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Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling

Malec, Sarah and Rogge, Derek and Heiden, Uta and Sánchez-Azofeifa, Arturo and Bachmann, Martin and Wegmann, Martin (2015) Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling. Remote Sensing, 7 (9), pp. 11776-11800. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs70911776 ISSN 2072-4292

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Abstract

Soil erosion can be linked to relative fractional cover of photosynthetic-active vegetation (PV), non-photosynthetic-active vegetation (NPV) and bare soil (BS), which can be integrated into erosion models as the cover-management C-factor. This study investigates the capability of EnMAP imagery to map fractional cover in a region near San Jose, Costa Rica, characterized by spatially extensive coffee plantations and grazing in a mountainous terrain. Simulated EnMAP imagery is based on airborne hyperspectral HyMap data. Fractional cover estimates are derived in an automated fashion by extracting image endmembers to be used with a Multiple End-member Spectral Mixture Analysis approach. The C-factor is calculated based on the fractional cover estimates determined independently for EnMAP and HyMap. Results demonstrate that with EnMAP imagery it is possible to extract quality endmember classes with important spectral features related to PV, NPV and soil, and be able to estimate relative cover fractions. This spectral information is critical to separate BS and NPV which greatly can impact the C-factor derivation. From a regional perspective, we can use EnMAP to provide good fractional cover estimates that can be integrated into soil erosion modeling.

Item URL in elib:https://elib.dlr.de/98398/
Document Type:Article
Title:Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Malec, Sarahsasoma (at) posteo.deUNSPECIFIED
Rogge, Derekderek.rogge (at) dlr.deUNSPECIFIED
Heiden, Utauta.heiden (at) dlr.deUNSPECIFIED
Sánchez-Azofeifa, ArturoUniversity of AlbertaUNSPECIFIED
Bachmann, Martinmartin.bachmann (at) dlr.deUNSPECIFIED
Wegmann, Martinmartin.wegmann (at) uni-wuerzburg.deUNSPECIFIED
Date:15 September 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:Yes
Volume:7
DOI :10.3390/rs70911776
Page Range:pp. 11776-11800
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:EnMAP; imaging spectroscopy; spectral mixture analysis; soil erosion modeling; Costa Rica
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)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Rogge, Derek
Deposited On:04 Nov 2015 10:07
Last Modified:08 Mar 2018 18:50

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