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

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

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

Research Organisations

External Research Organisations

  • Helmholtz Centre Potsdam - German Research Centre for Geosciences (GFZ)
  • Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research
  • University of Bremen
View graph of relations

Details

Original languageEnglish
Title of host publicationIGARSS 2023
Subtitle of host publication2023 IEEE International Geoscience and Remote Sensing Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7416-7418
Number of pages3
ISBN (electronic)9798350320107
ISBN (print)9798350331745
Publication statusPublished - 2023
Event2023 IEEE International Geoscience and Remote Sensing Symposium - Pasadena, United States
Duration: 16 Jul 202321 Jul 2023

Publication series

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.

Keywords

    EnMAP, EnMAP-Box, EnPT, FOSS, hyperspectral, Level-2, pre-processing

ASJC Scopus subject areas

Cite this

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. p. 7416-7418 (IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer 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., pp. 7416-7418, 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, United States, 16 Jul 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 (pp. 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. p. 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. pp. 7416-7418 (IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium).
Download
@inproceedings{7a133293284843caaa63f86d53ae290d,
title = "EnPT: An Alternative Pre-Processing Chain for Hyperspectral EnMAP Dat",
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.",
keywords = "EnMAP, EnMAP-Box, EnPT, FOSS, hyperspectral, Level-2, pre-processing",
author = "Daniel Scheffler and Maximilian Brell and Niklas Bohn and Leonardo Alvarado and Soppa, {Mariana A.} and Karl Segl and Astrid Bracher and Sabine Chabrillat",
note = "Funding Information: This work was funded within the context of the EnMAP project supported by the DLR Space Agency with funds from the German Federal Ministry of Economic Affairs and Climate Action (on the basis of a decision by the German Bundestag: 50 EE 1529, 50 EE 1620, and 50 EE 1923) and contributions from DLR, GFZ and OHB System AG.; 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 ; Conference date: 16-07-2023 Through 21-07-2023",
year = "2023",
doi = "10.1109/IGARSS52108.2023.10281805",
language = "English",
isbn = "9798350331745",
series = "IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "7416--7418",
booktitle = "IGARSS 2023",
address = "United States",

}

Download

TY - GEN

T1 - EnPT

T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium

AU - Scheffler, Daniel

AU - Brell, Maximilian

AU - Bohn, Niklas

AU - Alvarado, Leonardo

AU - Soppa, Mariana A.

AU - Segl, Karl

AU - Bracher, Astrid

AU - Chabrillat, Sabine

N1 - Funding Information: This work was funded within the context of the EnMAP project supported by the DLR Space Agency with funds from the German Federal Ministry of Economic Affairs and Climate Action (on the basis of a decision by the German Bundestag: 50 EE 1529, 50 EE 1620, and 50 EE 1923) and contributions from DLR, GFZ and OHB System AG.

PY - 2023

Y1 - 2023

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.

AB - 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.

KW - EnMAP

KW - EnMAP-Box

KW - EnPT

KW - FOSS

KW - hyperspectral

KW - Level-2

KW - pre-processing

UR - http://www.scopus.com/inward/record.url?scp=85178343682&partnerID=8YFLogxK

U2 - 10.1109/IGARSS52108.2023.10281805

DO - 10.1109/IGARSS52108.2023.10281805

M3 - Conference contribution

AN - SCOPUS:85178343682

SN - 9798350331745

T3 - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

SP - 7416

EP - 7418

BT - IGARSS 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 16 July 2023 through 21 July 2023

ER -