RT info:eu-repo/semantics/article
T1 Comparison of Physical-Based Models to Measure Forest Resilience to Fire as a Function of Burn Severity
A1 Fernández Guisuraga, José Manuel
A1 Suárez Seoane, Susana
A1 Quintano Pastor, Carmen
A1 Fernández Manso, Alfonso
A1 Calvo Galván, María Leonor
A2 Ecologia
K1 Ecología. Medio ambiente
K1 Ingeniería forestal
K1 Fractional vegetation cover
K1 MESMA
K1 PROSAIL
K1 Recovery
K1 Sentinel-2
K1 Wildfire
K1 2417.13 Ecología Vegetal
K1 2506.16 Teledetección (Geología)
K1 3106.99 Otras (Incendios forestales)
K1 3106.01 Conservación
AB [EN] We aimed to compare the potential of physical-based models (radiative transfer and pixel unmixing models) for evaluating the short-term resilience to fire of several shrubland communities as a function of their regenerative strategy and burn severity. The study site was located within the perimeter of a wildfire that occurred in summer 2017 in the northwestern Iberian Peninsula. A pre- and post-fire time series of Sentinel-2 satellite imagery was acquired to estimate fractional vegetation cover (FVC) from the (i) PROSAIL-D radiative transfer model inversion using the random forest algorithm, and (ii) multiple endmember spectral mixture analysis (MESMA). The FVC retrieval was validated throughout the time series by means of field data stratified by plant community type (i.e., regenerative strategy). The inversion of PROSAIL-D featured the highest overall fit for the entire time series (R2 > 0.75), followed by MESMA (R2 > 0.64). We estimated the resilience of shrubland communities in terms of FVC recovery using an impact-normalized resilience index and a linear model. High burn severity negatively influenced the short-term resilience of shrublands dominated by facultative seeder species. In contrast, shrublands dominated by resprouters reached pre-fire FVC values regardless of burn severity
PB MDPI
LK https://hdl.handle.net/10612/20288
UL https://hdl.handle.net/10612/20288
NO Fernández-Guisuraga, J. M., Suárez-Seoane, S., Quintano, C., Fernández-Manso, A. & Calvo, L. (2022). Comparison of physical-based models to measure forest resilience to fire as a function of burn severity. Remote Sensing, 14(20) Article e5138. https://doi.org/10.3390/RS14205138
NO This article belongs to the Special Issue Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis
DS BULERIA. Repositorio Institucional de la Universidad de León
RD Jul 11, 2024