Generation of a global fuel data set using the Fuel Characteristic Classification System
This study presents the methods for the generation of the first global fuel data set, containing all the parameters required to be input in the Fuel Characteristic Classification System (FCCS). The data set was developed from different spatial variables, both based on satellite Earth observation pro...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-04-01
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| Series: | Biogeosciences |
| Online Access: | http://www.biogeosciences.net/13/2061/2016/bg-13-2061-2016.pdf |
| Summary: | This study presents the methods for the generation of the first
global fuel data set, containing all the parameters required to be input in
the Fuel Characteristic Classification System (FCCS). The data set was
developed from different spatial variables, both based on satellite Earth
observation products and fuel databases, and is comprised by a global fuelbed
map and a database that includes the parameters of each fuelbed that affect
fire behavior and effects. A total of 274 fuelbeds were created and
parameterized, and can be input into FCCS to obtain fire potentials, surface
fire behavior and carbon biomass for each fuelbed.
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We present a first assessment of the fuel data set by comparing the carbon
biomass obtained from our FCCS fuelbeds with the average biome values of four
other regional or global biomass products. The results showed a good
agreement both in terms of geographical distribution and biomass loads when
compared to other biomass data, with the best results found for tropical and
boreal forests (Spearman's coefficient of 0.79 and 0.77).
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This global fuel data set may be used for a varied range of applications,
including fire danger assessment, fire behavior estimations, fuel consumption
calculations and emissions inventories. |
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| ISSN: | 1726-4170 1726-4189 |