Implementation of Robust Satellite Techniques for Volcanoes on ASTER Data under the Google Earth Engine Platform

The RST (Robust Satellite Techniques) approach is a multi-temporal scheme of satellite data analysis widely used to investigate and monitor thermal volcanic activity from space through high temporal resolution sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS), Spinning Enhanced Visible Infrared Imager (SEVIRI). In this work, we present results preliminary algorithm implementation infrared (TIR) data, at 90 m spatial resolution, Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER). Results achieved under Google Earth Engine (GEE) environment, by analyzing 20 years observations over three active volcanoes (i.e., Etna, Shishaldin Shinmoedake) located in different geographic areas, show that RST-based system, hereafter named RASTer, detected higher (around 25% more) number anomalies than well-established ASTER Volcano Archive (AVA). Despite availability less populated dataset other sensors, on guarantees an efficient identification mapping features even low intensity level. To improve continuity monitoring, possibility exploiting RASTer here addressed, perspective operational multi-satellite observing system. latter could include mid-high (e.g., Sentinel-2/MSI, Landsat-8/OLI), well those higher-temporal (lower-spatial) EOS/MODIS, Suomi-NPP/VIIRS, Sentinel-3/SLSTR), for which provide useful algorithm’s validation training dataset.