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Validating modelled NPP using statistical yield data

Tum, Markus and Günther, Kurt P (2011) Validating modelled NPP using statistical yield data. Biomass & Bioenergy, 35, pp. 4665-4674. Elsevier. doi: 10.1016/j.biombioe.2011.09.015. ISSN 0961-9534.

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The German Remote Sensing Data Center operates the Biosphere Energy Transfer Hydrology Model, a process model that estimates the NPP of agricultural areas. The model is driven by remote sensing data and meteorological data. Remotely sensed datasets including a time series of the leaf area index, which describes vegetation condition, and a land cover classification, which provides information about land use, are needed. Currently leaf area indices and land cover data derived from the sensor VEGETATION are used. Both datasets have spatial resolutions of about 1km2 and are freely available for the area of investigation (Germany and Austria). The meteorological input parameters are obtained from the ECMWF, with a spatial resolution of about 0.25° and a temporal resolution up to four times daily. The output of the model, the GPP, is calculated at daily resolution. By subtracting the cumulative plant maintenance and growth respiration, the NPP is then determined. In order to validate the modelled NPP, crop yield estimates derived from the national statistics of Germany and Austria are used. After estimating above ground biomass using plant-specific above- to below-ground ratios, conversion factors are applied to estimate total biomass. Finally the carbon content of dry matter is estimated. To correlate model results with these statistical data, the modelled data are aggregated to NPP per administrative district. The results show that a process model using remote sensing data as input can deliver reliable estimates of agricultural biomass potential which are highly correlated with statistically derived estimates of actual biomass produced.

Item URL in elib:https://elib.dlr.de/71004/
Document Type:Article
Title:Validating modelled NPP using statistical yield data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Tum, Markusmarkus.tum (at) dlr.deUNSPECIFIED
Günther, Kurt Pkurt.guenther (at) dlr.deUNSPECIFIED
Journal or Publication Title:Biomass & Bioenergy
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1016/j.biombioe.2011.09.015
Page Range:pp. 4665-4674
Keywords:validation, modelling, remote sensing, national statistics, NPP
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
Deposited By: Tum, Markus
Deposited On:21 Nov 2011 14:02
Last Modified:06 Sep 2019 15:21

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