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The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile
Earth System Science Data ( IF 11.2 ) Pub Date : 2022-08-10 , DOI: 10.5194/essd-14-3599-2022 Alejandro Miranda , Rayén Mentler , Ítalo Moletto-Lobos , Gabriela Alfaro , Leonardo Aliaga , Dana Balbontín , Maximiliano Barraza , Susanne Baumbach , Patricio Calderón , Fernando Cárdenas , Iván Castillo , Gonzalo Contreras , Felipe de la Barra , Mauricio Galleguillos , Mauro E. González , Carlos Hormazábal , Antonio Lara , Ian Mancilla , Francisca Muñoz , Cristian Oyarce , Francisca Pantoja , Rocío Ramírez , Vicente Urrutia
Earth System Science Data ( IF 11.2 ) Pub Date : 2022-08-10 , DOI: 10.5194/essd-14-3599-2022 Alejandro Miranda , Rayén Mentler , Ítalo Moletto-Lobos , Gabriela Alfaro , Leonardo Aliaga , Dana Balbontín , Maximiliano Barraza , Susanne Baumbach , Patricio Calderón , Fernando Cárdenas , Iván Castillo , Gonzalo Contreras , Felipe de la Barra , Mauricio Galleguillos , Mauro E. González , Carlos Hormazábal , Antonio Lara , Ian Mancilla , Francisca Muñoz , Cristian Oyarce , Francisca Pantoja , Rocío Ramírez , Vicente Urrutia
Achieving a local understanding of fire regimes requires
high-resolution, systematic and dynamic databases. High-quality information
can help to transform evidence into decision-making in the context of
rapidly changing landscapes, particularly considering that geographical and
temporal patterns of fire regimes and their trends vary locally over time.
Global fire scar products at low spatial resolutions are available, but
high-resolution wildfire data, especially for developing countries, are still
lacking. Taking advantage of the Google Earth Engine (GEE) big-data analysis
platform, we developed a flexible workflow to reconstruct individual burned
areas and derive fire severity estimates for all reported fires. We tested
our approach for historical wildfires in Chile. The result is the Landscape
Fire Scars Database, a detailed and dynamic database that reconstructs 8153
fires scars, representing 66.6 % of the country's officially recorded
fires between 1985 and 2018. For each fire event, the database contains the
following information: (i) the Landsat mosaic of pre- and post-fire images; (ii) the fire scar in binary format; (iii) the remotely sensed estimated fire
indexes (the normalized burned
ratio, NBR, and the relative delta normalized burn ratio, RdNBR); and two vector files indicating (iv) the fire scar
perimeter and (v) the fire scar severity reclassification, respectively. The Landscape
Fire Scars Database for Chile and GEE script (JavaScript) are publicly
available. The framework developed for the database can be applied anywhere
in the world, with the only requirement being its adaptation to local factors
such as data availability, fire regimes, land cover or land cover dynamics,
vegetation recovery, and cloud cover. The Landscape Fire Scars Database for Chile is publicly available in https://doi.org/10.1594/PANGAEA.941127 (Miranda et al., 2022).
更新日期：2022-08-10
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