Space Data Hub — Phase 2
Phase 2 Expansion — 8 Advanced Modules

Advanced Space Intelligence
Sensors · Missions · Projects · AI · Careers

Deep-dive modules for aerospace engineers, AI researchers, hackathon teams, and space enthusiasts. 20 career profiles, 11 space missions, 7 hands-on projects, 8 sensor types.

0Careers
0Missions
0Projects
0Sensors
MODULE 17

Satellite Sensor Encyclopedia

Deep-dive profiles of every major sensor type — working principles, applications, real satellites, and datasets.

MODULE 18

Space Missions Database

Detailed profiles of landmark space missions — objectives, payloads, achievements, and data products.

MODULE 19

Satellite Data Projects

7 complete hands-on projects with datasets, Python code, workflows, and expected outputs — ready to run.

MODULE 20

Aerospace AI Applications

How AI and deep learning are transforming satellites, UAVs, spacecraft, and mission operations.

Digital Twins in Space Systems

A Digital Twin is a real-time virtual replica of a physical space asset — satellite, spacecraft, or ground station. It continuously ingests telemetry and predicts behaviour, failures, and performance degradation.

Architecture
  • Physical asset → sensors → telemetry stream
  • Edge processing → anomaly detection
  • Cloud twin → physics-based simulation model
  • ML layer → predictive maintenance alerts
  • Visualization → 3D model + dashboards
Real Applications
ISRO Satellite HealthBattery, thermal, AOCS telemetry twin
NASA Artemis SLSEngine digital twin for pre-launch
ESA Factory of FutureSpacecraft integration digital twin
Ground Station TwinAntenna pointing, link budget sim

Space Situational Awareness & Debris AI

27,000+
Tracked debris objects
500,000+
Objects >1cm estimated
~5,000
Conjunction alerts/day
AI Techniques Used
  • LSTM networks — Predict debris orbital evolution
  • Transformer models — Multi-object conjunction probability
  • Graph Neural Networks — Constellation collision avoidance
  • Computer Vision — Optical image debris classification
  • Reinforcement Learning — Autonomous avoidance manoeuvre
Key Organizations
  • 18th Space Control Squadron (US) — LeoLabs radar network
  • ESA Space Debris Office — MASTER model, PROOF sim
  • ISRO ISTRAC — Collision avoidance for ISRO satellites
  • ExoAnalytic Solutions — Commercial SSA network
  • Slingshot Aerospace — AI-powered SSA platform
MODULE 21

Career Encyclopedia

20 complete career profiles — daily activities, skills, education, certifications, salary ranges, and hiring organizations.

Career Quick Comparison

RoleDomainGrowthDemand
MODULE 22

Complete Learning Roadmap

From absolute beginner to space data expert — books, courses, certifications, projects, and competitions at every level.

MODULE 23

ISRO Hackathon Success Center

Everything you need to win — problem analysis, team strategy, technical architecture, winning case studies, and downloadable templates.

Previous ISRO Hackathon Problem Themes

72-Hour Winning Playbook

Ideal Team Composition

Judging Criteria Breakdown

Common Mistakes to Avoid

Winning Team Case Studies

Downloadable Templates

MODULE 24

Master Database

Search, filter, sort, and export data across all four catalogs — satellites, missions, software, and careers.

Name ↕Country ↕OperatorLaunch ↕OrbitSensorsTypeStatus
You are in Phase 1 — Learning Hub
Phase 2 — Advanced HERE
Architecture