Full mission evaluation of EnMAP water leaving reflectance products using three atmospheric correction processors

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Mariana A. Soppa
  • Maximilian Brell
  • Sabine Chabrillat
  • Leonardo M.A. Alvarado
  • Peter Gege
  • Stefan Plattner
  • Ian Somlai-Schweiger
  • Thomas Schroeder
  • François Steinmetz
  • Daniel Scheffler
  • Vittorio E. Brando
  • Mariano Bresciani
  • Claudia Giardino
  • Simone Colella
  • Dieter Vansteenwegen
  • Maximilian Langheinrich
  • Emiliano Carmona
  • Martin Bachmann
  • Miguel Pato
  • Sebastian Fischer
  • Astrid Bracher

Organisationseinheiten

Externe Organisationen

  • Alfred-Wegener-Institut (AWI) Helmholtz-Zentrum für Polar- und Meeresforschung
  • Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum (GFZ)
  • Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)
  • Commonwealth Scientific and Industrial Research Organisation (CSIRO)
  • HYGEOS
  • Consiglio Nazionale delle Ricerche (CNR)
  • Flanders Marine Institute
  • Universität Bremen
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)28215-28230
Seitenumfang16
FachzeitschriftOptics express
Jahrgang32
Ausgabenummer16
PublikationsstatusVeröffentlicht - 22 Juli 2024

Abstract

This study presents what we believe is the first extensive assessment of the water reflectance products from the German hyperspectral Environmental Mapping and Analysis Program (EnMAP). We evaluate EnMAP’s standard normalized water leaving reflectance [ρ W]N over 17 water sites in the first two years of the mission. The EnMAP [ρ W]N standard product is generated by a dedicated water atmospheric correction (AC) called the Modular Inversion Program (MIP). The quality of the [ρ W]N retrievals was assessed using in situ hyperspectral measurements and Aerosol Robotic Network - Ocean Colour (AERONET-OC) multispectral measurements. The results showed very good agreement between in situ hyperspectral match-ups and EnMAP [ρ W]N, with an underestimation of EnMAP of −17.37% (bias, β) and an error (ϵ) of 23.75% at 418 – 797 nm. Two other AC processors were also investigated: the polynomial based algorithm applied to MERIS (Polymer) and the atmospheric correction for OLI lite (Acolite). The intercomparison exercise between the three AC methods applied to EnMAP data using the hyperspectral match-up dataset showed better statistical metrics for MIP (ϵ = 23%, β = −17.37%) compared to Polymer (ϵ = 42.20%, β = −2.43%) and Acolite (ϵ = 97%, β = 97%). The superior performance of MIP was further confirmed by the validation results obtained with the multispectral match-up dataset; MIP retrievals show good agreement with in situ measurements at the majority of study sites. Conversely, Polymer and Acolite retrievals tended to overestimate, especially in clearer waters as the Lampedusa study site.

ASJC Scopus Sachgebiete

Zitieren

Full mission evaluation of EnMAP water leaving reflectance products using three atmospheric correction processors. / Soppa, Mariana A.; Brell, Maximilian; Chabrillat, Sabine et al.
in: Optics express, Jahrgang 32, Nr. 16, 22.07.2024, S. 28215-28230.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Soppa, MA, Brell, M, Chabrillat, S, Alvarado, LMA, Gege, P, Plattner, S, Somlai-Schweiger, I, Schroeder, T, Steinmetz, F, Scheffler, D, Brando, VE, Bresciani, M, Giardino, C, Colella, S, Vansteenwegen, D, Langheinrich, M, Carmona, E, Bachmann, M, Pato, M, Fischer, S & Bracher, A 2024, 'Full mission evaluation of EnMAP water leaving reflectance products using three atmospheric correction processors', Optics express, Jg. 32, Nr. 16, S. 28215-28230. https://doi.org/10.1364/OE.523813
Soppa, M. A., Brell, M., Chabrillat, S., Alvarado, L. M. A., Gege, P., Plattner, S., Somlai-Schweiger, I., Schroeder, T., Steinmetz, F., Scheffler, D., Brando, V. E., Bresciani, M., Giardino, C., Colella, S., Vansteenwegen, D., Langheinrich, M., Carmona, E., Bachmann, M., Pato, M., ... Bracher, A. (2024). Full mission evaluation of EnMAP water leaving reflectance products using three atmospheric correction processors. Optics express, 32(16), 28215-28230. https://doi.org/10.1364/OE.523813
Soppa MA, Brell M, Chabrillat S, Alvarado LMA, Gege P, Plattner S et al. Full mission evaluation of EnMAP water leaving reflectance products using three atmospheric correction processors. Optics express. 2024 Jul 22;32(16):28215-28230. doi: 10.1364/OE.523813
Soppa, Mariana A. ; Brell, Maximilian ; Chabrillat, Sabine et al. / Full mission evaluation of EnMAP water leaving reflectance products using three atmospheric correction processors. in: Optics express. 2024 ; Jahrgang 32, Nr. 16. S. 28215-28230.
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title = "Full mission evaluation of EnMAP water leaving reflectance products using three atmospheric correction processors",
abstract = "This study presents what we believe is the first extensive assessment of the water reflectance products from the German hyperspectral Environmental Mapping and Analysis Program (EnMAP). We evaluate EnMAP{\textquoteright}s standard normalized water leaving reflectance [ρ W]N over 17 water sites in the first two years of the mission. The EnMAP [ρ W]N standard product is generated by a dedicated water atmospheric correction (AC) called the Modular Inversion Program (MIP). The quality of the [ρ W]N retrievals was assessed using in situ hyperspectral measurements and Aerosol Robotic Network - Ocean Colour (AERONET-OC) multispectral measurements. The results showed very good agreement between in situ hyperspectral match-ups and EnMAP [ρ W]N, with an underestimation of EnMAP of −17.37% (bias, β) and an error (ϵ) of 23.75% at 418 – 797 nm. Two other AC processors were also investigated: the polynomial based algorithm applied to MERIS (Polymer) and the atmospheric correction for OLI lite (Acolite). The intercomparison exercise between the three AC methods applied to EnMAP data using the hyperspectral match-up dataset showed better statistical metrics for MIP (ϵ = 23%, β = −17.37%) compared to Polymer (ϵ = 42.20%, β = −2.43%) and Acolite (ϵ = 97%, β = 97%). The superior performance of MIP was further confirmed by the validation results obtained with the multispectral match-up dataset; MIP retrievals show good agreement with in situ measurements at the majority of study sites. Conversely, Polymer and Acolite retrievals tended to overestimate, especially in clearer waters as the Lampedusa study site.",
author = "Soppa, {Mariana A.} and Maximilian Brell and Sabine Chabrillat and Alvarado, {Leonardo M.A.} and Peter Gege and Stefan Plattner and Ian Somlai-Schweiger and Thomas Schroeder and Fran{\c c}ois Steinmetz and Daniel Scheffler and Brando, {Vittorio E.} and Mariano Bresciani and Claudia Giardino and Simone Colella and Dieter Vansteenwegen and Maximilian Langheinrich and Emiliano Carmona and Martin Bachmann and Miguel Pato and Sebastian Fischer and Astrid Bracher",
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Download

TY - JOUR

T1 - Full mission evaluation of EnMAP water leaving reflectance products using three atmospheric correction processors

AU - Soppa, Mariana A.

AU - Brell, Maximilian

AU - Chabrillat, Sabine

AU - Alvarado, Leonardo M.A.

AU - Gege, Peter

AU - Plattner, Stefan

AU - Somlai-Schweiger, Ian

AU - Schroeder, Thomas

AU - Steinmetz, François

AU - Scheffler, Daniel

AU - Brando, Vittorio E.

AU - Bresciani, Mariano

AU - Giardino, Claudia

AU - Colella, Simone

AU - Vansteenwegen, Dieter

AU - Langheinrich, Maximilian

AU - Carmona, Emiliano

AU - Bachmann, Martin

AU - Pato, Miguel

AU - Fischer, Sebastian

AU - Bracher, Astrid

N1 - Publisher Copyright: © 2024 Optica Publishing Group.

PY - 2024/7/22

Y1 - 2024/7/22

N2 - This study presents what we believe is the first extensive assessment of the water reflectance products from the German hyperspectral Environmental Mapping and Analysis Program (EnMAP). We evaluate EnMAP’s standard normalized water leaving reflectance [ρ W]N over 17 water sites in the first two years of the mission. The EnMAP [ρ W]N standard product is generated by a dedicated water atmospheric correction (AC) called the Modular Inversion Program (MIP). The quality of the [ρ W]N retrievals was assessed using in situ hyperspectral measurements and Aerosol Robotic Network - Ocean Colour (AERONET-OC) multispectral measurements. The results showed very good agreement between in situ hyperspectral match-ups and EnMAP [ρ W]N, with an underestimation of EnMAP of −17.37% (bias, β) and an error (ϵ) of 23.75% at 418 – 797 nm. Two other AC processors were also investigated: the polynomial based algorithm applied to MERIS (Polymer) and the atmospheric correction for OLI lite (Acolite). The intercomparison exercise between the three AC methods applied to EnMAP data using the hyperspectral match-up dataset showed better statistical metrics for MIP (ϵ = 23%, β = −17.37%) compared to Polymer (ϵ = 42.20%, β = −2.43%) and Acolite (ϵ = 97%, β = 97%). The superior performance of MIP was further confirmed by the validation results obtained with the multispectral match-up dataset; MIP retrievals show good agreement with in situ measurements at the majority of study sites. Conversely, Polymer and Acolite retrievals tended to overestimate, especially in clearer waters as the Lampedusa study site.

AB - This study presents what we believe is the first extensive assessment of the water reflectance products from the German hyperspectral Environmental Mapping and Analysis Program (EnMAP). We evaluate EnMAP’s standard normalized water leaving reflectance [ρ W]N over 17 water sites in the first two years of the mission. The EnMAP [ρ W]N standard product is generated by a dedicated water atmospheric correction (AC) called the Modular Inversion Program (MIP). The quality of the [ρ W]N retrievals was assessed using in situ hyperspectral measurements and Aerosol Robotic Network - Ocean Colour (AERONET-OC) multispectral measurements. The results showed very good agreement between in situ hyperspectral match-ups and EnMAP [ρ W]N, with an underestimation of EnMAP of −17.37% (bias, β) and an error (ϵ) of 23.75% at 418 – 797 nm. Two other AC processors were also investigated: the polynomial based algorithm applied to MERIS (Polymer) and the atmospheric correction for OLI lite (Acolite). The intercomparison exercise between the three AC methods applied to EnMAP data using the hyperspectral match-up dataset showed better statistical metrics for MIP (ϵ = 23%, β = −17.37%) compared to Polymer (ϵ = 42.20%, β = −2.43%) and Acolite (ϵ = 97%, β = 97%). The superior performance of MIP was further confirmed by the validation results obtained with the multispectral match-up dataset; MIP retrievals show good agreement with in situ measurements at the majority of study sites. Conversely, Polymer and Acolite retrievals tended to overestimate, especially in clearer waters as the Lampedusa study site.

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