Scanning for Lifeforms

This challenge addresses a pressing global need to track change in biological diversity, which is threatened by human-driven environmental change. Use space agency data to develop innovative ways to detect biological diversity on Earth, track and predict changes over time, and communicate that information to scientists and society.

Team Chlorophyll

Summary

Our project aims to create a dashboard which visualizes the effect that the emission of greenhouse gases has on the chlorophyll concentration in oceans over time.

How We Addressed This Challenge

We developed a prototype dashboard which will be used to visualize (and predict) processed data relating to greenhouse gas emission and chlorophyll concentration in the oceans.


This project is important because chlorophyll is a material which phytoplankton feed off of, and without it the plankton will suffer. Phytoplankton are an essential part of the biodiversity of many ocean ecosystems, as they play a crucial role in many aquatic food chains. We fear that the emission of greenhouse gases may have a correlation with the reduction of chlorophyll in the ocean, thus this dashboard will allow us to monitor these changes over time.


The dashboard will provide various visualizations of this data, and with further development will be able to predict trends of both variables in order to find correlations between the emission of greenhouse gases and the chlorophyll concentration in the oceans. The project can be found here https://znreza.github.io/chlorophyll.github.io/.


We hope to achieve an increase in public awareness for this problem. We believe the dashboard can provide the public with a resource to learn more about the effects their daily greenhouse gas emission may provide. The awareness does not just stop with the public though, we would like this to be a tool that researchers can use while examining chlorophyll levels in the ocean, without having to navigate through complex data sets.

How We Developed This Project

We first found data sets related to the data of interest. With this data set, we processed it with various Python libraries and found new ways to visualize it. Once visualized, we put it on a web page which used HTML Bootstrap framework, and hosted it through GitHub.

How We Used Space Agency Data in This Project

We used two datasets, which we processed and visualized.

The datasets we used were:

Greenhouse Gas Emission Data from CSA SCISAT Satellite

Ocean Color Data from NASA NOAA

Project Demo

Our Slides:

https://docs.google.com/presentation/d/1u8E989zQcM0s7HXjMQpZvguwoUKHakmoV2NSOnLcJuI/edit?usp=sharing


Our Webpage

https://znreza.github.io/chlorophyll.github.io/


Out Git containing Python code:

https://github.com/noahsealy/NASA-SpaceApps-Hackathon-2020-Project

Data & Resources

Greenhouse Gas Emission Data from CSA SCISAT Satellite

Ocean Color Data from NASA NOAA

Tags
#artificial intelligence #oceans #greenhousegasses #chlorophyll
Judging
This project was submitted for consideration during the Space Apps Judging process.