter calibration methodology and quantifies the offset and uncertainty in the OLI and MSI instruments to assess if the data can be reliably cross corelated and used by the scientific community.

Conference Presentation

Citation Download Citation

Norvik Voskanian, Brian N. Wenny, Mohammad H. Tahersima, and Kurtis Thome "Inter-calibration of Landsat 8 and 9 operational land imagers", Proc. SPIE 12232, Earth Observing Systems XXVII, 122320Y (30 September 2022); https://doi.org/10.1117/12.2633073

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