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.

AUTOMATIC DETECTION OF HAZARDS THROUGH REMOTE SENSING CAMERA

Summary

There are lots of hazards present on our earth, which causes harmful effects on our life and earth. Our idea implies that hazards can be detected through the satellite with the help of a remote sensing camera. In this process, the satellite camera can detect the hazards from the outer space, and then it will give a signal to the server on the earth

How We Addressed This Challenge

We have developed a idea which implies the automated detection of hazards through remote sensing camera.

How We Developed This Project

We have tried our best and tried to conclude the result . We faced some techanical issues and and the code provided by the resources.

How We Used Space Agency Data in This Project

IBM,ARURE,Meteomatics

We have used the data from these resources ,but unable to run them due to missing python packages in colab.

Project Demo

https://github.com/prakashgeca/SpaceSirohi#spacesirohi

Data & Resources

IBM,ARURE,Meteomatics

Judging
This project was submitted for consideration during the Space Apps Judging process.