DocumentCode :
3085288
Title :
Comparison of two remote sensing time series analysis methods for monitoring forest decline
Author :
Lambert, J. ; Jacquin, A. ; Denux, J.-P. ; Chéret, V.
Author_Institution :
Inst. Nat. Polytech. de Toulouse, Univ. de Toulouse, Toulouse, France
fYear :
2011
fDate :
12-14 July 2011
Firstpage :
93
Lastpage :
96
Abstract :
In Europe, the 2003 summer heat wave damaged forested areas. The purpose of this study is to compare two methods to analyse time series of NDVI images for monitoring forest decline. The first method is based on phenological indicator linked to spring vegetation activity, and on the analysis of its trend. The second method (BFAST) allows extracting the trend by decomposition of NDVI time series into trend, seasonal and remainder components. The two approaches show similar results for trends estimates. The main advantage of BFAST is its capability to detect breakpoints in the linear trend which highlights the impact of the exceptional climatic conditions in 2003 on forest stands development.
Keywords :
forestry; geophysical techniques; phenology; time series; vegetation mapping; AD 2003; BFAST method; NDVI images; NDVI time series; forest decline monitoring; forested areas; phenological indicator; remote sensing time series analysis; spring vegetation activity; summer heat wave; Heating; Monitoring; Remote sensing; Springs; Time series analysis; Vegetation; Vegetation mapping; BFAST; NDVI; forest decline; phenology; time series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 6th International Workshop on the
Conference_Location :
Trento
Print_ISBN :
978-1-4577-1202-9
Type :
conf
DOI :
10.1109/Multi-Temp.2011.6005056
Filename :
6005056
Link To Document :
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