EnPT: An Alternative Pre-Processing Chain for Hyperspectral EnMAP Dat

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Daniel Scheffler
  • Maximilian Brell
  • Niklas Bohn
  • Leonardo Alvarado
  • Mariana A. Soppa
  • Karl Segl
  • Astrid Bracher
  • Sabine Chabrillat

Organisationseinheiten

Externe Organisationen

  • Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum (GFZ)
  • Alfred-Wegener-Institut (AWI) Helmholtz-Zentrum für Polar- und Meeresforschung
  • Universität Bremen
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksIGARSS 2023
Untertitel2023 IEEE International Geoscience and Remote Sensing Symposium
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten7416-7418
Seitenumfang3
ISBN (elektronisch)9798350320107
ISBN (Print)9798350331745
PublikationsstatusVeröffentlicht - 2023
Veranstaltung2023 IEEE International Geoscience and Remote Sensing Symposium - Pasadena, USA / Vereinigte Staaten
Dauer: 16 Juli 202321 Juli 2023

Publikationsreihe

NameIGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Abstract

The hyperspectral EnMAP (Environmental Mapping and Analysis Program) satellite was successfully launched in April 2022, passed its commissioning phase, and entered the nominal phase of operational data acquisition in November 2022. Since then, users may submit data acquisition proposals and download the data in three processing levels: Level-1B (radiometrically-corrected and spectrally-characterized top-of-atmosphere (TOA) radiance), Level-1C (geometrically-corrected L1B data), and Level-2A (atmospherically-corrected Level-1C data, i.e., bottom-of-atmosphere (BOA) reflectance). The official product generation is usually done by the ground segment processing chain. Alternatively, the EnMAP processing tool (EnPT) provides a highly customizable free and open-source pre-processing chain enabling additional functionalities and options to fulfill individual user requirements and quality expectations. Here, we provide an overview of the implemented pre-processing chain and its modular design with a specific focus on the additional functionalities of EnPT to obtain highly accurate and customizable hyperspectral EnMAP Level-2A data.

ASJC Scopus Sachgebiete

Zitieren

EnPT: An Alternative Pre-Processing Chain for Hyperspectral EnMAP Dat. / Scheffler, Daniel; Brell, Maximilian; Bohn, Niklas et al.
IGARSS 2023 : 2023 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., 2023. S. 7416-7418 (IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Scheffler, D, Brell, M, Bohn, N, Alvarado, L, Soppa, MA, Segl, K, Bracher, A & Chabrillat, S 2023, EnPT: An Alternative Pre-Processing Chain for Hyperspectral EnMAP Dat. in IGARSS 2023 : 2023 IEEE International Geoscience and Remote Sensing Symposium. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Institute of Electrical and Electronics Engineers Inc., S. 7416-7418, 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, USA / Vereinigte Staaten, 16 Juli 2023. https://doi.org/10.1109/IGARSS52108.2023.10281805
Scheffler, D., Brell, M., Bohn, N., Alvarado, L., Soppa, M. A., Segl, K., Bracher, A., & Chabrillat, S. (2023). EnPT: An Alternative Pre-Processing Chain for Hyperspectral EnMAP Dat. In IGARSS 2023 : 2023 IEEE International Geoscience and Remote Sensing Symposium (S. 7416-7418). (IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS52108.2023.10281805
Scheffler D, Brell M, Bohn N, Alvarado L, Soppa MA, Segl K et al. EnPT: An Alternative Pre-Processing Chain for Hyperspectral EnMAP Dat. in IGARSS 2023 : 2023 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc. 2023. S. 7416-7418. (IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium). doi: 10.1109/IGARSS52108.2023.10281805
Scheffler, Daniel ; Brell, Maximilian ; Bohn, Niklas et al. / EnPT : An Alternative Pre-Processing Chain for Hyperspectral EnMAP Dat. IGARSS 2023 : 2023 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., 2023. S. 7416-7418 (IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium).
Download
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abstract = "The hyperspectral EnMAP (Environmental Mapping and Analysis Program) satellite was successfully launched in April 2022, passed its commissioning phase, and entered the nominal phase of operational data acquisition in November 2022. Since then, users may submit data acquisition proposals and download the data in three processing levels: Level-1B (radiometrically-corrected and spectrally-characterized top-of-atmosphere (TOA) radiance), Level-1C (geometrically-corrected L1B data), and Level-2A (atmospherically-corrected Level-1C data, i.e., bottom-of-atmosphere (BOA) reflectance). The official product generation is usually done by the ground segment processing chain. Alternatively, the EnMAP processing tool (EnPT) provides a highly customizable free and open-source pre-processing chain enabling additional functionalities and options to fulfill individual user requirements and quality expectations. Here, we provide an overview of the implemented pre-processing chain and its modular design with a specific focus on the additional functionalities of EnPT to obtain highly accurate and customizable hyperspectral EnMAP Level-2A data.",
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T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium

AU - Scheffler, Daniel

AU - Brell, Maximilian

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AU - Alvarado, Leonardo

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N2 - The hyperspectral EnMAP (Environmental Mapping and Analysis Program) satellite was successfully launched in April 2022, passed its commissioning phase, and entered the nominal phase of operational data acquisition in November 2022. Since then, users may submit data acquisition proposals and download the data in three processing levels: Level-1B (radiometrically-corrected and spectrally-characterized top-of-atmosphere (TOA) radiance), Level-1C (geometrically-corrected L1B data), and Level-2A (atmospherically-corrected Level-1C data, i.e., bottom-of-atmosphere (BOA) reflectance). The official product generation is usually done by the ground segment processing chain. Alternatively, the EnMAP processing tool (EnPT) provides a highly customizable free and open-source pre-processing chain enabling additional functionalities and options to fulfill individual user requirements and quality expectations. Here, we provide an overview of the implemented pre-processing chain and its modular design with a specific focus on the additional functionalities of EnPT to obtain highly accurate and customizable hyperspectral EnMAP Level-2A data.

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