HR: 1340h
AN: B43B-0264    [Abstracts]
TI: Using satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenology
AU: * Doktor, D
EM: d.doktor@imperial.ac.uk
AF: Imperial College London, Prince Consort Road Royal School of Mines Building DEST; RRAG, London, SW7 2BP United Kingdom
AU: Badeck, F W
EM: badeck@pik-potsdam.de
AF: Potsdam Institute for Climate Impact Research, Am Telegrafenberg 2 A51 / 23, Potsdam, 14412 Germany
AU: Bondeau, A
EM: Alberte.Bondeau@pik-potsdam.de
AF: Potsdam Institute for Climate Impact Research, Am Telegrafenberg 2 C4 / 38, Potsdam, 14412 Germany
AU: Koslowsky, D
EM: kosi@mepc03.met.fu-berlin.de
AF: Free University of Berlin Institute of Meteorology Section of Remote Sensing, Carl-Heinrich-Becker-Weg 6-10, Berlin, 12165 Germany
AU: Schaber, J
EM: schaber@molgen.mpg.de
AF: Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, Berlin, 14196 Germany
AB: The spatio-temporal patterns of Land Surface Phenology in Germany were analysed. We firstly compared green-up days derived from satellite images with the number of budburst dates for different tree species detected with phenological ground observations. Secondly, the relationship between the evolution of daily mean temperatures and of observed budburst dates during springtime was explored. We analysed both remote sensing data of NOAA satellites (the NDVI green-up signal of AVHRR images from 1989-1998) and the phenological ground observational network of the German Weather Service (DWD) which provided data from 1951-2000. The satellite pixels were classified on basis of a land use map for Europe at 1 km resolution (CORINE). Intra-annual geographical shifts of regions with above average temperature coincide with the spatial shift of sequencing of early onset of phenological phases throughout the year. Time-Geographical methods are used to display this result. The analysis of spatio-temporal patterns of the pace of phenological development remotely sensed and detected by ground observations reveals differences in the objects studied with these two techniques. The comparison to weather records shows consistent changes in the spatio-temporal patterns in response to intermittent cold spells as compared to years with a continuous temperature rise.
DE: 0400 BIOGEOSCIENCES
DE: 0426 Biosphere/atmosphere interactions (0315)
DE: 0430 Computational methods and data processing
DE: 0480 Remote sensing
SC: Biogeosciences [B]
MN: Fall Meeting 2005