DocumentCode :
3297626
Title :
Dynamics of MODIS Time Series for Ecological Applications in Southern Africa
Author :
Colditz, Rene R. ; Gessner, Ursula ; Conrad, Christopher ; van Zyl, Dawie ; Malherbe, Johan ; Nevvby, T. ; Landmann, Tobias ; Schmidt, Michael ; Dech, Stefan
Author_Institution :
German Aerosp. Center, Wessling
fYear :
2007
fDate :
18-20 July 2007
Firstpage :
1
Lastpage :
6
Abstract :
Intra and inter-annual vegetation dynamics indicate important ecological processes. The first are the basis of phenological analysis and describe the vegetation state and seasonal development. Inter-annual observations can be used to monitor multi-year modification and conversion processes of the land surface. Time series of remotely sensed parameters are important to understand these annual and inter-annual vegetation dynamics. Remotely sensed parameters such as vegetation indices, describing the activity of chlorophyll active vegetation, are available on a daily basis. This study employs annual time series of the Enhanced Vegetation Index (EVI) of the MODIS instrument for South Africa. Four phenologically described vegetation types are distinguished, including non-modal, uni-modal with maximum in summer or winter and bimodal cycles. Temporal cross-correlation is used to analyze phenological shifts of the EVI for consecutive years. Furthermore, EVI time series are related to high spatial resolution precipitation rate estimates. Considerable shifts in EVI phenology are shown for the northern continental provinces Limpopo, North West Province, and northern Mpumalanga and partly for Kwazulu Natal on the eastern coast. These phenological shifts in time are spatially related to high biomass land cover units such as forested land. Notably small shifts are identified for winter rain environments in the Cape floristic region indicating a higher stability of the vegetation development. A near constant temporal lag of one to two months between precipitation and EVI for six years indicates the functionality of the natural ecosystems in South Africa and the dependence on rain onset for vegetation green-up.
Keywords :
ecology; phenology; rain; time series; vegetation mapping; Cape floristic region; Enhanced Vegetation Index; Kwazulu Natal; Limpopo; MODIS time series; North West Province; South Africa; annual vegetation dynamics; atmospheric precipitation rate estimates; bimodal cycle; biomass land cover units; chlorophyll active vegetation; ecological applications; interannual observations; land surface conversion process; nonmodal cycle; northern Mpumalanga; phenological analysis; remotely sensed parameters; seasonal development; temporal cross-correlation; unimodal cycle; winter rain environments; Africa; Biomass; Instruments; Land surface; MODIS; Rain; Remote monitoring; Spatial resolution; Stability; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Analysis of Multi-temporal Remote Sensing Images, 2007. MultiTemp 2007. International Workshop on the
Conference_Location :
Leuven
Print_ISBN :
1-4244-0846-6
Electronic_ISBN :
1-4244-0846-6
Type :
conf
DOI :
10.1109/MULTITEMP.2007.4293069
Filename :
4293069
Link To Document :
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