High-Level Project Summary
Who loves unprocessed data ? Definitely not us and I'm sure that no one does. During the period from 1969 to 1977, NASA sent several spacecrafts to the moon to conduct experiments that included seismic experiments to collect data about moon quakes of all kinds , The data was saved into an archive and no clear visualizations were created out of them and that's were our mission begins to clean, analyze and visualize the data and put them into an easy to use website to draw conclusions out of them.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
Our project uses data from different resources mainly NASA's Planetary Data System which contained NASA's Lunar Seismic data archives as well as Data Archive and Transmission System (DARTS) to obtain the seismic data obtained by Apollo missions,Yosio Nakamura's papers were also vital for that process, the data was sent in tape file format then decrypted into CSVs which required cleaning and wrangling which was done using Microsoft Excel, afterwards we used Python through Jupiter notebook to obtain even more data then analyze them which required the usage of ObSpy which is an open-source project dedicated to provide a Python framework for processing seismological data,after obtaining the required visualizations and analytics we went to our second step which is creating the website which required the usage of some JavaScript packages such as three JS as well as Web GL, We found many resources that helped us make our 3D Globe and then host it.
Space Agency Data
Our main source of data was NASA's Planetary Data System which contained NASA's Lunar Seismic data archives as well as Data Archive and Transmission System (DARTS).
Hackathon Journey
Our hackthon experience was truly remarkable where we had tons of fun, learned, researched and thankfully reached our goal, we faced lots of problems related to the data where we had to do a complete research to understand more about the data and how to extract and analyze them, Our team's skills and experience were all put into context in each step of the hackthon and the mentors provided lots of help, we are truly thankful to NASA for the wonderful experience we had.
References
https://pds-geosciences.wustl.edu/lunar/urn-nasa-pds-apollo_seismic_event_catalog/data/
https://www.nasa.gov/press-release/goddard/2019/moonquakes/
http://www-udc.ig.utexas.edu/external/yosio/PSE/catsrepts/
https://link.springer.com/article/10.1007/s11214-020-00709-3
https://articles.adsabs.harvard.edu//full/1978LPSC....9.3589N/0003596.000.html
http://service.iris.edu/fdsnws/dataselect/1/
https://articles.adsabs.harvard.edu/pdf/1979LPSC...10.2299N
https://2022.spaceappschallenge.org/challenges/2022-challenges/moonquake-map/resources
https://nssdc.gsfc.nasa.gov/misc/documents/b53211.pdf
https://data.darts.isas.jaxa.jp/pub/apollo/pse/
https://www.hq.nasa.gov/alsj/HamishALSEP.html
https://svs.gsfc.nasa.gov/4720
https://github.com/vasturiano/globe.gl/blob/master/example/moon-landing-sites/index.html
Tags
#DataAnalysis #Moon #Moonquakes #DataVisualization #SeismicWaves #ApolloMissions