Buy it Crash it| Data Discovery for Earth Science

Awards & Nominations

Buy it Crash it has received the following awards and nominations. Way to go!

Global Finalist

Data Discovery for Earth Science

Websites like the NASA Earth Observatory showcase the many uses of satellite data to highlight interesting natural events. International partner instruments on NASA satellites such as Japan’s ASTER instrument and Canada’s MOPITT instrument, both onboard the Terra satellite, are also included as part of the Observatory. This challenge will ask you to devise a tool or technique to guide users to relevant datasets to study specific events.

EDO(Earth Dataset Odyssey) system.

Summary

There are more than 7,000 datasets on NASA Earthdata Search official website.

How We Addressed This Challenge

What did you develop?

An Earth system.


Why is it important?

There are more than 7,000 datasets on NASA Earthdata Search official website.


What does it do?

1. EDO lists NASA Earth Observatory website


2. EDO shows all Earth datasets


How does it work?

As citizen


What do you hope to achieve?

An easy-to-use EDO

How We Developed This Project

What inspired your team to choose this challenge?

As citizen scientists


What was your approach to developing this project?

We provide EDO (Earth Dataset Odyssey)


What tools, coding languages, hardware, software did you use to develop your project?

Node js, Javascript...


What problems and achievements did your team have?

EDO has provided a complete and easy-to-use interface

How We Used Space Agency Data in This Project

By using NASACRM

Project Demo

https://drive.google.com/file/d/1x_qeUf2P5QO055tw9f1-H-UKFrqMpy1f/view?fbclid=Iw AR2sXEx6KCqdl7vsMwNP7EHyJToUFY4DRl94CcUwDs7ht0vpG3vRCbgSiaE

Project Code
Data & Resources

[7] NASA Earthdata CMR Search, https://cmr.earthdata.nasa.gov/search


[8] NASA Earth Observatory, https://earthobservatory.nasa.gov/


[9] NASA Earthdata Search, https://search.earthdata.nasa.gov/search

Tags
Search Engine, Recommender system, Earth data, Earth Science, Machin Learning, Natural Language Processing
Judging
This project was submitted for consideration during the Space Apps Judging process.