Optical water characterization and atmospheric correction assessment of estuarine and coastal waters around the AERONET-OC Bahia Blanca
- 1Instituto Argentino de Oceanografía (IADO-CONICET-UNS), Bahía Blanca, Argentina
- 2Departamento de Biología Bioquímica y Farmacia, Universidad Nacional del Sur (UNS), Bahía Blanca, Argentina
- 3Centro de Recursos Renovables de la Zona Semiárida (CERZOS-CONICET-UNS), Bahía Blanca, Argentina
- 4Laboratoire d’Océanologie et de Géosciences, Université du Littoral-Côte-d’Opale, Université Lille, CNRS, IRD, UMR, LOG, Wimereux, France
- 5Institut Mediterrani d’Estudis Avançats (IMEDEA-CSIC-UIB), Esporles, Spain
A Corrigendum on
Optical water characterization and atmospheric correction assessment of estuarine and coastal waters around the AERONET-OC Bahia Blanca
by Arena M, Pratolongo P, Loisel H, Tran MD, Jorge DSF and Delgado AL (2024). Front. Remote Sens. 5:1305787. doi: 10.3389/frsen.2024.1305787
In the published article, there was an error in Figure 5 as published. The conversion to Lwn(λ) of the “ACOLITE-DSF” products was miscalculated due to an additional division by a factor of pi. Consequently, scatterplots of the “ACOLITE-DSF” match-up exercise exhibited significantly underestimated values with errors of large magnitude. The corrected Figure 5 and its caption appear below.
Figure 5. Scatterplots of the match-up exercise of the atmospheric correction algorithm (AC) retrieval and the in situ Lwn (443, 490, 510, 560 nm). Colors indicate the OWT: OWT 3 in green, OWT 4 in yellow.
A correction has been made to 3. Results, 3.3 Validation of OLCI (Sentinel 3A-B) Lwn(λ), paragraph 2. This paragraph previously stated:
“At 412 nm, the “Standard NN” presented the lowest RSME (0.29 mW cm2 sr µm)−1 and NMAE (12%) (Supplementary Figure S2, Supplementary Material). Similar results were obtained with the l2gen processor whose performance was relatively intermediate (RSME: 0.51 and 0.73, and NMDE: 24 and 38 at 412 nm for “SeaDAS” and “SeaDAS-ALT”, respectively). Results from “SeaDAS” and “SeaDAS-ALT” were similar, with a slight tendency to overestimation in both cases. In the case of blue-green bands, overestimation resulted in large biases, NMDEs and offsets (Figure 5). POLYMER and ACOLITE-DSF consistently underestimated Lwn (λ) with negative biases and lower coefficients of determination. It has to be noted that POLYMER performance improved at 510, 560, and 665 nm, but large RSMEs and NMAEs, as well as larger dispersion were observed when compared to the operational algorithm. In the study area, ACOLITE-DSF produced large underestimations with errors of large magnitude in the visible bands (Figure 5).”
The corrected paragraph appears below:
“At 412 nm, the “Standard NN” presented the lowest RSME (0.29 mW cm2 sr µm)−1 and NMAE (12%) (Supplementary Figure S2, Supplementary Material). Similar results were obtained with the l2gen processor whose performance was relatively intermediate (RSME: 0.51 and 0.73, and NMDE: 24 and 38 at 412 nm for “SeaDAS” and “SeaDAS-ALT”, respectively). Results from “SeaDAS”, “SeaDAS-ALT” and “ACOLITE-DSF” were similar, with a slight tendency to overestimation in all cases. In the case of blue-green bands, overestimation resulted in large biases, NMDEs and offsets (Figure 5). POLYMER consistently underestimated Lwn (λ) with negative biases and lower coefficients of determination. It has to be noted that POLYMER performance improved at 510, 560, and 665 nm, but large RSMEs and NMAEs, as well as larger dispersion were observed when compared to the operational algorithm (Figure 5).”
The authors apologize for these errors and state that these do not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: AERONET-OC, optical water types, atmospheric correction, Sentinel-3 OLCI, coastal waters
Citation: Arena M, Pratolongo P, Loisel H, Tran MD, Schaffer Ferreira Jorge D and Delgado AL (2024) Corrigendum: Optical water characterization and atmospheric correction assessment of estuarine and coastal waters around the AERONET-OC Bahia Blanca. Front. Remote Sens. 5:1425429. doi: 10.3389/frsen.2024.1425429
Received: 29 April 2024; Accepted: 22 May 2024;
Published: 04 June 2024.
Edited by:
Vittorio Ernesto Brando, National Research Council (CNR), ItalyReviewed by:
Tristan Harmel, Earth Observation Unit, FranceAnna Windle, Goddard Space Flight Center, United States
Copyright © 2024 Arena, Pratolongo, Loisel, Tran, Schaffer Ferreira Jorge and Delgado. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Maximiliano Arena, marena@iado-conicet.gob.ar