Voyager| Automated Detection of Hazards

Automated Detection of Hazards

Countless phenomena such as floods, fires, and algae blooms routinely impact ecosystems, economies, and human safety. Your challenge is to use satellite data to create a machine learning model that detects a specific phenomenon and build an interface that not only displays the detected phenomenon, but also layers it alongside ancillary data to help researchers and decision-makers better understand its impacts and scope.

Automated Borewell Detection System

Summary

TEAM VOYAGER proposes an idea of integrating satellite data obtained from RADARSAT-2 SAR and GRACE-FO to design an automated borewell detection system. Potential borewell sites can be located by integrating data obtained from both satellites. Therefore, any abandoned/unused borewells that could possibly be a threat to human safety can be identified. Hence, proper measures can be taken by the authorities to prevent more innocent children from becoming victims of abandoned borewells

How We Addressed This Challenge

We have developed an automated bore well detection system which can be used to identify abandoned or unused bore wells in India which have been snatching innocent lives of young children. With the implementation of this system, we hope to prevent any further mishaps which has been happening in India recently.

How We Developed This Project

The recent death of a young boy, Sujith who fell victim to one of these deadly abandoned bore wells in India was our inspiration to develop this project. We searched for suitable satellites which would provide the datasets that we required (soil monitoring, Earth's gravity field monitoring). We has an idea to integrate datasets obtained from 2 different satellites for our mission.

How We Used Space Agency Data in This Project

The data obtained from space agencies played a very crucial part in our mission. We planned to integrate data obtained from RADARSAT-2 SAR and GRACE-FO. The integrated data from both satellites will help us to identify potential sites of bore well. RADARSAT-2 SAR will provide us data on soil's moisture and texture along with satellite imagery while GRACE-FO will measure Earth's Gravity Field which is influenced by underground water content inside bore well.

Project Demo

https://drive.google.com/file/d/1wwvi6YBYOoJENiPZo-Z1SKkNzY4x3w4l/view?usp=sharing

Data & Resources
  1. https://open.canada.ca/data/en/dataset/09c983d4-6081-4896-9e29-5cda0125804f
  2. https://grace.jpl.nasa.gov/data-analysis-tool/
Judging
This project was submitted for consideration during the Space Apps Judging process.