Fixes to strings.xml, new screenshots, app description and README.md

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Arty Bishop committed 2020-11-29 17:10:04 +00:00
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# Look4Sat: Radio satellite tracker
[<img src="https://fdroid.gitlab.io/artwork/badge/get-it-on.png" alt="Get it on F-Droid" height="80">](https://f-droid.org/packages/com.rtbishop.look4sat/)
[<img src="https://play.google.com/intl/en_gb/badges/static/images/badges/en_badge_web_generic.png" alt="Get it on Google Play" height="80">](https://play.google.com/store/apps/details?id=com.rtbishop.look4sat)
[<img src="https://fdroid.gitlab.io/artwork/badge/get-it-on.png" alt="Get it on F-Droid" height="80">](https://f-droid.org/packages/com.rtbishop.look4sat/)
[<img src="fastlane/metadata/android/en-US/images/bmc_button.png" alt="Buy me a coffee" height="80">](https://www.buymeacoffee.com/rtbishop)
Amateur radio and weather satellite tracker and passes predictor for Android.
The very app creation and design is hugely inspired by the open-source [Gpredict](http://gpredict.oz9aec.net/) desktop satellite tracking application, created by [Alexandru Csete, OZ9AEC](https://github.com/csete) and contributors, supported by the [Libre Space Foundation](https://libre.space/).
The [Libre Space Foundation](https://libre.space/) team is also behind the epic [SatNOGS](https://satnogs.org/) project that provides an extremely easy to use [API](https://db.satnogs.org/api/) and [DB](https://db.satnogs.org/) with a huge amount of information about satellites, their telemetry and transmitters, which the app uses under the hood.
For TLE data calculation and passes prediction Look4Sat uses the mavenized version of [predict4java](https://github.com/davidmoten/predict4java) library, created by [David A. B. Johnson, G4DPZ](https://github.com/g4dpz) and [Dave Moten](https://github.com/davidmoten). Thank you guys for your hard work making this lib efficient and easy to use!
Also, I'd like to mention Dr T.S. Kelso for his invaluable contribution to the industry and for his [Celestrak](https://celestrak.com) website, that stores, updates and provides access to TLE data.
The app is built using Dagger2, Retrofit2, Kotlin and Kotlin coroutines, Architecture Components and Jetpack Navigation.
### Open-source amateur radio satellite tracker and pass predictor for Android
<p float="left">
<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/1.png" width="250"/>
<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/2.png" width="250"/>
<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/3.png" width="250"/>
<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/1.png" width="210"/>
<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/2.png" width="210"/>
<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/3.png" width="210"/>
<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/4.png" width="210">
</p>
<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/4.png" width="750">
### Let this app look for satellites for you!
Thanks to the huge database provided by Celestrak and SatNOGS you have access to more than 3000
active satellites orbiting Earth at this very moment. You can search the entire DB by satellite
name or by NORAD catalog number. Track them with ease!
Satellite positions and passes are calculated relative to your location. In order to get reliable
predictions set the observation position using GPS or QTH Locator in the Settings menu.
The application is built using predict4java library, Kotlin, Coroutines, Dagger2, Retrofit2, Moshi,
Architecture Components and Jetpack Navigation. It is now and always will be completely ad-free
and open-source.
## Main features:
* Calculating satellite passes for up to one week (168 hours)
* Calculating passes for the current or manually entered location
* Predicting satellite positions and passes for up to 4 days (96 hours)
* Showing the list of currently active and upcoming satellite passes
* Showing the active pass progress, polar trajectory and transceivers info
* Showing the satellite positional data, footprint and ground track on a map
* Offline first: passes predictions are made offline.
Weekly updates of TLEs and transceivers DB are recommended.
* Custom TLE data import is available via files with TXT or TLE extensions
* Offline first: calculations are made offline. Weekly update of TLE data is recommended.