Paper Info
Title
Land Surface Phenology from MODIS data in Germany
Abstract
Changes in the timing of phenological events are a critical parameter for quantifying the impact of climate alterations on vegetation development that in reverse alters patterns of biosphere-atmosphere interactions. By the means of remote sensing, numerous approaches have been developed for deriving Land Surface Phenology. This study aims at identifying the best combination of data quality integration, filtering and threshold choice for the Start of Season (SOS) in Germany using MODIS data. The resulting remote sensing based SOS is related to phenological ground observations. For the year 2010, SOS data was produced by 5 different methods and the best method was identified by the comparison of the SOS dates to ground observations of the leaf unfolding of Broad-Leaved forest and beginning of turning green for Pastures, respectively. The results show that the impact of time series data quality screening, filter choice and threshold setting differs among the selected land cover classes.
Year
DOI
Venue
2013
10.1109/Multi-Temp.2013.6866015
MultiTemp
Keywords
Field
DocType
geophysical techniques,land cover,remote sensing,vegetation,ad 2010,broad-leaved forest,germany,modis data,sos data,sos dates,start-of-season,biosphere-atmosphere interaction patterns,climate alterations impact,data quality filtering,data quality integration,filter choice,land cover classes,land surface phenology,leaf unfolding observations,phenological events,phenological ground observations,threshold setting,time series data quality screening,vegetation development,corine land cover,modis,meteorology,time series analysis,reliability
Time series,Vegetation,Data quality,Remote sensing,Filter (signal processing),Environmental science,Critical parameter,Land cover,Phenology
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
4
Name
Order
Citations
PageRank
Kubert, C.100.34
Christopher Conrad212316.19
Klein, D.301.69
S. Dech417128.32