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Deriving phenological layers for Germany from remote sensing data: spatio-temporal analysis ans validity

Kübert, Carina and Conrad, Christopher and Klein, Doris and Dech, Stefan (2015) Deriving phenological layers for Germany from remote sensing data: spatio-temporal analysis ans validity. Phenology 2015 - Challenges in Phenology, 05.-08.10.2015, Kusadasi, Türkei.

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Official URL: http://nbn-resolving.de/urn:nbn:de:101:1-201509301449


Information on the timing of phenological events and their changes are critical parameters for quantifying the impact of climate alterations and of major relevance for terrestrial ecosystem models. Spatially consistent phenological information can be derived from remote sensing based vegetation indices by calculating phenological metrics such as Start of Season (SOS), End of Season and Length of Season (LOS). Different approaches exist for preprocessing of time series from medium resolution satellite data as well as for derivation of phenological metrics, but these methods often lack any biophysical or ecological meaning and qualitative comparisons between different methods are rare. This study aims at (1) deriving SOS as an indicator for the onset of spring in Germany, (2) comparing the phenological layers with phenological ground observations and the global MODIS “Land Surface Dynamics” product and (3) developing value added phenological layers from the data to (4) characterize spatiotemporal variations.

Item URL in elib:https://elib.dlr.de/103187/
Document Type:Conference or Workshop Item (Speech)
Title:Deriving phenological layers for Germany from remote sensing data: spatio-temporal analysis ans validity
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Kübert, Carinacarina.kuebert (at) uni-wuerzburg.deUNSPECIFIED
Conrad, Christopherchristopher.conrad (at) uni-wuerzburg.deUNSPECIFIED
Klein, Dorisdoris.klein (at) dlr.deUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:land surface phenology, MODIS, time series, phenological layers, spatio-temporal analysis
Event Title:Phenology 2015 - Challenges in Phenology
Event Location:Kusadasi, Türkei
Event Type:international Conference
Event Dates:05.-08.10.2015
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
German Remote Sensing Data Center > Leitungsbereich DFD
Deposited By: Wöhrl, Monika
Deposited On:09 Mar 2016 13:38
Last Modified:10 May 2016 23:45

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