Earthquakes: From Twitter Detection to EO Data Processing

Autor:	Stelios Andreadis, Ilias Gialampoukidis, Andrea Manconi, David Cordeiro, Vasco Conde, Manuela Sagona, Fabrice Brito, Nick Pantelidis, Thanassis Mavropoulos, Nuno Grosso, Stefanos Vrochidis, Ioannis Kompatsiaris
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	earth observation (EO) location identification earthquake social media Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology natural disaster management
Zdroj:	IEEE Geoscience and Remote Sensing Letters, 19
ISSN:	1545-598X 1558-0571
Popis:	The increase of social media use in recent years has shown potential also for the identification of specific trends in the data that could be used to locate earthquakes. In this work, we implemented a pipeline that uses Twitter data to identify locations of earthquakes and use the information to trigger EO data analysis. We tested the pipeline for almost a year over Japan, an area where earthquake events are frequent, as well as the use of social media in the population. Here, we show the results and discuss the potential development of such procedures. In the future, considering the rapid development and the increase of satellite constellations aimed at global coverage with short revisit times, algorithms of this kind could be used to prioritize satellite acquisitions for the detection of the areas most affected by earthquake damages. IEEE Geoscience and Remote Sensing Letters, 19 ISSN:1545-598X ISSN:1558-0571
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a133d36967c683de72d91ced687f4e7 https://doi.org/10.3929/ethz-b-000538275 Zobrazit plný text záznamu