Brazilian natural disasters integrated into cyber-physical systems: computational challenges for landslides and floods in urban ecosystems

Natural disasters cause a high impact in society, resulting in human and economic losses, so much so that increasing the efficiency in monitoring these phenomena becomes a necessity. The integration of cyber-physical systems and their IoT devices, connectivity, machine learning, and Big Data can hel...

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Bibliographic Details
Published in2020 IEEE International Smart Cities Conference (ISC2) pp. 1 - 8
Main Authors Santos, Alessandro S., Corsi, Alessandra C., Teixeira, Igor C., Gava, Vagner L., Falcetta, Filipe A. M., Macedo, Eduardo S. de, Azevedo, Caio da S., Lima, Karlson T. B. de, Braghetto, Kelly R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 28.09.2020
Subjects
Cyber-physical systems
Environmental monitoring
Floods
IoT
Landslides
Machine learning
Monitoring
Sensor phenomena and characterization
Sensor systems
Smart Environment
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Summary:Natural disasters cause a high impact in society, resulting in human and economic losses, so much so that increasing the efficiency in monitoring these phenomena becomes a necessity. The integration of cyber-physical systems and their IoT devices, connectivity, machine learning, and Big Data can help to achieve this efficiency. This paper presents key points of the phenomenology of these processes, with challenges and opportunities for applied computing in urban environmental studies in Brazil, as well as investigates studies and techniques that have been used to monitor landslides and floods.
ISSN:2687-8860
DOI:10.1109/ISC251055.2020.9239011