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Global Forest Fire Dataset (2000-2015)


GONG Adu1LI Jing1
1Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China

DOI:10.3974/geodb.2018.01.04.V1

Published:Jan. 2018

Visitors:4010       Data Files Downloaded:206      
Data Downloaded:3.18 MB      Citations:

Key Words:

Forest fire,Global,Distribution,Frequency,2000-2015

Abstract:

Based on the MODIS Collection 5.1 Burned Area Product (MCD45) and the disaster data provided by the international disaster database (EM-DAT), 195 forest fire major events were selected to establish the Global Forest Fire Dataset (2000-2015), including location, time, and frequency. The dataset is consisted of two groups of data: (1) Geolocation of the 195 global major forest fire events selected from 2000 to 2015; (2) frequency statistics of global forest fire events in each of the 195 places. The dataset indicates that the most frequency areas of forest fire are west part of North America, southern part of European, Australia and Northeast of China. For the temporal scale, there is 12 times forest fires each year during 2000-2015, while, the most forest fire year is 2002 with 29 times, and for 2014 and 2008 only five for each year, the most less forest fire during the 16 years. The datasets is archived in .shp, and .xlsx data format, 8 data files with the size of 44.3 KB (16 KB in one .rar file).

Foundation Item:

Ministry of Science and Technology of P. R. China (2016ST0010)

Data Citation:

GONG Adu,LI Jing.Global Forest Fire Dataset (2000-2015)[DB/OL].Global Change Research Data Publishing & Repository,2018.DOI:10.3974/geodb.2018.01.04.V1.

Data Product:

ID Data Name Data Size Operation
1 GlobalForestFire2000-2015.rar 15.83KB DownLoad
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum