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

Author:

Soppa Mariana A.ORCID,Brell Maximilian1,Chabrillat Sabine12,Alvarado Leonardo M. A.3,Gege Peter3ORCID,Plattner Stefan3ORCID,Somlai-Schweiger Ian3ORCID,Schroeder Thomas4,Steinmetz François5,Scheffler Daniel1,Brando Vittorio E.6ORCID,Bresciani Mariano7ORCID,Giardino Claudia7ORCID,Colella Simone6,Vansteenwegen Dieter8,Langheinrich Maximilian9,Carmona Emiliano9ORCID,Bachmann Martin9,Pato Miguel9ORCID,Fischer Sebastian9,Bracher Astrid10ORCID

Affiliation:

1. GFZ German Research Centre for Geosciences

2. Leibniz University Hannover, Institute of Soil Science

3. Remote Sensing Technology Institute

4. Commonwealth Scientific and Industrial Research Organisation (CSIRO)

5. HYGEOS

6. Istituto di Scienze Marine (ISMAR-CNR)

7. Istituto per il Rilevamento Elettromagnetico dell’Ambiente (IREA-CNR)

8. Flanders Marine Institute

9. German Aerospace Center (DLR)

10. Institute of Environmental Physics, University of Bremen

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.

Funder

Bundesministerium für Wirtschaft und Klimaschutz

Agenzia Spaziale Italiana

European Space Agency

Horizon 2020 Framework Programme

Publisher

Optica Publishing Group

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