GEOINT Database Repository

Welcome to the GEOINT Database Repository! This repository is a comprehensive resource designed to help students, researchers, and professionals working in the field of Geospatial Intelligence (GEOINT). It provides a mix of raw and processed geospatial data, tools, scripts for data analysis, and guides to enhance understanding of GEOINT concepts and workflows.

Our goal is to offer hands-on learning opportunities, whether you're a beginner or an expert, to explore and work with geospatial data, conduct data analysis, and implement GEOINT workflows.

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Table of Contents

1. Overview
2. Repository Structure
3. How to Use This Repository
4. Getting Started
   • Prerequisites
   • Setting Up a Virtual Environment
   • Installing Dependencies
   • Running Analysis Scripts
   • Launching the User Interface
5. Contributing
6. License
7. Resources and External Links

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Overview

This repository contains a collection of geospatial data, scripts, tools, and documentation aimed at helping individuals develop their GEOINT skills. It includes a variety of geospatial datasets (e.g., satellite imagery, drone data, and GIS shapefiles) and tools for geospatial analysis, processing, and visualization. The lessons and project guides provide practical applications, enabling users to learn and apply GEOINT concepts hands-on.

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Repository Structure

Here’s an overview of the main sections within the repository:

• data/: Raw and processed geospatial datasets, including satellite imagery, drone data, and GIS shapefiles.
• code/: Python scripts and other tools for geospatial data analysis, processing, and visualization.
• docs/: Documentation, including lessons, project guides, and best practices for working with geospatial data.
• results/: Outputs from data analysis, including maps, visualizations, and reports.
• resources/: Links to external tutorials, GEOINT learning materials, and reference resources.

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How to Use This Repository

Clone the Repository:

To start using the repository, clone it to your local machine:

git clone https://github.com/<your-username>/GEOINT-Database.git
cd GEOINT-Database

Explore the Data:

Browse through the data/ folder to access the raw and processed geospatial datasets. You can also check the metadata/ folder for detailed information about the datasets.

Run Analysis:

Navigate to the code/ folder for scripts related to data processing and geospatial analysis. Customize the scripts based on the data you're working with.

Learn from Lessons and Guides:

Visit the docs/lessons/ and docs/project_guides/ folders for step-by-step lessons and project guides to help you get started with GEOINT. The lessons will guide you through key concepts, tools, and practical exercises.

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Getting Started

Prerequisites

Before using this repository, ensure you have the following installed:

• Python 3.13.1: Download from Python's official website
• Git: Download Git here

Additionally, make sure you have access to a terminal or command prompt for running scripts.

Setting Up a Virtual Environment

To ensure that your project dependencies do not interfere with other Python projects, it's recommended to set up a virtual environment:

1. Navigate to the repository folder:

cd /path/to/GEOINT-Database

2. Create a virtual environment:

python -m venv venv

3. Activate the virtual environment:

   • On macOS/Linux:

   source venv/bin/activate

   • On Windows:

   venv\Scripts\activate

Installing Dependencies

Once the virtual environment is activated, install the required libraries by running:

pip install -r requirements.txt

This command will install all the necessary dependencies, including GeoPandas, Matplotlib, Shapely, GDAL, Rasterio, and other geospatial data handling tools.

Running Analysis Scripts

The repository includes Python scripts for geospatial analysis, which can be found in the code/ directory. To run these scripts:

1. Navigate to the code/ directory:

cd code

2. Run a Python script:

python <script_name>.py

Ensure you have the correct datasets in place, and feel free to modify the scripts to suit your project requirements.

Launching the User Interface

If your repository contains a user interface (UI) for visualizing or interacting with the data:

1. Navigate to the code/ directory (or wherever the UI is located):

cd code/ui

2. Launch the UI application:

python run_ui.py

Follow the on-screen instructions to interact with the application.

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Contributing

We welcome contributions to the GEOINT Database! To contribute, please follow these steps:

1. Fork the repository to your own GitHub account.
2. Create a new branch for your feature or fix.
3. Make the necessary changes and commit them.
4. Submit a pull request to the main repository with a clear description of your changes and their purpose.

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License

This repository is licensed under the MIT License. Please see the LICENSE file for more details.

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Resources and External Links

In addition to the repository contents, we provide valuable external links and resources to support your learning in GEOINT:

• GeoPandas Documentation
• Matplotlib Documentation
• QGIS Documentation
• OpenStreetMap
• Remote Sensing Tutorials

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© 2025 MODAjosh | MIT License