CapiCosmos_2.0 - Space Apps Challenge

CapiCosmos_2.0| 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.

Easy Data

Summary

In order to optimize the incoming data from satellites, it is possible to use machine learning to compile and redirect the informations to scientists, collaborating in the strategies to avoid the damages caused by hazards.The following project would develop an artificial intelligence to translate the incoming data from several sources (NASA, ESA, JAXA, and so forth) using an unique and simple interface, which contains a map sorted by location, intensity, time and perspectives for each hazard.

How We Addressed This Challenge

We designed an artificial intelligence to translate several data sources assuring safe and simplified information in one single place. It is crucial to develop a toll where both scientists and researchers could easily access data, but also manipulate and plan the following strategies to mitigate its negative effects in society.

How We Developed This Project

Regarding the provided sources, we found quite difficult to read and analyse the data, most of it, due to how the following informating is disposed. To design such feature, we intended to use python and javascript as part of the back-end application, as well as NLU, Machine Learning, RedisAI and dynamic maps generator. The API connections would be made using different modules to handle the incoming data

How We Used Space Agency Data in This Project

All the project was based in the data given by the contest itself.

Project Demo

https://www.youtube.com/watch?v=_Lc0RBiZ2ds&feature=youtu.be

Data & Resources

https://docs.sentinel-hub.com/api/latest/user-guides/transition/

http://apiadvisor.climatempo.com.br/doc/index.html

token: f50e326b9b1b99f3a7a231d6daacb43d

Judging

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