Global fire monitoring systems are crucial to study fire behaviour, fire regimes and their impact at the global scale. Although global fire products based on the use of Earth Observation satellites exist, most of these remote sensing products only partially cover the requirements for these analyses. These data do not provide information like fire size, fire spread speed, number of wildfires that join together or the amount of fire events for a given area. This next level of abstraction is very valuable; it makes it possible to distinguish fire by types (either size, spread, behaviour, etc.), and search for patterns of environmental factors that characterize fire spread. Here, we present and test a data mining work flow to create a global database of single fires that allows for the characterization of fire types and fire regimes worldwide. This work describes the data produced by a data mining process using MODIS burnt area product Collection 6 (MCD64A1). The entire product has been computed until the present and is available under the umbrella of the Global Wildfire Information System (GWIS).

ARTES VIVANCOS Tomas;  JACOME FELIX OOM Duarte;  DI RIGO Daniele;  DURRANT Tracy;  MAIANTI Pieralberto;  LIBERTA' Giorgio;  SAN-MIGUEL-AYANZ Jesus; 

2019-12-04

NATURE PUBLISHING GROUP

JRC116346

2052-4463 (online),   

https://www.nature.com/articles/s41597-019-0312-2,    https://publications.jrc.ec.europa.eu/repository/handle/JRC116346,   

10.1038/s41597-019-0312-2 (online),    10.1594/PANGAEA.895835,