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Relationships between high resolution RapidEye based fPAR and MODIS vegetation indices in a heterogeneous agricultural region

Fritsch, Sebastian and Machwitz, Miriam and Conrad, Christopher and Dech, Stefan (2011) Relationships between high resolution RapidEye based fPAR and MODIS vegetation indices in a heterogeneous agricultural region. In: Proceedings of SPIE, 8174. SPIE Remote Sensing 2011, 19.-22. Sep. 2011, Prague, Czech Republic. ISBN 9780819488015.

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Official URL: http://spie.org/x648.html?product_id=898333


The Moderate Imaging Spectroradiometer (MODIS) provides operational products of the Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the fraction of photosynthetic active radiation (fPAR). FPAR can be used in productivity models, but agricultural applications depend on sub-pixel heterogeneity. Examples for heterogeneous areas are the irrigation systems of the inner Aral Sea Basin, where the 1 km fPAR product proved less suited. An alternative can be to upscale fPAR to the 250 m scale, but there are few studies evaluating this approach. In this study, the use of MODIS 250 m NDVI and EVI for this approach was investigated in an irrigation system in western Uzbekistan. The analysis was based on high resolution fPAR maps and a crop map for the growing season 2009, derived from ground measurements and multitemporal RapidEye data. The data was used to explore statistical relationships between RapidEye fPAR and MODIS NDVI/EVI with respect to spatial heterogeneity. The correlations varied between products (daily NDVI, 8-day NDVI, 16-day NDVI/EVI), with results suggesting that 8-day NDVI performed best. The analyses and the compiled fPAR maps show that, compared to 1 km MODIS fPAR, the 250 m scale is more homogeneous, allows for crop-specific analyses, and better captures the spatial patterns in the study region.

Item URL in elib:https://elib.dlr.de/71344/
Document Type:Conference or Workshop Item (Speech)
Title:Relationships between high resolution RapidEye based fPAR and MODIS vegetation indices in a heterogeneous agricultural region
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Fritsch, Sebastiansebastian.fritsch (at) uni-wuerzburg.deUNSPECIFIED
Conrad, Christopherchristopher.conrad (at) uni-wuerzburg.deUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Journal or Publication Title:Proceedings of SPIE
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
EditorsEmailEditor's ORCID iD
Series Name:Remote Sensing for Agriculture, Ecosystems, and Hydrology
Keywords:Remote Sensing, MODIS, Rapid Eye, Upscaling, Enhanced Vegetation Index (EVI), Central Asia, subpixel heterogenity
Event Title:SPIE Remote Sensing 2011
Event Location:Prague, Czech Republic
Event Type:international Conference
Event Dates:19.-22. Sep. 2011
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 Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Kübert, Carina
Deposited On:02 Nov 2011 10:48
Last Modified:02 Nov 2011 10:48

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