RT info:eu-repo/semantics/article
T1 Evaluation and comparison of Landsat 8, Sentinel-2 and Deimos-1 remote sensing indices for assessing burn severity in Mediterranean fire-prone ecosystems
A1 García Llamas, Paula
A1 Suárez Seoane, Susana
A1 Fernández Guisuraga, José Manuel
A1 Fernández García, Víctor
A1 Fernández Manso, Alfonso
A1 Quintano Pastor, Carmen
A1 Taboada Palomares, Ángela
A1 Marcos Porras, Elena María
A1 Calvo Galván, María Leonor
A2 Ecologia
K1 Ecología. Medio ambiente
K1 Composition burn index
K1 Remote sensing
K1 Thermal indices
K1 Spectral indices
AB The development of improved spatial and spectral resolution sensors provides new opportunities to assess burn severity more accurately. This study evaluates the ability of remote sensing indices derived from three remote sensing sensors (i.e., Landsat 8 OLI/TIRS, Sentinel-2 MSI and Deimos-1 SLIM-6-22) to assess burn severity (site, vegetation and soil burn severity). As a case study, we used a megafire (9,939 ha) that occurred in a Mediterranean ecosystem in northwestern Spain. Remote sensing indices included seven reflective, two thermal and four mixed indices, which were derived from each satellite and were validated with field burn severity metrics obtained from CBI index. Correlation patterns of field burn severity and remote sensing indices were relatively consistent across the different sensors. Additionally, regardless of the sensor, indices that incorporated SWIR bands (i.e., NBR-based indices), exceed those using red and NIR bands, and thermal and mixed indices. High resolution Sentinel-2 imagery only slightly improved the performance of indices based on NBR compared to Landsat 8. The dNDVI index from Landsat 8 and Sentinel-2 images showed relatively similar correlation values to NBR-based indices for site and soil burn severity, but showed limitations using Deimos-1. In general, mono-temporal and relativized indices better correlated with vegetation burn severity in heterogeneous systems than differenced indices. This study showed good potential for Landsat 8 OLI/TIRS and Sentinel-2 MSI for burn severity assessment in fire-prone heterogeneous ecosystems, although we highlight the need for further evaluation of Deimos-1 SLIM-6-22 in different fire scenarios, especially using bi-temporal indices.
PB Elsevier
SN 0303-2434
LK http://hdl.handle.net/10612/11248
UL http://hdl.handle.net/10612/11248
NO International Journal of Applied Earth Observation and Geoinformation, 2019, vol. 80
NO P. 137-144
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 27-abr-2024