Satellite Position

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By carter383 | Updated hace un mes | Science
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README

Satellite Position API Documentation

Overview

The Satellite Position API delivers accurate, real-time data for satellite positioning, specifically tailored for applications requiring precise orbital details. This API enables efficient tracking of satellite locations, trajectories, and forecasted positions. Designed for reliability and simplicity in integration, it is perfectly suited for sectors such as telecommunications, meteorology, and aerospace.

Key Features

  • Real-Time Updates: Access live satellite positioning to maintain up-to-date tracking.
  • Trajectory Forecasting: Predict satellite paths with high accuracy for future planning and analysis.
  • Broad Industry Applications: Ideal for telecommunications, weather forecasting, and space exploration, among others.
  • User-Friendly: Easy to integrate into existing systems with a straightforward request/response format.

Getting Started

To utilize the Satellite Position API, you’ll need to make HTTP requests to our endpoints. Below is an example using Python to fetch the current position of a satellite.

Python Example

import requests

# API endpoint
url = "https://satellite-position.p.rapidapi.com/TLE_Calc"

# Parameters
querystring = {
    "tle1": "1 54157U 22141A   24041.75208967  .00002217  00000-0  15730-3 0  9998",
    "tle2": "2 54157  53.2168 176.6899 0001251  88.9979 271.1157 15.08847792 71298",
    "timestamp": "1713685356"
}

# Headers
headers = {
    "X-RapidAPI-Key": "YOUR_API_KEY_HERE",
    "X-RapidAPI-Host": "satellite-position.p.rapidapi.com"
}

response = requests.get(url, headers=headers, params=querystring)

# Output the response
print(response.json())

Example Response

{
    "lat": 3.388884475193706,
    "lon": 71.66878413503449,
    "alt": 539.6140178470403
}

Integration Tips

  • Security: Replace "YOUR_API_KEY_HERE" in the header with your actual API key to ensure secure access.
  • Data Handling: Use the JSON response for visualization, monitoring, or analytical purposes.
  • Error Handling: Implement robust error handling to manage potential issues during API calls.

For more information or assistance, please visit our documentation website or contact our support team.

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