Detecting clear-cuts and decreases in forest vitality using MODIS NDVI time seriesReport as inadecuate




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1 DYNAFOR - Dynamiques Forestières dans l-Espace Rural 2 WUR - Wageningen University and Research Centre Wageningen

Abstract : This paper examines the potential of MODIS-NDVI time series for detecting clear-cuts in a coniferous forest stand in the south of France. The proposed approach forms part of a survey monitoring the status of forest health and evaluating the forest decline phenomena observed over the last few decades. One of the prerequisites for this survey was that a rapid and easily reproducible method had to be developed that differentiates between forest clear-cuts and changes in forest health induced by environmental factors such as summer droughts. The proposed approach is based on analysis of the breakpoints detected within NDVI time series, using the -Break for Additive Seasonal and Trend- BFAST algorithm. To overcome difficulties detecting small areas on the study site, we chose a probabilistic approach based on the use of a conditional inference tree. For model calibration, clear-cut reference data were produced at MODIS resolution 250 m. According to the magnitude of the detected breakpoints, probability classes for the presence of clear-cuts were defined, from greater than 90% to less than 3% probability of a clear-cut. One of the advantages of the probabilistic model is that it allows end users to choose an acceptable level of uncertainty depending on the application. In addition, the use of BFAST allows events to be dated, thus making it possible to perform a retrospective analysis of decreases in forest vitality in the study area.

Keywords : Time series MODIS NDVI BFAST Forest decline Clear-cut detection Global change Remote sensing





Author: Jonas Lambert - Jean-Philippe Denux - Jan Verbesselt - Gérard Balent - Véronique Cheret -

Source: https://hal.archives-ouvertes.fr/



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