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

Research output: Contribution to journalArticleResearchpeer review

Authors

  • 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

Research Organisations

External Research Organisations

  • Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research
  • Helmholtz Centre Potsdam - German Research Centre for Geosciences (GFZ)
  • German Aerospace Center (DLR)
  • Commonwealth Scientific and Industrial Research Organisation (CSIRO)
  • HYGEOS
  • National Research Council Italy (CNR)
  • Flanders Marine Institute
  • University of Bremen
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Details

Original languageEnglish
Pages (from-to)28215-28230
Number of pages16
JournalOptics express
Volume32
Issue number16
Publication statusPublished - 22 Jul 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 subject areas

Cite this

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, Vol. 32, No. 16, 22.07.2024, p. 28215-28230.

Research output: Contribution to journalArticleResearchpeer 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, vol. 32, no. 16, pp. 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 ; Vol. 32, No. 16. pp. 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.",
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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.

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