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Estimating the Influence of Spectral and Radiometric Calibration Uncertainties on EnMAP Data Products—Examples for Ground Reflectance Retrieval and Vegetation Indices

Bachmann, Martin and Makarau, Aliaksei and Segl, Karl and Richter, Rudolf (2015) Estimating the Influence of Spectral and Radiometric Calibration Uncertainties on EnMAP Data Products—Examples for Ground Reflectance Retrieval and Vegetation Indices. Remote Sensing, 7 (8), pp. 10689-10714. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs70810689 ISSN 2072-4292

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Official URL: http://www.mdpi.com/2072-4292/7/8/10689

Abstract

As part of the EnMAP preparation activities this study aims at estimating the uncertainty in the EnMAP L2A ground reflectance product using the simulated scene of Barrax, Spain. This dataset is generated using the EnMAP End-to-End Simulation tool, providing a realistic scene for a well-known test area. Focus is set on the influence of the expected radiometric calibration stability and the spectral calibration stability. Using a Monte-Carlo approach for uncertainty analysis, a larger number of realisations for the radiometric and spectral calibration are generated. Next, the ATCOR atmospheric correction is conducted for the test scene for each realisation. The subsequent analysis of the generated ground reflectance products is carried out independently for the radiometric and the spectral case. Findings are that the uncertainty in the L2A product is wavelength-dependent, and, due to the coupling with the estimation of atmospheric parameters, also spatially variable over the scene. To further illustrate the impact on subsequent data analysis, the influence on two vegetation indices is briefly analysed. Results show that the radiometric and spectral stability both have a high impact on the uncertainty of the narrow-band Photochemical Reflectance Index (PRI), and also the broad-band Normalized Difference Vegetation Index (NDVI) is affected.

Item URL in elib:https://elib.dlr.de/97980/
Document Type:Article
Title:Estimating the Influence of Spectral and Radiometric Calibration Uncertainties on EnMAP Data Products—Examples for Ground Reflectance Retrieval and Vegetation Indices
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bachmann, Martinmartin.bachmann (at) dlr.deUNSPECIFIED
Makarau, Aliakseialiaksei.makarau (at) dlr.deUNSPECIFIED
Segl, Karlsegl (at) gfz-potsdam.deUNSPECIFIED
Richter, Rudolfrudolf.richter (at) dlr.deUNSPECIFIED
Date:19 August 2015
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:7
DOI :10.3390/rs70810689
Page Range:pp. 10689-10714
Editors:
EditorsEmail
Foerster, SaskiaGFZ Potsdam, Germany
Carrere, VéroniqueUniversity of Nantes, France
Rast, MichaelESA-ESRIN, Frascati, Italy
Staenz, KarlUniversity of Lethbridge, Canada
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue "The Environmental Mapping and Analysis Program (EnMAP) Mission: Preparing for Its Scientific Exploitation"
ISSN:2072-4292
Status:Published
Keywords:EnMAP; imaging spectroscopy; hyperspectral; uncertainty; radiometric stability; spectral stability; atmospheric correction
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old), R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Makarau, Aliaksei
Deposited On:07 Sep 2015 16:26
Last Modified:21 Sep 2019 05:05

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