Antarctic Iceberg Tracker

A Python tool for tracking large icebergs in Antarctic waters using satellite data from NASA's Scatterometer Climate Record Pathfinder (SCP).

Features

• Real-time Data: Scrapes latest iceberg positions from NASA SCP website
• Location Tracking: Precise latitude/longitude coordinates with DMS conversion
• Interactive Map: Generate beautiful web-based visualizations with movement animations
• GitHub Pages Deployment: Automatically deploy to a live website
• Data Analysis: Summary statistics and iceberg movement tracking
• JSON Export: Save data in structured format for further analysis
• Simple CLI: Easy-to-use command-line interface

Live Demo

🌐 View the live Antarctic Iceberg Tracker: https://joel-hanson.github.io/Iceberg-locations/

The live site is automatically updated daily with the latest iceberg data and includes interactive features.

Quick Start

Installation

```bash

Clone the repository

git clone https://github.com/Joel-hanson/Iceberg-locations.git cd Iceberg-locations

Install dependencies

pip install -r requirement.txt ```

Usage

```bash

Collect latest iceberg data

python main.py scrape

Show data summary

python main.py info

Generate interactive map

python main.py map

View iceberg movement animations

python main.py animations ```

Commands

scrape - Collect Data

Fetches the latest iceberg position data from NASA SCP website and saves it to iceberg_location.json.

bash python main.py scrape

info - Data Summary

Displays statistics about the collected iceberg data including number of icebergs, observation dates, and data coverage.

bash python main.py info

Example output:

Antarctic Iceberg Data Summary: • 37 observation dates • 53 current icebergs • 97 unique icebergs tracked • 1,832 total records • Latest data: 11/11/21

map - Interactive Visualization

Generates an interactive HTML map showing iceberg positions with clickable markers.

bash python main.py map

Opens output/iceberg_map.html in your browser with:

• Interactive Antarctica-focused map
• Clickable iceberg markers with details
• Movement animation links in each popup
• Real-time statistics display

animations - Movement Animations

Shows URLs to animated GIF files demonstrating historical iceberg movement patterns.

bash python main.py animations

Example output:

``` Iceberg Movement Animations: Data from: 07/02/25 Note: Animations show historical movement patterns from NASA SCP

A23A | N/A, 39 7'W | https://ftp.scp.byu.edu/data/misc/iceberganimations/a23amovie.gif C18B | N/A, 78 17'E | https://ftp.scp.byu.edu/data/misc/iceberganimations/c18bmovie.gif ```

Copy the URLs to view GIF animations showing iceberg drift patterns over time.

Project Structure

Iceberg-locations/ ├── main.py # Main entry point ├── src/ # Source code │ ├── __init__.py # Package initialization │ ├── iceberg.py # Core scraper script │ ├── cli.py # Command-line interface │ ├── config.py # Configuration settings │ └── tests.py # Test suite ├── data/ # Data storage │ └── iceberg_location.json # Scraped data (generated) ├── output/ # Generated outputs │ └── iceberg_map.html # Interactive map (generated) ├── docs/ # Documentation ├── assets/ # Static assets ├── requirement.txt # Python dependencies ├── README.md # This file ├── LICENSE # MIT License ├── .github/workflows/ # GitHub Actions ├── Dockerfile # Docker container setup ├── Makefile # Build automation └── setup.py # Package installation

Data Source

Data is collected from the NASA Scatterometer Climate Record Pathfinder (SCP) database:

Current Data: https://www.scp.byu.edu/data/ice_tracking/antarctic.html Movement Animations: https://ftp.scp.byu.edu/data/misc/iceberg_animations/

The animation files show historical movement patterns of icebergs over time, providing valuable insights into iceberg drift patterns in Antarctic waters.

Data Format

json { "11/11/21": [ { "iceberg": "a23a", "latitude": -75.42, "longitude": -39.83, "dms_latitude": "75°25'S", "dms_longitude": "39°50'W", "recent_observation": "11/11/21" } ] }

Development

Local Development Server

```bash

Navigate to your project root

cd /path/to/Iceberg-locations

Generate the map first

python main.py map

Start a simple HTTP server

python -m http.server 8000

Visit: http://localhost:8000/output/iceberg_map.html

```

License

MIT License - see LICENSE file for details.