Topical Advisory Panel for section 'Fire Science Models, Remote Sensing, and Data'
- Fire Science Models, Remote Sensing, and Data Section
- Fire Research at the Science–Policy–Practitioner Interface Section
- Fire Risk Assessment and Safety Management in Buildings and Urban Spaces Section
- Mathematical Modelling and Numerical Simulation of Combustion and Fire Section
Please see the section webpage for more information on this section.
Members
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Interests: flash flood; change detection; landuse landcover; land surface temperature; ca-markov; forest fire; AHP model; crop monitoring; google earth engine; AppEEARS; MODIS data; SAR
Interests: flash flood; change detection; landuse landcover; land surface temperature; ca-markov; forest fire; AHP model; crop monitoring; google earth engine; AppEEARS; MODIS data; SAR
Wildland Fire Science Lab, Tall Timbers Research Station, Tallahassee, FL 32312, USA
Interests: prescribed fire applications; forest restoration and monitoring; remote sensing and terrestrial LiDAR; pyrophytic vegetation
Interests: prescribed fire applications; forest restoration and monitoring; remote sensing and terrestrial LiDAR; pyrophytic vegetation
1. Istituto Zooprofilattico Sperimentale dell'Abruzzo e Molise "G. Caporale", Teramo, Italy
2. INVA Spa—Earth Observation Valle d'Aosta (eoVdA), Località L'Île-Blonde, 5, 11020 Brissogne, Italy
Interests: remote sensing; earth observation data; forestry; One Health; GIS; Google earth engine; machine learning; recovery
Special Issues, Collections and Topics in MDPI journals
2. INVA Spa—Earth Observation Valle d'Aosta (eoVdA), Località L'Île-Blonde, 5, 11020 Brissogne, Italy
Interests: remote sensing; earth observation data; forestry; One Health; GIS; Google earth engine; machine learning; recovery
Special Issues, Collections and Topics in MDPI journals
