""" Satellite Types — Mission Control Dashboard ============================================= Each satellite category has its own unique animated scene: - Navigation → GPS triangulation on a world map - Communication → Data-flow network between ground stations - Earth Observation → Top-down terrain scan with image strips - Weather → Atmospheric cloud/rain/temperature visualisation - Science → Deep-space telescope view (nebula zoom) - Defense → Tactical radar sweep with blips """ import streamlit as st import streamlit.components.v1 as components _SATTYPES_HTML = r"""

🛰️ Satellite Missions

Select a mission type above
to explore its animation.

Mission Control — choose a category
""" def render(): """Render the satellite missions / types dashboard page.""" st.markdown("## 🛰️ Satellite Missions — Types & Applications") st.markdown( "Explore **six categories** of satellite missions through unique animated scenes. " "Click a tab to switch between navigation, communication, observation, weather, " "science and defense — each with its own visual story." ) st.divider() components.html(_SATTYPES_HTML, height=720, scrolling=False) # ── Educational content below ── st.divider() st.markdown("### 📋 Mission Comparison") st.markdown(""" | Category | Orbit | Altitude | Key Band | Examples | |:---|:---:|:---:|:---:|:---| | 🧭 **Navigation** | MEO | 20 200 km | L-band | GPS, Galileo, GLONASS, BeiDou | | 📡 **Communication** | GEO / LEO | 550 – 36 000 km | C / Ku / Ka | Starlink, Intelsat, SES | | 📸 **Earth Observation** | LEO (SSO) | 500 – 800 km | X-band | Sentinel, Landsat, Planet | | 🌦️ **Weather** | GEO / LEO | 800 – 36 000 km | L / Ka | Meteosat, GOES, Himawari | | 🔭 **Science** | Various | Variable | S / X / Ka | JWST, Hubble, Gaia | | 🛡️ **Defense** | LEO / GEO / HEO | Variable | UHF / EHF | SBIRS, WGS, Syracuse | """) col1, col2 = st.columns(2) with col1: with st.expander("🧭 Navigation Satellites"): st.markdown(""" **How GNSS works:** Each satellite broadcasts its precise position and exact time (from onboard atomic clocks). A receiver picks up signals from $\\geq 4$ satellites and solves the position equations: $$d_i = c \\cdot (t_{\\text{rx}} - t_{\\text{tx},i})$$ Where $d_i$ is the pseudorange to satellite $i$, $c$ is the speed of light, and $t_{\\text{rx}}$ is the receiver clock time. With 4+ satellites the receiver solves for $(x, y, z, \\Delta t)$ — 3D position plus its own clock error. **Key systems:** - **GPS** (USA) — 31 sats, L1 / L2 / L5 - **Galileo** (EU) — 30 sats, E1 / E5a / E5b / E6 - **GLONASS** (Russia) — 24 sats - **BeiDou** (China) — 35+ sats """) with st.expander("📡 Communication Satellites"): st.markdown(""" **Evolution:** 1. **1960s** — Early Bird: 240 voice channels 2. **1980s** — Large GEO: thousands of transponders 3. **2000s** — HTS: spot beams, frequency reuse 4. **2020s** — Mega-constellations (Starlink 6 000+ LEO) **Shannon connection:** $$C = B \\cdot \\log_2\\!\\left(1 + \\frac{C}{N}\\right)$$ A GEO satellite at 36 000 km suffers ~50 dB more path loss than LEO at 550 km, but compensates with larger antennas, higher power and advanced modulation (DVB-S2X, 256-APSK). """) with st.expander("🌦️ Weather Satellites"): st.markdown(""" **Two approaches:** 1. **GEO** (Meteosat, GOES, Himawari) — continuous monitoring, full disk every 10–15 min, 16+ spectral bands. 2. **LEO polar** (MetOp, NOAA) — higher resolution but 2 passes/day, microwave sounders penetrate clouds. **Data volume:** GOES-16 generates ~3.6 TB/day of imagery. """) with col2: with st.expander("📸 Earth Observation Satellites"): st.markdown(""" **Imaging technologies:** | Type | Resolution | Use | |:---|:---:|:---| | **Optical** | 0.3 – 1 m | Urban mapping, defence | | **Multispectral** | 5 – 30 m | Agriculture (NDVI) | | **Hyperspectral** | 30 m, 200+ bands | Mineral detection | | **SAR** | 1 – 10 m | All-weather imaging | | **InSAR** | mm displacement | Ground subsidence | **Sun-Synchronous Orbit (SSO):** ~98° inclination ensures consistent solar illumination for temporal comparison. """) with st.expander("🔭 Science & Exploration"): st.markdown(""" | Mission | Location | Purpose | |:---|:---:|:---| | **JWST** | L2 (1.5 M km) | IR astronomy | | **Hubble** | LEO (540 km) | Optical / UV | | **Gaia** | L2 | 3D map of 1.8 B stars | | **Chandra** | HEO | X-ray astronomy | **Deep space challenge:** Voyager 1 at 24 billion km transmits at ~160 **bits**/s with 23 W through NASA's 70 m DSN antennas. """) with st.expander("🛡️ Defense & Intelligence"): st.markdown(""" **Categories:** - **MILCOM** — WGS, AEHF, Syracuse (secure links, EHF) - **SIGINT** — intercept electromagnetic emissions - **IMINT** — high-res optical/radar reconnaissance - **Early Warning** — SBIRS IR missile detection from GEO - **ELINT** — radar system characterisation **Resilience:** frequency hopping, spread spectrum, radiation hardening, satellite crosslinks. """)