Gerighausen, Heike und Borg, Erik (2007) Derivation of synthetic endmembers for linear unmixing to improve parameter estimation for soil erosion modelling in agricultural ecosystems. In: Proc. 5th EARSeL SIG IS Workshop, Seiten 1-11. 5th EARSeL SIG IS Workshop "Imaging Spectroscopy: Innovation in Environmental Research", 2007-05-23 - 2007-05-25, Bruges, Belgium.
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Kurzfassung
Physically based erosion models have been widely accepted in soil erosion risk assessment in the past years but their application is still restricted due to a large disparity between required model input parameters and data availability. Hyperspectral imaging may offer an alternative to solve that problem providing high spatial and spectral information about earth surface materials. A major problem in image interpretation is the heterogeneous composition of each individual pixel, in the case of agricultural ecosystems a mixture of soil and vegetation signal, but also moisture conditions and illumination have a strong influence. This issue has been addressed with unmixing techniques (vii) which take individual pixel components, endmembers, into account. In this paper, we present a new algorithm which allows the derivation of synthetic spectral endmembers (SY-SEM) of soil. A systematic analysis of lab spectra from more than 100 soil samples measured at different soil moisture and illumination angles revealed stable features independent of soil moisture and illumination in SWIR I and II. Results were confirmed by an analysis of corresponding field spectra. Starting from these stable wavelength regions absolute reflectance values of all spectra were analysed adopting a linear regression analysis. Results showed coefficients of determination (R²) generally above 0.8, in the range of 1000 to 2500nm above 0.95. Based on these results, SY-SEM are derived from self-generated look-up tables containing regression parameters, and atmospherically corrected image data. In contrast to existing approaches, SY-SEM procedure is computed pixelwise over a pre-classified image data set.
elib-URL des Eintrags: | https://elib.dlr.de/53958/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag, Paper) | ||||||||||||
Titel: | Derivation of synthetic endmembers for linear unmixing to improve parameter estimation for soil erosion modelling in agricultural ecosystems. | ||||||||||||
Autoren: |
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Datum: | 2007 | ||||||||||||
Erschienen in: | Proc. 5th EARSeL SIG IS Workshop | ||||||||||||
Referierte Publikation: | Nein | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Nein | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
Seitenbereich: | Seiten 1-11 | ||||||||||||
Herausgeber: |
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Status: | veröffentlicht | ||||||||||||
Stichwörter: | Hyperspectral, Unmixing, Endmember, Soil erosion, DEMMIN | ||||||||||||
Veranstaltungstitel: | 5th EARSeL SIG IS Workshop "Imaging Spectroscopy: Innovation in Environmental Research" | ||||||||||||
Veranstaltungsort: | Bruges, Belgium | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 23 Mai 2007 | ||||||||||||
Veranstaltungsende: | 25 Mai 2007 | ||||||||||||
Veranstalter : | EARSeL, VITO, Ghent University & The Belgian Science Policy Office | ||||||||||||
HGF - Forschungsbereich: | Verkehr und Weltraum (alt) | ||||||||||||
HGF - Programm: | Weltraum (alt) | ||||||||||||
HGF - Programmthema: | W EO - Erdbeobachtung | ||||||||||||
DLR - Schwerpunkt: | Weltraum | ||||||||||||
DLR - Forschungsgebiet: | W EO - Erdbeobachtung | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | W - Vorhaben Spektrometrische Verfahren und Konzepte der Fernerkundung (alt) | ||||||||||||
Standort: | Neustrelitz | ||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Nationales Bodensegment Deutsches Fernerkundungsdatenzentrum | ||||||||||||
Hinterlegt von: | Gerighausen, Heike | ||||||||||||
Hinterlegt am: | 11 Jun 2008 | ||||||||||||
Letzte Änderung: | 24 Apr 2024 19:17 |
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