RT info:eu-repo/semantics/article
T1 Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity
A1 Quintano Pastor, María del Carmen
A1 Fernández Manso, Alfonso
A1 Fernández Manso, Oscar
K1 Sentinel-2
K1 Landsat
K1 dNBR
K1 Burn severity
K1 Mediterranean ecosystems
AB Nowadays Earth observation satellites, in particular Landsat, provide a valuable help to forest managers in postfireoperations; being the base of post-fire damage maps that enable to analyze fire impacts and to developvegetation recovery plans. Sentinel-2A MultiSpectral Instrument (MSI) records data in similar spectral wavelengthsthat Landsat 8 Operational Land Imager (OLI), and has higher spatial and temporal resolutions. Thiswork compares two types of satellite-based maps for evaluating fire damage in a large wildfire (around 8000 ha)located in Sierra de Gata (central-western Spain) on 6–11 August 2015. 1) burn severity maps based exclusivelyon Landsat data; specifically, on differenced Normalized Burn Ratio (dNBR) and on its relative versions (RelativedNBR, RdNBR, and Relativized Burn Ratio, RBR) and 2) burn severity maps based on the same indexes butcombining pre-fire data from Landsat 8 OLI with post-fire data from Sentinel-2A MSI data. Combination of bothLandsat and Sentinel-2 data might reduce the time elapsed since forest fire to the availability of an initial firedamage map. Interpretation of ortho-photograph Pléiades 1 B data (1:10,000) provided us the ground referencedata to measure the accuracy of both burn severity maps. Results showed that Landsat based burn severity mapspresented an adequate assessment of the damage grade (κ statistic =0.80) and its spatial distribution in wildfireemergency response. Further using both Landsat and Sentinel-2 MSI data the accuracy of burn severity maps,though slightly lower (κ statistic =0.70) showed an adequate level for be used by forest managers
YR 2018
FD 2018
LK https://uvadoc.uva.es/handle/10324/67734
UL https://uvadoc.uva.es/handle/10324/67734
LA spa
NO International Journal of Applied Earth Observation and Geoinformation, Febrero, 2018, vol. 64, p. 221-224.
DS UVaDOC
RD 22-dic-2024