Generation of a global fuel data set using the Fuel Characteristic  Classification System

Pettinari, M. Lucrecia; Chuvieco, Emilio

doi:https://doi.org/10.5194/bg-13-2061-2016

Articles | Volume 13, issue 7

https://doi.org/10.5194/bg-13-2061-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/bg-13-2061-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 13, issue 7

Research article

|

08 Apr 2016

Research article |

| 08 Apr 2016

Generation of a global fuel data set using the Fuel Characteristic Classification System

M. Lucrecia Pettinari and Emilio Chuvieco

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Final revised paper (published on 08 Apr 2016)
Preprint (discussion started on 27 Oct 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

SC C7586: 'Comment to "Generation of a global fuel dataset using the Fuel Characteristic Classification System"', Paulo Fernandes, 11 Nov 2015
RC C7891: 'Generation of a global fuel dataset using the Fuel Characteristic Classification System', Anonymous Referee #1, 24 Nov 2015
RC C8463: 'Reviewer Comment on paper Generation of fuel data set', Anonymous Referee #2, 12 Dec 2015
AC C9307: 'Author reply to reviewers comments and short comment', M. L. Pettinari, 20 Jan 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (Editor review) (05 Feb 2016) by Kirsten Thonicke

AR by M. Lucrecia Pettinari on behalf of the Authors (19 Feb 2016) Author's response Manuscript

ED: Publish as is (16 Mar 2016) by Kirsten Thonicke

AR by M. Lucrecia Pettinari on behalf of the Authors (16 Mar 2016)

Short summary

This paper presents the first global fuel data set, containing all the parameters required to be input in the Fuel Characteristic Classification System (FCCS). It was developed from different spatial variables, both based on satellite Earth Observation products and fuel databases. This data set could be used for different applications, including fire danger assessment, fire behavior estimations, fuel consumption calculations and emissions inventories.