[REPOSITORY IS UNDER CONSTRUCTION,but feel free to check out scripts]

Detection and Prioritization Algorithm

Welcome to the Detection and Prioritization Algorithm repository! This project comprises various Python scripts designed to compute Synthetic Aperture Radar (SAR) data changes and remap them to visualize drastic changes. Our tool is simple yet powerful, providing quick and actionable insights into significant environmental events.

Key Features

• Efficient SAR Data Processing: Our scripts efficiently process SAR data to detect significant changes in the environment.
• Visualization of Drastic Changes: The tool remaps the processed data to visualize areas with drastic changes, making it easy to identify and prioritize affected regions.
• Wide Range of Applications: From monitoring natural disasters like bushfires and forest fires to other environmental changes, our tool shows promising results in various scenarios.

Applications

Australian Bushfires

Our tool has been used to analyze the devastating Australian bushfires, helping to quickly identify the most affected areas and prioritize emergency response efforts.

New Jersey Forest Fires

Similarly, our tool has shown effective results in monitoring and assessing the impact of forest fires in New Jersey.

Getting Started

Prerequisites

Ensure you have the following installed:

• Python 3.x
• Required Python packages (listed in requirements.txt)

Installation

1. Clone the repository:

git clone https://github.com/your-username/detection_and_prioritization_algorithm.git

2. Navigate to the project directory:

cd detection_and_prioritization_algorithm

3. Install the required packages:

pip install -r requirements.txt

Usage

1. Prepare your SAR data in the appropriate format.
2. Run the main script to process the data and generate visualizations:

python main_script.py

3. Check the output directory for the generated visualizations.

Example

Here is an example of how to use the tool with a sample SAR dataset:

python main_script.py --input data/sample_sar_data --output results/visualizations

Contributing

We welcome contributions to enhance the functionality of this tool. Please follow these steps to contribute:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Commit your changes and push the branch to your fork.
4. Submit a pull request with a detailed description of your changes.

Thank you for using our Detection and Prioritization Algorithm!