RT info:eu-repo/semantics/article
T1 Transferability of vegetation recovery models based on remote sensing across different fire regimes
A1 Fernández Guisuraga, José Manuel
A1 Suárez Seoane, Susana
A1 Calvo Galván, María Leonor
A2 Ecologia
K1 Ecología. Medio ambiente
K1 Image texture
K1 Megafire
K1 Model transferability
K1 Random forest regression
K1 Satellite imagery
K1 Sentinel-2
K1 Vegetation cover
K1 WorldView-2
AB AimTo evaluate the transferability between fire recurrence scenarios of post‐fire vegetation cover models calibrated with satellite imagery data at different spatial resolutions within two Mediterranean pine forest sites affected by large wildfires in 2012.LocationThe northwest and east of the Iberian Peninsula.MethodsIn each study site, we defined three fire recurrence scenarios for a reference period of 35 years. We used image texture derived from the surface reflectance channels of WorldView‐2 and Sentinel‐2 (at a spatial resolution of 2 m × 2 m and 20 m × 20 m, respectively) as predictors of post‐fire vegetation cover in Random Forest regression analysies. Percentage vegetation cover was sampled in two sets of field plots with a size roughly equivalent to the spatial resolution of the imagery. The plots were distributed following a stratified design according to fire recurrence scenarios. Model transferability was assessed within each study site by applying the vegetation cover model developed for a given fire recurrence scenario to predict vegetation cover in other scenarios, iteratively.ResultsFor both wildfires, the highest model transferability between fire recurrence scenarios was achieved for those holding the most similar vegetation community composition regarding the balance of species abundance according to their plant‐regenerative traits (root mean square error [RMSE] around or lower than 15%). Model transferability performance was highly improved by fine‐grained remote‐sensing data.ConclusionsFire recurrence is a major driver of community structure and composition so the framework proposed in this study would allow land managers to reduce efforts in the context of post‐fire decision‐making to assess vegetation recovery within large burned landscapes with fire regime variability.
PB Wiley
SN 1402-2001
LK http://hdl.handle.net/10612/12290
UL http://hdl.handle.net/10612/12290
NO P. 441-451
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 19-abr-2024