Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.102
IF3.102
IF 5-year value: 3.284
IF 5-year
3.284
CiteScore value: 5.1
CiteScore
5.1
SNIP value: 1.37
SNIP1.37
IPP value: 3.21
IPP3.21
SJR value: 1.005
SJR1.005
Scimago H <br class='widget-line-break'>index value: 90
Scimago H
index
90
h5-index value: 42
h5-index42
Preprints
https://doi.org/10.5194/nhess-2020-230
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2020-230
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  27 Jul 2020

27 Jul 2020

Review status
A revised version of this preprint is currently under review for the journal NHESS.

Assessing the accuracy of remotely-sensed fire datasets across the Southwestern Mediterranean basin

Luiz Felipe Galizia1, Thomas Curt1, Renaud Barbero1, and Marcos Rodrigues2,3 Luiz Felipe Galizia et al.
  • 1INRAE, Mediterranean Ecosystems and Risks, Aix-en-Provence, France
  • 2Department of Agricultural and Forest Engineering, University of Lleida, Lleida, Spain
  • 3Joint Research Unit CTFC-AGROTECNIO, Solsona, Lleida, Spain

Abstract. Recently, many remote-sensing (RS) based datasets providing features of individual fire events from gridded global burned area products have been released. Although very promising, these datasets still lack a quantitative estimate of their accuracy with respect to historical ground-based fire databases. Here, we compared three state-of-the-art RS datasets (Fire Atlas, FRY and GlobFire) with high-quality ground databases compiled by regional fire agencies (AG) across the Southwestern Mediterranean basin (2005–2015). We assessed the spatial and temporal accuracy in estimated RS burned area (BA) and number of fires (NF) aggregated at monthly and 0.25° resolutions, considering different individual fire size thresholds ranging from 1 to 500 ha. Our results show that RS datasets were highly correlated with AG in terms of monthly BA and NF but severely underestimated both (by 38 % and 96 %, respectively) when considering all fires > 1 ha. Stronger agreement was found when increasing the fire size threshold, with fires > 100 ha denoting higher correlation and much lower error (BA 10 %; NF 35%). The agreement between RS and AG was also the highest during the warm season (May to October) in particular across the regions with greater fire activity such as the Northern Iberian Peninsula. The Fire Atlas displayed a slightly better performance, with a lower relative error, although uncertainty in gridded BA product largely outpaced uncertainties across the RS datasets. Overall, our findings suggest a reasonable agreement between RS and ground-based datasets for fires larger than 100 ha, but care is needed when examining smaller fires at regional scales.

Luiz Felipe Galizia et al.

Interactive discussion

Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Luiz Felipe Galizia et al.

Data sets

Harmonized fire agencies dataset across the Southwestern Mediterranean basin Galizia, Luiz Felipe; Curt, Thomas; Barbero, Renaud; Rodrigues, Marcos https://doi.org/10.5281/zenodo.3905040

Luiz Felipe Galizia et al.

Viewed

Total article views: 199 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
154 43 2 199 15 6 7
  • HTML: 154
  • PDF: 43
  • XML: 2
  • Total: 199
  • Supplement: 15
  • BibTeX: 6
  • EndNote: 7
Views and downloads (calculated since 27 Jul 2020)
Cumulative views and downloads (calculated since 27 Jul 2020)

Viewed (geographical distribution)

Total article views: 169 (including HTML, PDF, and XML) Thereof 169 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 23 Oct 2020
Publications Copernicus
Download
Short summary
This manuscript aims to provide a quantitative evaluation of three different remote-sensing datasets of individual fire. Overall, our findings suggest a reasonable agreement of remote-sensing datasets with ground-based datasets for fires larger than 100 ha. This is the first evaluation of three state-of-the-art remote-sensing datasets derived from pixel-level burned area, which have recently emerged as an important resource to improve our understanding of individual fire dynamics and fire regime.
This manuscript aims to provide a quantitative evaluation of three different remote-sensing...
Citation
Altmetrics