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