Repositorio
Institucional

Miranda, Alejandro

Mentler, Rayen

Moletto-Lobos, Italo

Alfaro, Gabriela

Aliaga, Leonardo

Balbontin, Dana

Barraza, Maximiliano

Baumbach, Susanne

Calderon, Patricio

Cardenas, Fernando

Castillo, Ivan

Contreras, Gonzalo

de la Barra, Felipe

Galleguillos, Mauricio

Gonzalez, Mauro E.

Hormazabal, Carlos

Lara, Antonio

Mancilla, Ian

Munoz, Francisca

Oyarce, Cristian

Pantoja, Francisca

Ramirez, Rocio

Urrutia, Vicente

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

COPERNICUS GESELLSCHAFT MBH

EARTH SYSTEM SCIENCE DATA

en

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 wild-fires 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).

artículo de datos

This research has been supported by ANID/FONDAP (grant no. 15110009), ANID/Fondecyt (grant no. 3210101), FONDEF-IDEA (grant no. ID20I10137), PIA/BASAL (grant no. AFB180003) and the Center for Fire and Socioecosystem Resilience.

Esta investigación ha sido apoyada por ANID/FONDAP (beca no. 15110009), ANID/Fondecyt (beca no. 3210101), FONDEF-IDEA (beca no. ID20I10137), PIA/BASAL (beca no. AFB180003) y el Centro de Bomberos. y Resiliencia del Socioecosistema.

10.5194/essd-14-3599-2022

PDF

TIME-SERIES

LAND-USE

ALGORITHM

WILDFIRES

IMPACTS

RDNBR

Geociencias

Multidisciplinaria

Meteorología y Ciencias Atmosféricas

SERIE DE TIEMPO

USO DE LA TIERRA

ALGORITMO

INCENDIOS FORESTALES

IMPACTOS

RDNBR

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

3599

3613

artículo de datos

version publicada

CC BY 4.0

CC BY 4.0

acceso abierto

acceso abierto

ANID-FONDAP 15110009

ANID-FONDEF ID20I10137

ANID PIA/BASAL AFB180003

ANID-FONDECYT 3210101

ANID FONDAP 15110009

ANID FONDEF ID20I10137

ANID FONDECYT 3210101

WOS:000838024900001