Earthquakes: From Twitter Detection to EO Data Processing
Creators
- 1. CERTH-ITI
- 2. WSL-CERC
- 3. Elecnor Deimos
- 4. Terradue
Description
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.
Files
Zenodo_version.pdf
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Additional details
Funding
- INGENIOUS – The First Responder (FR) of the Future: a Next Generation Integrated Toolkit (NGIT) for Collaborative Response, increasing protection and augmenting operational capacity 833435
- European Commission
- CALLISTO – Copernicus Artificial Intelligence Services and data fusion with other distributed data sources and processing at the edge to support DIAS and HPC infrastructures 101004152
- European Commission
- BETTER – Big-data Earth observation Technology and Tools Enhancing Research and development 776280
- European Commission
- EOPEN – EOPEN: opEn interOperable Platform for unified access and analysis of Earth observatioN data 776019
- European Commission