mckero
f9250ec1f1
Addresses three review findings: 1. Coordinates now come straight from settingsRepo.stationPosition in the screen (collectAsStateWithLifecycle) — the exact same StateFlow the Settings page shows. Previously a separate ViewModel re-derived them, and it could lag behind the Settings page (user: '设置页更新了站位但漫游页死活不更新'). With the shared source the two pages can never disagree. RoamingViewModel removed; state derivation moved to RoamingState.fromPosition(). 2. Red marker placement ported faithfully from the QTH定位器 app: it is driven by the 3rd character pair of the 8-char locator (the 'ih' in OL42ih45), mapped to a 0..1 fraction (lon a=west..x=east, lat inverted a=south..x=north), then scaled to the actual center-cell size. The grid now uses the reference proportions (columns 21.4/56.2/21.4, rows 31.5/35.9/31.7) and fills the screen, so the marker lands accurately on any device. 3. Workflow now uploads a versioned APK (look4sat-<version>.apk instead of look4sat.apk). Also: Settings 'Other' card rows got vertical spacing (Arrangement.spacedBy) so the new roaming toggle is not glued to the night-mode row.
Look4Sat: Satellite tracker
Radio satellite tracker and pass predictor for Android, inspired by Gpredict
Track satellite passes with ease!
Thanks to Celestrak and SatNOGS you have access to over 9000 active satellites.
You can search the entire database by NORAD Catalog Number or the satellite's name.
Orbital positions and passes are calculated relative to your location.
To get reliable data make sure to set the station position via the app Settings.
The application is built using Kotlin, Coroutines, Jetpack Compose and Navigation.
It is now and always will be completely ad-free and open-source.
Main features:
- Predicting satellite positions and passes for up to 10 days
- 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 the map
- Custom TLE satellite data import is available via Three Line Element .txt files
- Offline first: calculations are made offline. Weekly TLE data update is recommended.