A limitation of optical satellite remote sensing is that it depends on cloudless, well-illuminated areas to produce quality data. This is especially problematic for collecting data during nighttime or when there is cloud cover. Radar is an ideal sensor to study the surface of the Earth because of its ability to “see” through clouds regardless of day or night conditions. In addition, the radar signal can penetrate through the vegetation canopy and provide information about conditions underneath, such as flooding. Techniques such as interferometry can track surface deformation on the order centimeters, such as ground movement caused by earthquakes.
This webinar series builds on ARSET's previous webinar: Introduction to Synthetic Aperture Radar. The training will focus on different radar approaches and techniques including amplitude, time-series, polarimetry, and interferometry for mapping and monitoring disasters and land cover. Attendees will apply these techniques to map land cover and land use change, deforestation, flooding, crop monitoring, and surface deformation for earthquake monitoring.
Course Date and Time: Tuesdays and Thursdays, August 7, 9, 14, and 16. One session will be broadcast in Spanish (10:00-12:00 EDT, UTC-4) and one in English 18:00-20:00 EDT (UTC-4).
Remote sensing users from local, regional, state, federal, and international organizations interested in using SAR for terrestrial applications such as inundation mapping, land cover land use change studies, and surface deformation for volcanic and earthquake activity.