2019/03/28 by Claudia Corradino, Gaetana Ganci, Giuseppe Bilotta +3 · 2 citations
Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Atmospheric aerosols and clouds #Atmospheric and Environmental Gas Dynamics
paper · pdf · doi:10.3390/en12071216
openalex publication_date 2019/03/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30
The huge amount of information coming from remote sensors on satellites has allowed monitoring changes in the planetary environment from about 50 years. These instruments are widely adopted to observe extreme thermal events such as eruptive phenomena in volcanic areas. Although the availability of so many different infrared sensors makes these instruments suitable to observe different kind of thermal phenomena, choosing the right infrared sensor to monitor each thermal event is not straightforward. In fact, the decision should take into account both the main features of the phenomena under investigation, e.g., its size and temperatures, that are often not known a priori, and the instruments specifications, e.g., spatial resolution. Here, a smart decision support system (SDSS) is proposed to address this task. In particular, we used a SDSS to simulate remote sensors responses, collect data coming from three different classes of remote sensors, retrieve information about the main features of the observed thermal event and, consequently, select the most suitable infrared remote sensor for the specific observed phenomena. Results obtained for a real case of study at Etna volcano is shown.