Utilizing Machine Learning and Anomaly Detection to Detect Skewed SWESARR Data and Understand How Snow Water Equivalent Changes Spatially

The SWESARR instrument produces unreliable results when flying over terrain populated by foliage. As a result, our team used a modified version of the LOF algorithm to detect subtle and extreme disturbances in the SWESARR data. We were only able to work with the VV polarization of the X band and the... View More