SAR-EQViz is a state-of-art digital platform designed to visualize the aftermath of seismic events and combines a broader and close-up view of the area affected. This solution came out as a response to the need of effectively communicating the aftermath of the Moroccan 2023 Earthquake.

We developed a website using HTML, CSS, Javascript and Bootstrap, hosted by Godaddy that merges SAR data with high resolution drone scans. The SAR data, collected from the ESA’s Sentinel-1 satellite, is treated to remove noise, apply radiometric calibration, terrain flattening, despeckle the image etc.. to get the final converted SAR unit, this process gives a larger scale and perspective of the earth displacement. Completing this, the drones series are equipped with advanced LiDar sensors that 3D models the affected area detecting the smallest cracks and shifts that can go unnoticed with incredible accuracy and consistency.

We focused on giving our users an interactive interface, where they can seamlessly switch between the SAR view and the drones view to offer an insightful look.

The importance of this project is its accessibility, we ensured that this project is open source, enabling users to access the platform from anywhere, at anytime and develop or improve any function, because the SAR-EQViz is more than just a visualization tool, it’s a bridge between raw, complex data, and the very real human stories of those affected by seismic events. This tool is essential for researchers, civil engineers, architects and decision makers, and it also serves as an educational platform

With this project, we aspire to revolutionize how post-seismic events are understood and addressed in Morocco, by simplifying the complex data into comprehensive images and interactive tools, enhancing the reconstruction and rehabilitation planning and making it faster, precise and more effective. The last seismic event showed how Moroccans promoted community resilience. However, as FstTeam, we want to raise awareness about the importance of preparedness and help our decision makers to take the right actions at the right time.

In the Shadow of our darkest moments, the flicker of hope burns brightest

Passive Sensors vs Active Sensors

Passive sensors capture data without directly interacting with the environment, while active sensors, like LiDar, emit signals and measure their reflection to create detailed 3D models.

Ground-Level Destruction Visualization

This image provides a detailed representation of the area with river systems, land formations, and urban structures, with colour graduations that indicate varying levels of impact.

Mission Planner Interface

This digital interface shows real-time telemetry data, flight metrics, and an aerial map overlay. It heps us to monitor the criticla flight parameters before uploading the data to the website

Media

Website :
Drone Prototype : https://drive.google.com/file/d/1M5EN2MY6cmYX1-8cMpwSUMlDS2xbgoVS/view?usp=sharing
3D scans : https://drive.google.com/file/d/1MXsTGobmZ_HX6WpHXEMKzgwK7xpN3IIy/view?usp=drive_link

2023 NASA Space Apps Challenge

FstTeam