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

Tum, Markus and Niklaus, Markus and Günther, Kurt P. and 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.

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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.

Item URL in elib:https://elib.dlr.de/66291/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:A new validation approach to assess the quality of modelled agricultural biomass potentials using BETHY/DLR
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Tum, Markusmarkus.tum (at) dlr.deUNSPECIFIED
Niklaus, Markusmarkus.niklaus (at) dlr.deUNSPECIFIED
Günther, Kurt P.kurt.guenther (at) dlr.deUNSPECIFIED
Kappas, Martinmkappas (at) uni-goettingen.deUNSPECIFIED
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 217-223
Keywords:biomass potential, modelling, remote sensing, national statistics
Event Title:24th International Conference on Informatics for Environmental Protection
Event Location:Cologne, Bonn, Germany
Event Type:international Conference
Event Dates:06. - 08. Oct 2010
Organizer:Universität Bonn in cooperation with Gesellschaft für Informatik e.v.
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Datenprodukte für Klima- und Atmosphärenanwendungen (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Tum, Markus
Deposited On:25 Nov 2010 20:02
Last Modified:31 Jul 2019 19:29

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