Satellite Data Repository

This repository contains the orbital data and characteristics for space objects as analyzed in our research.

Data Contents

Satellite Catalog and Characteristics

• space_object_catalog.json: The primary augmented catalog containing orbital parameters and technical characteristics (mass, dimensions, shape) from Jonathan McDowell's GCAT.
• ucs_satellite_db.xlsx: The Union of Concerned Scientists Satellite Database for operational context.

Maneuver and Re-entry Analysis

• maneuvers_report.csv: Summary report of detected maneuvers for ~41,000 satellites (2020-2025).
• maneuver_details.csv: High-resolution maneuver events detected using streaming delta-state architecture.

Conjunction and Risk Data

• hi_fi_conjunction_results.csv: Results of high-fidelity all-on-all conjunction screening.
• integrated_hazard_5year_hifi.csv: 5-year hazard projections for various orbital regimes.
• integrated_hazard_5year_hifi_raan175.csv: Hazard analysis for the optimized 175° RAAN configuration.

How to Access the Data

Python Access

The primary catalog is stored in JSON format for easy parsing:

import json

with open('space_object_catalog.json', 'r') as f:
    catalog = json.load(f)

# Example: Accessing technical specs for a specific NORAD ID
sat_id = "18960"
if sat_id in catalog:
    specs = catalog[sat_id]
    print(f"Name: {specs.get('name')}")
    print(f"Mass: {specs.get('dry_mass')} kg")

Maneuver Analysis

Maneuver data is provided in CSV format, suitable for pandas or Excel:

import pandas as pd

df = pd.read_csv('maneuver_details.csv')
# Filter for significant maneuvers (e.g., > 1 m/s)
significant = df[df['delta_v'] > 1.0]

Research Context

This data supports the development of the Enhanced SGP4 Propagator and Mission Planning strategies for high-congestion orbital shells.