Advances in Forest Fire Research 2018
DOI: 10.14195/978-989-26-16-506_116
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Mapping fire severity levels of burned areas in Galicia (NW Spain) by Landsat images and the dNBR index: preliminary results about the influence of topographical, meteorological and fuel factors on the highest severity level

Abstract: A navegação consulta e descarregamento dos títulos inseridos nas Bibliotecas Digitais UC Digitalis, UC Pombalina e UC Impactum, pressupõem a aceitação plena e sem reservas dos Termos e Condições de Uso destas Bibliotecas Digitais, disponíveis em https://digitalis.uc.pt/pt-pt/termos. Conforme exposto nos referidos Termos e Condições de Uso, o descarregamento de títulos de acesso restrito requer uma licença válida de autorização devendo o utilizador aceder ao(s) documento(s) a partir de um endereço de IP da inst… Show more

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Cited by 3 publications
(3 citation statements)
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“…The offset term in Equation ( 3) is the average dNBR value from pixels in homogeneous and unchanged areas outside the fire perimeter [61,65] to make the index comparable between wildfires [61]. The dNBR thresholds were identified on the basis of field initial assessments (two months after fire in early fall) of the Composite Burn Index (CBI; [66]) in Atlantic and Mediterranean ecosystems [67,68] similar to those of the present study. Two field burn severity categories were established based on one of the CBI thresholds proposed by [69]: low (CBI ≤ 2.25) and high (CBI > 2.25).…”
Section: Burn Severity Mappingmentioning
confidence: 87%
See 1 more Smart Citation
“…The offset term in Equation ( 3) is the average dNBR value from pixels in homogeneous and unchanged areas outside the fire perimeter [61,65] to make the index comparable between wildfires [61]. The dNBR thresholds were identified on the basis of field initial assessments (two months after fire in early fall) of the Composite Burn Index (CBI; [66]) in Atlantic and Mediterranean ecosystems [67,68] similar to those of the present study. Two field burn severity categories were established based on one of the CBI thresholds proposed by [69]: low (CBI ≤ 2.25) and high (CBI > 2.25).…”
Section: Burn Severity Mappingmentioning
confidence: 87%
“…Two field burn severity categories were established based on one of the CBI thresholds proposed by [69]: low (CBI ≤ 2.25) and high (CBI > 2.25). Using these CBI thresholds and the linear models proposed by [67] and [68], with coefficients of determination (R 2 ) of 0.67 and 0.79, respectively, two dNBR burn severity categories (low and high) were established in the Atlantic and Mediterranean sites (Figure 2). Although we used external field burn severity data, the CBI approach provides a consistent and interpretable method for broad-scale comparisons of burn severity across time and regions with similar vegetation types and environmental conditions [70][71][72].…”
Section: Burn Severity Mappingmentioning
confidence: 99%
“…It is also one of the most affected regions in Europe (Montiel Molina and Galiana-Martín 2016). The region experienced the highest forest res, with a total burned area equivalent to 42% of the entire country between 2001(MAPA 2012Arellano-Pérez et al 2018). Galicia comprises 2,060,453 hectares of forest, accounting for 69 percent of all land in the region.…”
mentioning
confidence: 99%