Wildfires have the tendency to occur unexpectedly in remote areas, often on large scales; hence the most suitable way to quantify and characterize their emissions is by remote sensing from airborne and satellite-based platforms. The detection of fires and the assessment of area affected by fires is also best done from a high vantage point.
Remote sensing, however, can be affected by complications, such as low spatial sampling, infrequent sampling, or clouds obscuring the view. In many cases, assumptions on surface, particle, or trace gas properties have to be assumed implicitly in the algorithm.
This session is dedicated to the remote sensing of fires, their emissions, and burnt area. Contributions about methods and algorithms, results, and model comparisons are welcome.`