GEE is a freely-available web-based platform for planetary-scale scientific analysis and visualization of geospatial datasets. We addressed this challenge by developing a new methodology to detect submarine eruptions through the supervised classification of satellite images on Google Earth Engine (GEE). In analyzing this satellite imagery collection, one of the difficulties we face is the large amount of data that must be processed. In this study, we utilize Top-of-Atmosphere Reflectance data collected from Sentinel-II, which offers wide-swath, high-resolution imaging and data sampling of 13 spectral bands. Landsat-8, Sentinel-II) from the past decade. To improve eruption detection, we can utilize extensive collections of global satellite imagery of 10-30 m resolution (e.g. The short-lived nature of many eruptions can exacerbate the issue of detection. However, deep water volcanic eruptions are difficult to detect as they may only release floating pumice clasts or hydrothermal fluids (observed as discolored water) into the surrounding area. Eruptions from volcanoes that are only partially underwater or are close to the surface are easier to detect due to their sub-aerial plumes of ash and SO 2. nutrient input via discharged pumice rafts). Up to 80% of volcanic eruptions occur underwater, and these submarine volcanoes can have an impact on large-scale earth systems (e.g.
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