2024-03-28T23:19:26Zhttp://buleria.unileon.es/oai/requestoai:buleria.unileon.es:10612/113062020-12-10T09:00:00Zcom_10612_17col_10612_18
Burn Severity and Post-Fire Land Surface Albedo Relationship in Mediterranean Forest Ecosystems
Quintano Pastor, Carmen
Fernández Manso, Alfonso
Marcos Porras, Elena María
Calvo Galván, María Leonor
Ecologia
Ecología. Medio ambiente
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
coe cient of determination (R2
adj) of the linear regression model between the immediately post-fire
LSA image and the CBI values was approximately 67%. Fisher’s least significance di erence 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.
2019-11-05T23:40:14Z
2019-11-05T23:40:14Z
2019-11-05T23:40:14Z
info:eu-repo/semantics/article
Remote Sensing, 2019, vol.11, n. 19, 2309
2072-4292
https://www.mdpi.com/2072-4292/11/19/2309
http://hdl.handle.net/10612/11306
https://doi.org/10.3390/rs11192309
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Attribution-NoDerivatives 4.0 Internacional
Atribución 4.0 Internacional
MDPI