| Autor: |
Hossaki, Vitor Y., Seron, Wilson F. M. S., Negri, Rogério G., Londe, Luciana R., Tomás, Lívia R., Bacelar, Roberta B., Andrade, Sidgley C., Santos, Leonardo B. L. |
| Předmět: |
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| Zdroj: |
Geosciences (2076-3263); Apr2023, Vol. 13 Issue 4, p111, 11p |
| Abstrakt: |
Floods are among the most frequent and costly rainfall-triggered disasters. In this context, geospatial content generated by non-professionals using geolocated systems offers the possibility of monitoring environmental events. This study shows a statistical correlation between in situsensors, radar, Twitter posts, and flooding events. Furthermore, we observed in this study that flooding-related keywords are statistically more significant on flooding days than on non-flooding days and reinforce that Twitter can be employed as a complementary data source for flood management systems. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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