ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-4-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 49–54, 2021
https://doi.org/10.5194/isprs-annals-V-4-2021-49-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 49–54, 2021
https://doi.org/10.5194/isprs-annals-V-4-2021-49-2021

  17 Jun 2021

17 Jun 2021

EFFECTS OF GEOSPATIAL DATA SOURCES ON THE IDENTIFICATION AND CHARACTERIZATION OF BURNT AREAS IN PORTUGAL

C. C. Fonte1,2, J. Patriarca1,2, and D. Duarte2 C. C. Fonte et al.
  • 1University of Coimbra, Department of Mathematics, Largo D. Dinis, Coimbra, Portugal
  • 2Institute for Systems Engineering and Computers at Coimbra - INESC Coimbra, Rua Sílvio Lima, Pólo II, Coimbra, Portugal

Keywords: Burnt areas, Land Use Land Cover, Corine Land Cover, COS, Uncertainty

Abstract. The work presented in this paper compares the burnt areas in continental Portugal in 2017 and 2018 mapped by three initiatives, namely the Portuguese Institute of Nature and Forests Conservation (ICNF), the Corine Land Cover (CLC) inventory of the Copernicus programme and the European Forest Fire Information System (EFFIS). Then, the Land Use Land Cover (LULC) classes affected by the 2017 burnt areas mapped by ICNF are analysed considering CLC 2018 and the 2018 LULC map produced by the Portuguese National Mapping Agency (Direção Geral do Território) – “Carta de Ocupação do Solo” (COS 2018). To enable a comparison between the classes of both LULC products, a nomenclature was selected and both CLC 2018 and COS 2018 were mapped into the chosen classes. The comparison of the burnt area’s extent showed that there are large differences in both area and levels of detail between the analysed data sources. The results regarding the LULC classes affected by the 2017 fires mapped by ICNF show large differences in terms of burnt area in each class as well as the proportion of the burnt areas associated to the classes. This analysis shows that very different results may be reached if different products are used, and therefore a large level of uncertainty is associated with the conclusions achieved with these products.