Title :
(Non-)linear phenological trends in an ecosystem with multiple growing seasons derived from AVHRR-NDVI time series
Author :
Seiler, Ralf ; Gloaguen, Richard
Author_Institution :
Tech. Univ. Dresden, Dresden, Germany
Abstract :
According to the change-point analysis, 800 (= 61.6%) GIMMS series show at least 1 significant change in their annually integrated NDVI. Among these series 121 show more than 1 change. If a series encloses a change, its most significant one is linked to a shift of 5.5% of its 24-year mean on average. This underpins the need for including such non-linear aspects in the framework of trend analysis for vegetation dynamics in the Inland Delta. The spatial distribution of changes illustrates Fig. 2. About 28% of the changes appear from 1992/93 to 1993/94 and about 15% from 1986/87 and 1987/88 each. While the shifts from 1992/93 show up at the southern part, the earlier shits are located in the central and northern part of the Inland Delta.
Keywords :
ecology; phenology; time series; vegetation mapping; AVHRR-NDVI time series; GIMMS series; Inland Delta; annually integrated NDVI; change-point analysis; ecosystem; multiple growing seasons; nonlinear phenological trends; spatial distribution; trend analysis; vegetation dynamics;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352605