2022
DOI: 10.1080/10106049.2022.2097482
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Short-term temporal and spatial analysis for post-fire vegetation regrowth characterization and mapping in a Mediterranean ecosystem using optical and SAR image time-series

Abstract: Figure 1-S. Burn recovery ratio (BRR) separately calculated for NDRE (BRRNDRE; first row) and RVI_Ds (BRRRVI_Ds; second row). The columns separate the three post-fire date of observation: June 2019 (first column), 2020 (second column), 2021 (third column). The colour palette represents a recovery gradient from very low (dark red) to very high (green).

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Cited by 6 publications
(1 citation statement)
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“…Satellite images and spectral indices were used for this purpose. Among the different available spectral indices, the Normalised Burn Ratio (NBR) [66] is widely recognised as effective in discriminating burnt areas [67][68][69][70]. Considering that fire events were concentrated in the first ten days of August 2021, we examined the fire events, through the code editor environment of the Google Earth Engine (GEE) cloud computational platform [71], one cloud-free Sentinel-2 satellite image before (i.e., 8 July 2021) and one after (16 September 2021).…”
Section: Methodsmentioning
confidence: 99%
“…Satellite images and spectral indices were used for this purpose. Among the different available spectral indices, the Normalised Burn Ratio (NBR) [66] is widely recognised as effective in discriminating burnt areas [67][68][69][70]. Considering that fire events were concentrated in the first ten days of August 2021, we examined the fire events, through the code editor environment of the Google Earth Engine (GEE) cloud computational platform [71], one cloud-free Sentinel-2 satellite image before (i.e., 8 July 2021) and one after (16 September 2021).…”
Section: Methodsmentioning
confidence: 99%