Urban sensing via seismic source mapping

This is the repository for the following paper. If you use this implementation, please cite our papers:

• Liu, J., Li, H., Noh, H.Y., Santi P., Biondi, B. & Ratti, C. (2024). Urban Sensing Using Existing Fiber-Optic Networks. https://arxiv.org/abs/2408.14320
• Liu, J., Yuan, S., Dong, Y., Biondi, B., & Noh, H. Y. (2023). TelecomTM: A fine-grained and ubiquitous traffic monitoring system using pre-existing telecommunication fiber-optic cables as sensors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7(2), 1-24.
• Yuan, S., Liu, J., Noh, H. Y., Clapp, R., & Biondi, B. (2024). Using vehicle‐induced DAS signals for near‐surface characterization with high spatiotemporal resolution. Journal of Geophysical Research: Solid Earth, 129(4), e2023JB028033.

Visualization

The GIFs below showcase the seismic source mapping results from September 20th, using different normalization methods.

• Map Normalized in Each 10-Minute Window:

• Map Normalized Over One Day:

For a more comprehensive view, a six-day video encompassing the extended data set is available. You can download this video from the media folder.

File List

Data

Contains all data files used and produced by the project.

• array_pos/: Stores XML and NPZ files related to array positions.
  • DASArray_10LT.xml, DASArray_10V.xml: Configuration files for array settings.
  • cha_save.npz, cha_save_LT.npz: Channel save files.
• vs/: Includes NPZ files for various visualization scripts.
  • const_maps.npz: Construction maps used in visualization.
  • map_region1.npz, map_region2.npz, map_region3.npz: Region-specific map data.
  • mask_region1.npz, mask_region2.npz, mask_region3.npz: Mask files for each region.
  • train_maps.npz, truck_maps.npz: Train and truck map data files.

Media

Stores media files related to the project.

• video_fast.mp4: Fast playback version of the map video.
• video_nonorm_fast.mp4: Non-normalized fast playback version of the map video.

Modules

Python modules for handling data and utilities.

• das_io.py: Module for input/output operations of DAS data.
• utils.py: Utility functions for general operations.

Scripts

Jupyter notebooks and Python scripts for project setup and execution.

• script.ipynb: Script for visualizing seismic source mapping in the three regions.
• script_construction.ipynb: Script for mapping a construction site.
• script_train.ipynb: Script for mapping a train passing event.
• script_truck.ipynb: Script for mapping a truck passing event.

Contact

Feel free to send any questions to:

• Jingxiao Liu