https://www.sciencedirect.com/science/article/abs/pii/S0034425723000111

*Authors*
Jorge Sánchez- Zapero,  Fernando Camacho, Enrique Martínez-Sánchez, Javier
Gorroño, Jonathan León-Tavares, Iskander Benhadj, Carolien Toté, Else
Swinnen, Joaquín Muñoz-Sabater

https://doi.org/10.1016/j.rse.2023.113460

*28 January 2023*

*Citation*: Sánchez-Zapero, J., Camacho, F., Martínez-Sánchez, E., Gorroño,
J., León-Tavares, J., Benhadj, I., ... & Muñoz-Sabater, J. (2023). Global
estimates of surface albedo from Sentinel-3 OLCI and SLSTR data for
Copernicus Climate Change Service: Algorithm and preliminary
validation. *Remote
Sensing of Environment*, *287*, 113460.

Highlights

•

Retrieval method for global surface albedo estimates from Sentinel-3 is
proposed.
•

Algorithm is based on BRDF inversion, angular and spectral integration.
•

A cross-comparison with MODIS and PROBA-V satellite products is performed.
•

The direct validation includes comparison with spatially representative
ground data.
Abstract

The aim of Copernicus Climate Change Service (C3S) is to supply reliable
climate data in support of strategies to adaptation and mitigation to
climate change. The C3S provides access to high-quality climate data
through its Climate Data Records (CDRs) of atmospheric, marine and land
Essential Climate Variables (ECVs). Global Earth Surface Albedo (SA)
satellite-based products are included in the land (biosphere) portfolio. SA
is a magnitude which quantifies the fraction of solar energy reflected by
the surface of the Earth. This paper details the retrieval methodology and
preliminary validation results for global estimates of surface albedo based
on Sentinel-3 observations for the C3S ECVs data (C3S SA v3.0). The
retrieval algorithm exploits the synergistic use of the Ocean and Land
Colour Instrument (OLCI) and the Sea and Land Surface Temperature
Radiometer (SLSTR) on-board Sentinel-3 A and B satellites. Firstly, the
atmospherically corrected reflectances are generated in the Copernicus
Global Land Service framework. After that, the Bidirectional Reflectance
Distribution Function (BRDF) inversion module concludes the BRDF model
parameters, which are transferred to the angular integration module in
order to generate spectral albedo quantities for the selected OLCI (Oa03,
Oa04, Oa07, Oa17 and Oa21) and SLSTR (S1, S2, S5 and S6) bands. At the end,
the spectral integration module generates broadband albedo quantities in
three different standard broadband spectral regions (visible [0.4μ*m* − 0.7μ
*m* ], near infrared [0.7μ*m* − 4μ*m*] and total shortwave [0.3μ*m* − 4μ*m*]).
Preliminary validation results over 10-months demonstration period (July
2018–April 2019) show, in terms of spatial and temporal consistency, that
C3S Sentinel-3 SA global estimates reached in general good agreement as
compared to other satellite operational references derived from MODIS
(MCD43A3 C6) and PROBA-V (C3S PROBA-V SA v1.0) acquisitions. The comparison
with ground data shows similar results to the MCD43A3 C6 comparisons but
opposite sign in differences (marginally positive in case of Sentinel-3),
with accuracy of 0.005 (3.7%), precision of 0.016 (11.3%) and uncertainty
of 0.032 (22.7%). Our results have demonstrated the feasibility to estimate
global fields of SA from Sentinel-3 observations, with similar quality of
existing operational products. These Sentinel-3 based SA datasets will give
the continuity to the existing C3S SA CDR, introducing improvements in
terms of spatial resolution (300 m) and spectral information (9 spectral
albedos) in contrast to previous datasets based on Advanced Very High
Resolution Radiometer (AVHRR; 4 km, 4 channels) and Vegetation instruments
(VGT; 1 km, 4 channels).

*Source: ScienceDirect*

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