The training date is in the past. However, videos and resources of the training can be accessed here.
SAR sensors are ideal for monitoring certain disasters or areas that are vulnerable to disasters especially because the signal can “see” the surface of the Earth during day or night conditions and under nearly all weather conditions. In addition, the signal can penetrate through vegetation and is sensitive to surface roughness and small displacements of the land surface. This intermediate, three-part webinar series will focus on the use of SAR to 1) assess areas at risk from disasters due to landslides through the use of interferometric SAR (INSAR). This is accomplished by measuring small movements (on the order of centimeters) of the land surface that are caused by gradual landslide motion, and how these movements vary with time; 2) characterize the extent of oil spills and their impacts. SAR data is sensitive to surface roughness, allowing for identifying areas where there are oil spills; 3) and characterizing inundation extent. The SAR signal can penetrate through the vegetation and detect inundation driven by large precipitation events or by natural events. This training will include theoretical portions for each disaster as related to the SAR signal interaction with surface conditions and demonstrations using Google Earth Engine, Jupyter Notebooks, and the SNAP Toolbox, all freely and openly available tools.
Disaster management agencies, including domestic and international government agencies (e.g., FEMA and equivalent government organizations outside the U.S.) as well as aid organizations (e.g. Red Cross, UN).