FireCCI_Africa_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Africa continental for the year 2019

Version 1.1
Stroppiana, Daniela; Sali, Matteo; Busetto, Lorenzo; Boschetti, Mirco; Franquesa Fuentetaja, Magi, 2022, "FireCCI_Africa_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Africa continental for the year 2019", https://doi.org/10.21950/VKFLCH, e-cienciaDatos, V1
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Description
The FireCCI_Africa_2019_S2 reference dataset was derived from S2 images over a set of 50 tiles (sampling units) sampled following a design customized for the Sentinel tiling grid system and to represent major fire regimes of the African continent in the different ecoregions. Over each tile S2 time series were defined based on a set of conditions for minimizing cloud cover and to guarantee series length and a minimum time lag between image pairs. S2 image pairs were classified with a Random Forest (RF) algorithm to provide burned perimeters of depicting areas that burned between the two dates that were combined in a synthetic burned area reference dataset. This dataset represent for each unit burned and unburned polygons and masked areas. A detailed description of the dataset can be found in Stroppiana et al.(2022) ("Sampling design and reference fire perimeters over Africa for the year 2019 from Sentinel-2 for validation of Earth Observation burned area products", in preparation). The FireCCI_Africa_2019_S2 dataset is part of the Burned Area Reference Database (BARD), a database that compiles multitemporal global and regional burned area reference datasets for Earth Observation burned area products validation.
Subject Earth and Environmental Sciences
Keyword Remote sensing, Fire disturbance, Accuracy assessment, Probalility sampling, Burned area, Biomes
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FireCCI_Africa_2019_S2.rar
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Published Jan 13, 2022
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MD5: 492cd73bc62e019817c11a1599d10e48
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