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Time series noise of Copernicus Sentinel-2 operational L2A-Products of year 2022

Pflug, Bringfried and Louis, Jerome and de los Reyes, Raquel and Pertiwi, Avi Putri and Pignatale, Francesco Cristiano and Clerc, Sebastien and Enache, Silvia and Iannone, Rosario and Boccia, Valentina and Gascon, Ferran (2023) Time series noise of Copernicus Sentinel-2 operational L2A-Products of year 2022. LPVE - Workshop on Land Product Validation and Evolution, 2023-06-12 - 2023-06-14, Frascati, Italien.

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Abstract

Copernicus Sentinel-2 is the main European land surface observing mission. It serves for observation of land-cover change and deriving biophysical variables related to agriculture and forestry, monitors coastal and inland waters and is useful for risk and disaster mapping. Data quality of the provided data products is a critical point for all these applications. The Sentinel-2 mission consists of a constellation of two polar orbiting satellite units. Both Sentinel-2A and Sentinel-2B are equipped with an identical optical imaging sensor MSI (Multi-Spectral Instrument) which samples 13 spectral bands: four bands at 10 m in the Visible Near Infrared (VNIR) region, six bands at 20 m and three bands at 60 m spatial resolution in the VNIR to Shortwave Infrared (SWIR) region. Sentinel-2 Level-2A (L2A) data contain Bottom-of-Atmosphere (BOA) surface reflectance products together with Aerosol Optical Thickness (AOT), Integrated Water Vapour (WV) and Scene Classification (SCL) maps. They are generated with Sen2Cor which is the operational atmospheric correction processor that removes the effect of the atmosphere from Top-of-Atmosphere Level-1C data. ESA started the complete reprocessing of the Sentinel-2 data archive named Collection-1 which is tagged with the processing baseline (PB) 5.00. The previous processing baseline PB 4.00 has equivalent evolutions and is very close to the PB 5.00 of Collection-1. Operational L2A products with PB 4.00 were generated from end of January 2022 to beginning of December 2022. In this presentation we propose to study surface reflectance time series smoothness, for several test sites, using L2A products from year 2022. The smoothness of that time series is used as an indicator of data quality of the reprocessed products. Test sites are selected representing different climate zones with different AOT retrieval performance 0.03 ≤ RMSDAOT ≤ 0.20 and different WV retrieval performance 0.12 g/cm2 ≤ RMSDWV ≤ 0.40 g/cm2.

Item URL in elib:https://elib.dlr.de/195410/
Document Type:Conference or Workshop Item (Poster)
Title:Time series noise of Copernicus Sentinel-2 operational L2A-Products of year 2022
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Pflug, BringfriedUNSPECIFIEDhttps://orcid.org/0000-0002-4626-9393UNSPECIFIED
Louis, JeromeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
de los Reyes, RaquelUNSPECIFIEDhttps://orcid.org/0000-0003-0485-9552UNSPECIFIED
Pertiwi, Avi PutriUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pignatale, Francesco CristianoTelespazio Germany GmbHUNSPECIFIEDUNSPECIFIED
Clerc, SebastienUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Enache, SilviaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Iannone, RosarioRHEA System S.p.A.UNSPECIFIEDUNSPECIFIED
Boccia, ValentinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Gascon, FerranUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:12 June 2023
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Validation, atmospheric correction, Sentinel-2, Sen2Cor, time-series
Event Title:LPVE - Workshop on Land Product Validation and Evolution
Event Location:Frascati, Italien
Event Type:Workshop
Event Start Date:12 June 2023
Event End Date:14 June 2023
Organizer:ESA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Optical remote sensing
Location: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Pflug, Bringfried
Deposited On:15 Jun 2023 13:56
Last Modified:24 Apr 2024 20:55

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