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Detecting clear-cuts and decreases in forest vitality using MODIS NDVI time series

Lambert, Jonas and Denux, Jean-Philippe and Verbesselt, Jan and Balent, Gérard and Cheret, Véronique Detecting clear-cuts and decreases in forest vitality using MODIS NDVI time series. (2015) Remote Sensing, 7 (4). 3588-3612. ISSN 2072-4292

(Document in English)

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Official URL: http://dx.doi.org/10.3390/rs70403588


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.

Item Type:Article
Additional Information:Thanks to Multidisciplinary Digital Publishing Institute editor. The definitive version is available at http://www.mdpi.com/
HAL Id:hal-01556753
ProdINRA Id:308034
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Institut National de la Recherche Agronomique - INRA (FRANCE)
Other partners > Wageningen University & Research - WUR (NETHERLANDS)
Laboratory name:
Deposited On:21 Jun 2017 12:42

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