Preprints
https://doi.org/10.5194/essd-2021-467
https://doi.org/10.5194/essd-2021-467
 
29 Mar 2022
29 Mar 2022
Status: this preprint is currently under review for the journal ESSD.

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

Alejandro Miranda1,2, Rayen Mentler1, Italo Moleto-Lobos3, Gabriela Alfaro4, Leonardo Aliaga1, Dana Balbontín1, Maximiliano Barraza1, Susanne Baumbach1, Patricio Calderón1, Fernando Cardenas1, Ivan Castillo1, Gonzalo Contreras1, Felipe de la Barra4, Mauricio Galleguillos1,5, Mauro González1,6,7, Carlos Hormazabal1, Antonio Lara1,6,8, Ian Mancilla1, Francisca Muñoz1, Cristian Oyarce1, Francisca Pantoja1, Rocío Ramirez1, and Vicente Urrutia1 Alejandro Miranda et al.
  • 1Center for Climate and Resilience Research (CR)2, Santiago, Chile
  • 2Laboratorio de Ecología del Paisaje y Conservación, Departamento de Ciencias Forestales, Universidad de La Frontera, Temuco, Chile
  • 3Image Processing Laboratory, Global Change Unit, University of Valencia, Valencia, Spain
  • 4Industrial Engineering Department, University of Chile, Santiago, Chile
  • 5Department of Environmental Sciences and Natural Resources, University of Chile, Santiago, Chile
  • 6Instituto de Conservación, Biodiversidad y Territorio, Facultad de Ciencias Forestales y Recursos Naturales, Universidad Austral de Chile, Valdivia, Chile
  • 7Center for Fire and Socioecosystem Resilience (FireSES), Universidad Austral de Chile, Valdivia, Chile
  • 8Fundación Centro de los Bosques Nativos FORECOS, Valdivia, Chile

Abstract. Achieving a local understanding of fire regimes requires high resolution, systematic and dynamic databases. Highquality information can help to transform the 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, is 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 8,153 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) Landsat mosaic of pre- and post-fire images; (ii) the fire scar in binary format; (iii) the remotely sensed estimated fire indexes (NBR, RdNBR), plus two vector files indicating (iv) the fire scar perimeter and (v) the fire scar severity reclassification. 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, 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.

Alejandro Miranda et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Review_Report_Miranda_et_al_2022', Anonymous Referee #1, 25 Apr 2022
  • RC2: 'Comment on essd-2021-467', Anonymous Referee #2, 27 Apr 2022
  • RC3: 'Comment on essd-2021-467', Anonymous Referee #3, 03 May 2022

Alejandro Miranda et al.

Data sets

Fire Scars: remotely sensed historical burned area and fire severity in Chile between 1984-2018 Miranda, Alejandro; Mentler, Rayen; Moleto-Lobos, Italo; Alfaro, Gabriela; Aliaga, Leonardo; Balbontín, Dana; Barraza, Maximiliano; Baumbach, Susanne; Calderón, Patricio; Cardenas, Fernando; Castillo, Ivan; Gonzalo, Contreras; de la Barra, Felipe; Galleguillos, Mauricio; Gonzalez, Mauro; Hormazabal, Carlos; Lara, Antonio; Mancilla, Ian; Muñoz, Francisca; Oyarce, Cristian; Pantoja, Francisca; Ramirez, Rocío; Urrutia, Vicente. https://www.pangaea.de/tok/6dcc6e08241c5076ef6bff47bbe73014308d4881

Alejandro Miranda et al.

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Short summary
Achieving a local understanding of fire regimes requires high resolution, systematic and dynamic data. High-quality information can help to transform the evidence into decision-making. Taking advantage of Big-Data and Remote Rensing technics we developed a flexible workflow to reconstruct burned areas and fire severity, releasing more than 8,000 individual fires data for Chile. The framework developed for the database can be applied anywhere in the world with little requirement.