The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile

Miranda, Alejandro; Mentler, Rayén; Moletto-Lobos, Ítalo; Alfaro, Gabriela; Aliaga, Leonardo; Balbontín, Dana; Barraza, Maximiliano; Baumbach, Susanne; Calderón, Patricio; Cárdenas, Fernando; Castillo, Iván; Contreras, Gonzalo; de la Barra, Felipe; Galleguillos, Mauricio; González, Mauro E.; Hormazábal, Carlos; Lara, Antonio; Mancilla, Ian; Muñoz, Francisca; Oyarce, Cristian; Pantoja, Francisca; Ramírez, Rocío; Urrutia, Vicente

doi:https://doi.org/10.5194/essd-14-3599-2022

Articles | Volume 14, issue 8

https://doi.org/10.5194/essd-14-3599-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-14-3599-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 8

Data description paper

|

10 Aug 2022

Data description paper |

| 10 Aug 2022

The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile

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, and Vicente Urrutia

Data sets

Fire Scars: remotely sensed historical burned area and fire severity in Chile between 1984-2018 Alejandro Miranda, Rayen Mentler, Italo Moleto-Lobos, Gabriela Alfaro, Leonardo Aliaga, Dana Balbontín, Maximiliano Barraza, Susanne Baumbach, Patricio Calderón, Fernando Cardenas, Ivan Castillo, Gonzalo Contreras, Felipe de la Barra, Mauricio Galleguillos, Mauro González, Carlos Hormazabal, Antonio Lara, Ian Mancilla, Francisca Muñoz, Cristian Oyarce, Francisca Pantoja, Rocío Ramirez, and Vicente Urrutia https://doi.org/10.1594/PANGAEA.941127

Short summary

Achieving a local understanding of fire regimes requires high-resolution, systematic and dynamic data. High-quality information can help to transform evidence into decision-making. Taking advantage of big-data and remote sensing technics we developed a flexible workflow to reconstruct burned area and fire severity data for more than 8000 individual fires in Chile. The framework developed for the database can be applied anywhere in the world with minimal adaptation.