Description
Optical satellite remote sensing 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 because of its ability to “see” the surface through clouds or 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 whether there is flooding. Also, techniques such as interferometry can track surface deformation on the order of centimeters, such as displacement caused by earthquakes.
This webinar series, led by NASA's Applied Remote Sensing Training (ARSET) program, builds on ARSET's previous webinar, Introduction to Synthetic Aperture Radar. The training focuses on different techniques such as time-series', polarimetry, and interferometry for mapping and monitoring disasters, water, and land cover applications such as deforestation, crops, flooding, and earthquakes.