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Historical background and current developments for mapping burned area from satellite Earth observation

Fire has a diverse range of impacts on Earth's physical and social systems. Accurate and up to date information on areas affected by fire is critical to better understand drivers of fire activity, as well as its relevance for biogeochemical cycles, climate, air quality, and to aid fire management. Mapping burned areas was traditionally done from field sketches. With the launch of the first Earth observation satellites, remote sensing quickly became a more practical alternative to detect burned areas, as they provide timely regional and global coverage of fire occurrence. This review paper explores the physical basis to detect burned area from satellite observations, describes the historical trends of using satellite sensors to monitor burned areas, summarizes the most recent approaches to map burned areas and evaluates the existing burned area products (both at global and regional scales). Finally, it identifies potential future opportunities to further improve burned area detection from Earth observation satellites.
- AUS (United States) United States
- French National Centre for Scientific Research France
- Max Planck Society Germany
- University of Leicester United Kingdom
- Australian National University Australia
Lidar, Radar, Geografía, Geography, Soil Science, Geology, Burned área, Fire, Environmental science, Medio Ambiente, Burned area, Climate change, Computers in Earth Sciences, Fire impacts
Lidar, Radar, Geografía, Geography, Soil Science, Geology, Burned área, Fire, Environmental science, Medio Ambiente, Burned area, Climate change, Computers in Earth Sciences, Fire impacts
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).350 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1% visibility views 154 download downloads 97 - 154views97downloads
Data source Views Downloads Biblioteca Digital de la Universidad de Alcalá 154 97


