DocumentCode
2434244
Title
Investigation of dynamics of some biophysical parameters of Norway spruce stands by MODIS data
Author
Dimitrov, Petar
Author_Institution
Remote Sensing of the Earth Dept., BAS, Sofia, Bulgaria
fYear
2009
fDate
11-13 June 2009
Firstpage
392
Lastpage
396
Abstract
The aim of this paper is to test an approach for analysis of inter-annual vegetation dynamics on the basis of FPAR and LAI data from MODIS. Central moving average filter and linear interpolation are both used for smoothing the initial time series. Time profiles of the biophysical parameters are drawn by the filtered data and they reflect vegetation seasonal development for the period 2000-2008. The inter-annual comparison of FPAR and LAI rely on dates when certain threshold values are reached and the period in which their values are above this thresholds. The standard deviation of the dates of reaching thresholds for the two biophysical parameters in this period is about ten days. The duration of the period in which FPAR and LAI are above the corresponding thresholds also varies in the same range. These variations do not differ from the usual inter-annual dynamics of the spruce communities.
Keywords
geophysical signal processing; interpolation; moving average processes; remote sensing; time series; vegetation; AD 2000 to 2008; MODIS FPAR data; MODIS LAI data; MODIS data; Norway spruce stand biophysical parameters; Norway spruce stand dynamics; central moving average filter; fraction of photosynthetically active radiation; initial time series smoothing; interannual vegetation dynamics; leaf area index; linear interpolation; vegetation seasonal development; Atmospheric measurements; Clouds; Earth; MODIS; Nonlinear filters; Remote monitoring; Remote sensing; Satellites; Testing; Vegetation; FPAR; LAI; MODIS; spruce forest; vegetation dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Advances in Space Technologies, 2009. RAST '09. 4th International Conference on
Conference_Location
Istanbul
Print_ISBN
978-1-4244-3627-9
Electronic_ISBN
978-1-4244-3628-6
Type
conf
DOI
10.1109/RAST.2009.5158232
Filename
5158232
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