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(AVHRR), and Satellite Pour l’Observation de la Terre (SPOT) VEGETATION (VGT), have been exploited to build a long time series of fire-related information over large areas, on both continental and global scales ( Pu et al. 2007 ; Stroppiana et al. 2003 ), and are generally used for atmosphere studies such as those related to the carbon cycle and climate change ( Van der Werf et al. 2006 ). High-resolution (HR; 15–30 m) images, such as those provided by the Landsat Thematic Mapper (TM), SPOT High
(AVHRR), and Satellite Pour l’Observation de la Terre (SPOT) VEGETATION (VGT), have been exploited to build a long time series of fire-related information over large areas, on both continental and global scales ( Pu et al. 2007 ; Stroppiana et al. 2003 ), and are generally used for atmosphere studies such as those related to the carbon cycle and climate change ( Van der Werf et al. 2006 ). High-resolution (HR; 15–30 m) images, such as those provided by the Landsat Thematic Mapper (TM), SPOT High
properties but also to discriminate and map burned areas. As shown by Lentile et al. ( Lentile et al. 2006 ), in most environments and fire regimes and at the spatial resolution of most satellite sensors (>30 m), burned vegetation results in a drastic reduction in NIR surface reflectance; this is typically accompanied by a rise in shortwave-infrared (SWIR) reflectance. Thus, several spectral indices have been created to integrate the NIR and SWIR bands, both of which register the strongest responses, in
properties but also to discriminate and map burned areas. As shown by Lentile et al. ( Lentile et al. 2006 ), in most environments and fire regimes and at the spatial resolution of most satellite sensors (>30 m), burned vegetation results in a drastic reduction in NIR surface reflectance; this is typically accompanied by a rise in shortwave-infrared (SWIR) reflectance. Thus, several spectral indices have been created to integrate the NIR and SWIR bands, both of which register the strongest responses, in
