Happy Earth | Data Discovery for Earth Science
Data Discovery for Earth Science
Happy Earth
Summary
Life and natural resources are vital to society around the world, our team aims to bring technology and scientific tools together to address the impact created by climate change, mitigate/avert the damage caused and make a Happy Earth for all. https://www.powtoon.com/c/d1P6QOIlMMx/1/m
How We Addressed This Challenge
What: Our team simplified the process of dataset lookup on internet by devising a solution to guide users to relevant datasets to study specific events (such as natural disasters). Understanding the vulnerability and exposure of a community to a disaster aids in the mitigation, prevention, and management of the disaster, while also providing information to help with response and relief efforts. In collaboration with NASA data, we would like to expedite disaster mitigation and response.
Why: This approach saves time for researchers to look up for the data by providing the data as quickly as possible and safely. Make use of state of art technology and latest tool for live co-ordination with rescue team to help lives.
It's important because: This method will help quickly save people and safely study natural disasters without putting scientists at risk. Repurposing the natural resources is key.
It works by: remotely accessing unsafe sites from a distance and using technology to transmit and store data collected.
We hope to save as many people as we all can during natural disasters with the help of camera on the drone, so we can send right equipment to the site. We also want to reuse the resources as best as we can and look for innovative and efficient solutions for natural disasters.
How We Developed This Project
What inspired: As we experience this Hackathon for first time added with complexity of working virtual, we decided to work on the Data discovery for Earth science. Considering climate change and natural disasters associated, affecting people, health, air, land, and some cases it is not safe for researchers to go to natural disaster site to take samples. Also sometimes it is hard to take best pictures showing as you can with as much information as it can be shown.
Our approach: Combine innovate advanced technology with programming tools to help teams involved in rescue operations
In the above process flow, Satellite (in the center) monitor the sites and send the critical information to researchers/scientist about affected areas, scientist/disaster response team dispatch the high end drones with camera and heat sensors to affected areas; Drones carefully survey the area, collect statistics, sense the humans and take pictures, collect data samples on live feed basis. These pictures are transmitted to rescue operations team to attend the emergency promptly after analyzing the pictures and send the operations team with no further delay.
Our team also would aspire to repurpose the natural resources like excess water from flood areas to drought areas where wild fires are most prone due to dryness and low humidity. The above mentioned process applies in the case of wildfire. Below is the detail of how the drone data is assessed in case of wildfire.
Tools: Drone equipped with camera and tools to collect samples for scientists to research
Coding languages and software: The webpage was made with HTML, Python and CSS. We would like to use Python and for databases we would potentially use SQL and use Microsoft Azure or Amazon Web Services to connect databases with the website.
How We Used Space Agency Data in This Project
We used data from NASA's Earth Data website to understand how natural occurrences can be recorded and sorted. One of the features we particularly found useful was being able to find data by selecting certain keywords and categories which would make finding data more efficient. We decided to implement that feature in our website as well. We also found having a map to show the data to be helpful as well, so we would use it in our website too.
Project Demo
Project Code
Data & Resources
Earth Data:
https://earthdata.nasa.gov/learn/pathfinders/disasters
https://search.earthdata.nasa.gov/search?m=-91.07683721667726!-49.78125!0!1!0!0%2C2
Worldview:
https://worldview.earthdata.nasa.gov/
California's Nightmare Fire Season Continues. (n.d.). Retrieved October 03, 2020, from https://earthobservatory.nasa.gov/images/147363/californias-nightmare-fire-season-continues
Database:
Marktab. (n.d.). Move data to a SQL Server virtual machine - Team Data Science Process. Retrieved October 03, 2020, from https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-sql-server-virtual-machine