Post-fire resilience in the Alpine region estimated from MODIS satellite multispectral data
2014
Di Mauro, B. | Fava, F. | Busetto, L. | Crosta, G.F. | Colombo, R.
In this study, a methodology based on the analysis of MODIS (MODerate-resolution Imaging Spectroradiometer) time series was developed to estimate post-fire resilience of Alpine vegetation. To this end, satellite images of two vegetation indices (VIs), the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) were used. The analysis was conducted on wildfire affected areas in the Lombardy region (Italy) between 2003 and 2007. Some land surface (LS) descriptors (i.e. mean and maximum VI, growing season start, end and length) were extracted to characterize the time evolution of the vegetation. The descriptors from a burned area were compared to those from an undisturbed adjacent control site by means of analysis of variance (one-way ANOVA). Post-fire resilience was estimated on the basis of the number of subsequent years exhibiting a statistical difference between burned area and control site. The same methodologies were also applied to events aggregated by main land cover (broadleaf forest, prairies and mixed forest). The averaged resilience of broadleaf forest was 5–6 years, whereas prairie ecosystems exhibited a faster response of 0–2 years. Phenological analysis revealed that fire induces a shift of the start and end of growing season in forest ecosystems but has no effect on prairies. The method provides a useful and quantitative insight into complex post-fire vegetation dynamics in the Alps from a remote sensing perspective; results can apply to post-fire forest management and to multi-risk analysis.
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