elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Kontakt | English
Schriftgröße: [-] Text [+]

A new validation approach to assess the quality of modelled agricultural biomass potentials using BETHY/DLR

Tum, Markus und Niklaus, Markus und Günther, Kurt P. und Kappas, Martin (2010) A new validation approach to assess the quality of modelled agricultural biomass potentials using BETHY/DLR. 24th International Conference on Informatics for Environmental Protection, 06. - 08. Oct 2010, Cologne, Bonn, Germany.

[img] MS Word
846kB

Kurzfassung

A new validation approach is presented to assess the quality of modeled agricultural biomass potentials with statisti-cal data on high resolution. First investigations in Germany and Austria show coefficients of determination (r²) of up to 0.79 on district level. Our modeled net primary productivity is computed with the dynamic biomass model BETHY/DLR. Primarily the photosynthetic rate of vegetation types is computed with time steps of one hour and cur-rently with a spatial resolution of about 1km x 1km. Included models compute the water balance and radiative energy transfer between atmosphere, vegetation and soil. The model is driven by meteorological data provided by the Euro-pean Center for Medium Range Weather Forecast (ECMWF), remote sensing data derived through SPOT-VEGETATION and soil type information by the Food and Agriculture Organisation (FAO). The model output (gross primary productivity (GPP)) is calculated daily. Net primary productivity (NPP) is determined by subtracting the cumulative plant maintenance respiration from GPP. In order to validate the modeled NPP, data of crop yield estima-tions derived from national statistics are used to calculate above ground biomass by using conversion factors about corn to straw relations. Furthermore conversion factors about shoot to root relations are used to determine total bio-mass. Finally the carbon content of dry matter is estimated. With this method coefficients of determination (r²) of up to 0.67 combined with a slope of 0.83 are found for Germany. For Austrian NUTS-3 units slightly higher coefficients of determination are found (0.74) combined with a slope of 1.08. The results show that modelling NPP using the process model BETHY/DLR and remote sensing data and meteorological data as input delivers reliable estimates of above ground biomass when common agricultural conversion factors are taking into account.

Dokumentart:Konferenzbeitrag (Vortrag, Paper)
Titel:A new validation approach to assess the quality of modelled agricultural biomass potentials using BETHY/DLR
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Tum, Markusmarkus.tum@dlr.de
Niklaus, Markusmarkus.niklaus@dlr.de
Günther, Kurt P.kurt.guenther@dlr.de
Kappas, Martinmkappas@uni-goettingen.de
Datum:2010
Referierte Publikation:Nein
Seitenbereich:Seiten 217-223
Status:veröffentlicht
Stichwörter:biomass potential, modelling, remote sensing, national statistics
Veranstaltungstitel:24th International Conference on Informatics for Environmental Protection
Veranstaltungsort:Cologne, Bonn, Germany
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:06. - 08. Oct 2010
Veranstalter :Universität Bonn in cooperation with Gesellschaft für Informatik e.v.
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 Datenprodukte für Klima- und Atmosphärenanwendungen (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Landoberfläche
Hinterlegt von: Markus Tum
Hinterlegt am:25 Nov 2010 20:02
Letzte Änderung:01 Mai 2013 21:33

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Copyright © 2008-2013 Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.