Home Planet at Your Fingertips
Linked-Astro
Summary
"Linked Astro "is a user - friendly application used for discovering, visualising and analysing NASA Earth data for the best obeservation and monitoring our home planet. Discover the world in a click.
How We Addressed This Challenge
Our app addressed the challenge by its various options that provides a visualise science data to all phenomena that accure on earth; So this will gives the user access to the data relevant to their needs.,by taking its data from NASA Earth datasets to present it to the user in a simple and interactive way. We developed an interactive app that allows user to observe, discover and visualise space through his phone . It is easy to use; provides you with the certain information in moments. It informed you about natural factors like weather and temperature , disastor on earth and phenomena happening in space. Along with this it provides assistance system which takes your interests and notifies you whenever something happens that you may want to see. In addition to that the app has an innovative feature at night where you can take a picture of the sky and it gives you the names of all stars on it with information about it . This app collects data from NASA data centre to give the user the information . Through this app we are hope to make these data accessible for everyone to increase people's interest in space for a better understanding to the world around us .
How We Developed This Project
It is not easy, but it is important to carefully choose the best challenge which every member of the team can express and share their ideas, help improve their productivity and create a unique and exclusive adventure just for your team. How to choose the right approach for a project is a large topic in itself. The methodology you choose can depend on many things, including the structure , location of the project team and the developpment of the project(the finale result)
We used:
Python- To Build R-CNN model to classify and make segmentation on Stars
- To build CNN model to detect and Name stars from Earth by only taking a pic with the phone app
- API and some scripts to provide data set for users and researchers
Java- To build mobile-application
Matlab and python to visualize Data
We enjoyed * - *
How We Used Space Agency Data in This Project
We used NASA data to provides various services for the user as giving weather in any region in the world and informe him about all phenomena happening in space as well as in earth ; in addition to this we used pictures generated by sattilite to visualise these data and make it more understandable for the user.
satellites helped us to train AI model.
APIs helped us to provide data sets for users.
Project Demo
Project Code
Data & Resources
ftp://data.asc-csa.gc.ca/users/OpenData_DonneesOuvertes/pub/RCM/RCM/
https://www.eorc.jaxa.jp/AMSR/viewer/index.html
https://www.eorc.jaxa.jp/ptree/index.html
https://earthdata.nasa.gov/earth-observation-data/near-real-time
https://www.sentinel-hub.com/spaceapps_challenge/
https://open.canada.ca/en/open-data
https://www.sentinel-hub.com/spaceapps_challenge/
https://disc.gsfc.nasa.gov/datasets?keywords=GPM%20IMERG%20Early%20Precipitation%20L3%20Half%20Hourly%200.1%20degree%20x%200.1%20degree%20V06&page=1
https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+API+for+Developers
https://www.hiu.state.gov/data/
https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html
https://github.com/WorldWindEarth/worldwindjs
https://worldwind.arc.nasa.gov/web/get-started/
https://files.worldwind.arc.nasa.gov/artifactory/apps/web/examples/WMTS.html
https://github.com/NASAWorldWind/WebWorldWind/blob/develop/examples/WMS.js