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Open AccessLetter

Burn Severity and Post-Fire Land Surface Albedo Relationship in Mediterranean Forest Ecosystems

1
Electronic Technology Department, University of Valladolid, Paseo Cauce, 59, 47011 Valladolid, Spain
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Sustainable Forest Management Research Institute, University of Valladolid-INIA, 34004 Palencia, Spain
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Agrarian Science and Engineering Department, University of León, Av. Astorga s/n, 24400 Ponferrada, Spain
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Area of Ecology, Faculty of Biological and Environmental Sciences, University of León, 24071 León, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(19), 2309; https://doi.org/10.3390/rs11192309
Received: 5 August 2019 / Revised: 24 September 2019 / Accepted: 2 October 2019 / Published: 3 October 2019
Our study explores the relationship between land surface albedo (LSA) changes and burn severity, checking whether the LSA is an indicator of burn severity, in a large forest fire (117.75 km2, Spain). The LSA was obtained from Landsat data. In particular, we used an immediately-after-fire scene, a year-after-fire scene and a pre-fire one. The burn severity (three levels) was assessed in 111 field plots by using the Composite Burn Index (CBI). The potentiality of remotely sensed LSA as an indicator for the burn severity was tested by a one-way analysis of variance, correlation analysis and regression models. Specifically, we considered the total shortwave, visible, and near-infrared LSA. Immediately after the fire, we observed a decrease in the LSA for all burn severity levels (up to 0.631). A small increase in the LSA was found (up to 0.0292) a year after the fire. The maximum adjusted coefficient of determination (R2adj) of the linear regression model between the immediately post-fire LSA image and the CBI values was approximately 67%. Fisher’s least significance difference test showed that two burn severity levels could be discriminated by the immediately post-fire LSA image. Our results demonstrate that the magnitude of the changes in the LSA is related to the burn severity with a statistical significance, suggesting the potentiality of immediately-after-fire remotely sensed LSA for estimating the burn severity as an alternative to other satellite-based methods. However, the persistency of these changes in time should be evaluated in future research. View Full-Text
Keywords: fire damage; burn severity; albedo; landsat; Mediterranean fire damage; burn severity; albedo; landsat; Mediterranean
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MDPI and ACS Style

Quintano, C.; Fernandez-Manso, A.; Marcos, E.; Calvo, L. Burn Severity and Post-Fire Land Surface Albedo Relationship in Mediterranean Forest Ecosystems. Remote Sens. 2019, 11, 2309.

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