RT info:eu-repo/semantics/article
T1 Radar and multispectral remote sensing data accurately estimate vegetation vertical structure diversity as a fire resilience indicator
A1 Fernández Guisuraga, José Manuel
A1 Suárez-Seoane, Susana
A1 Calvo Galván, María Leonor
A2 Ecologia
K1 Ecología. Medio ambiente
K1 Fire
K1 Resilience
K1 SAR (synthetic aperture radar)
K1 Sentinel
K1 Vertical structure diversity
K1 2417.13 Ecología Vegetal
K1 2506.16 Teledetección (Geología)
AB The structural complexity of plant communities contributes to maintaining theecosystem functioning in fire-prone landscapes and plays a crucial role in drivingecological resilience to fire. The objective of this study was to evaluate theresilience to fire off several plant communities with reference to the temporalevolution of their vertical structural diversity (VSD) estimated from the datafusion of C-band synthetic aperture radar (SAR) backscatter (Sentinel-1) andmultispectral remote sensing reflectance (Sentinel-2) in a burned landscape ofthe western Mediterranean Basin. We estimated VSD in the field 1 and 2 yearsafter fire using Shannon’s index as a measure of vertical heterogeneity in vegetationstructure from the vegetation cover in several strata, both in burned andunburned control plots. Random forest (RF) was used to model VSD in thecontrol (analogous to prefire scenario) and burned plots (1 year after fire)using as predictors (i) Sentinel-1 VV and VH backscatter coefficients and (ii)surface reflectance of Sentinel-2 bands. The transferability of the RF modelfrom 1 to 2 years after wildfire was also evaluated. We generated VSD predictionmaps across the study site for the prefire scenario and 1 to 4 years postfire.RF models accurately explained VSD in unburned control plots (R2 = 87.68;RMSE = 0.16) and burned plots 1 year after fire (R2 = 80.48; RMSE = 0.13).RF model transferability only involved a reduction in the VSD predictive capacityfrom 0.13 to 0.20 in terms of RMSE. The VSD of each plant community4 years after the fire disturbance was significantly lower than in the prefire scenario.Plant communities dominated by resprouter species featured significantlyhigher VSD recovery values than communities dominated by facultative or obligateseeders. Our results support the applicability of SAR and multispectral datafusion for monitoring VSD as a generalizable resilience indicator in fire-pronelandscapes.
PB Wiley
SN 2056-3485
LK http://hdl.handle.net/10612/15062
UL http://hdl.handle.net/10612/15062
NO Fernández-Guisuraga, J. M., Suárez-Seoane, S., & Calvo, L. (2022). Radar and multispectral remote sensing data accurately estimate vegetation vertical structure diversity as a fire resilience indicator. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/RSE2.299
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 26-abr-2024