Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) DOI Creative Commons
Suyoung Sim, Sungwon Choi, Daeseong Jung

et al.

Atmospheric measurement techniques, Journal Year: 2024, Volume and Issue: 17(18), P. 5601 - 5618

Published: Sept. 26, 2024

Abstract. In satellite remote sensing applications, enhancing the precision of level 2 (L2) algorithms relies heavily on accurate estimation surface reflectance across ultraviolet (UV) to visible (VIS) spectrum. However, mutual dependence between L2 and retrieval poses challenges, necessitating an alternative approach. To address this issue, many generate Lambertian-equivalent reflectivity (LER) products as a priori data; however, often results in underestimation these data. This study is first assess applicability background (BSR), derived using semi-empirical bidirectional distribution function (BRDF) model, operational environmental algorithm. pioneered application BRDF model hyperspectral data at 440 nm, aiming provide more realistic preliminary study, Geostationary Environment Monitoring Spectrometer (GEMS) were used, comparative analysis GEMS BSR LER retrieved revealed improvement relative root mean squared error (rRMSE) accuracy 3 %. Additionally, time series diverse land types indicated greater stability exhibited by than LER. For further validation, was compared with other databases ground-truth data, yielding superior simulation performance. These findings present promising avenue for from thereby advancing practical applications algorithms.

Language: Английский

Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) DOI Creative Commons
Suyoung Sim, Sungwon Choi, Daeseong Jung

et al.

Atmospheric measurement techniques, Journal Year: 2024, Volume and Issue: 17(18), P. 5601 - 5618

Published: Sept. 26, 2024

Abstract. In satellite remote sensing applications, enhancing the precision of level 2 (L2) algorithms relies heavily on accurate estimation surface reflectance across ultraviolet (UV) to visible (VIS) spectrum. However, mutual dependence between L2 and retrieval poses challenges, necessitating an alternative approach. To address this issue, many generate Lambertian-equivalent reflectivity (LER) products as a priori data; however, often results in underestimation these data. This study is first assess applicability background (BSR), derived using semi-empirical bidirectional distribution function (BRDF) model, operational environmental algorithm. pioneered application BRDF model hyperspectral data at 440 nm, aiming provide more realistic preliminary study, Geostationary Environment Monitoring Spectrometer (GEMS) were used, comparative analysis GEMS BSR LER retrieved revealed improvement relative root mean squared error (rRMSE) accuracy 3 %. Additionally, time series diverse land types indicated greater stability exhibited by than LER. For further validation, was compared with other databases ground-truth data, yielding superior simulation performance. These findings present promising avenue for from thereby advancing practical applications algorithms.

Language: Английский

Citations

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