Skip to content

Home

Jump to bottom
MODA - Josh edited this page Jan 13, 2025 · 1 revision

GEOINT Database Wiki

Welcome to the GEOINT Database project! This repository contains a comprehensive collection of tools and scripts designed to assist in the manipulation, analysis, and visualization of geospatial data. It is primarily intended for professionals in Geospatial Intelligence (GEOINT) and related fields, providing essential tools for working with raster and vector data, performing geospatial analysis, and preprocessing data.

Table of Contents

  1. Introduction
  2. Installation
  3. Usage
  4. Directory Structure
  5. Common Use Cases
  6. Output Files
  7. Troubleshooting
  8. Contributing
  9. License
  10. FAQs

Introduction

The GEOINT Database repository provides a suite of Python-based tools for geospatial data analysis, focused on raster and vector data processing, geospatial analysis, and data preprocessing. The tools are designed to assist GEOINT professionals with spatial data management, analysis, and visualization. This collection of scripts enables users to:

  • Perform buffer zone creation, distance calculations, and other geospatial analyses.
  • Preprocess geospatial data, including raster reprojection, conversion between formats, and data cleaning.
  • Integrate multiple datasets into a single, cohesive database for analysis and decision-making.

Key Features

  • Geospatial Analysis Tools: Perform advanced analyses such as buffer creation, slope calculations, and NDVI (Normalized Difference Vegetation Index) calculations.
  • Data Preprocessing Scripts: Tools for converting, merging, cleaning, and rasterizing geospatial data.
  • Graphical User Interface (UI): A simple UI to run geospatial tools interactively without modifying the code.

Installation

System Requirements

To get started with the GEOINT Database project, make sure your system meets the following requirements:

  • Operating System: Windows, macOS, or Linux
  • Python: Version 3.7 or higher
  • Required Libraries: Listed below in the dependencies section.

Cloning the Repository

To get the GEOINT Database repository, clone it to your local machine by running the following command:

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

Installing Dependencies

To ensure all tools and scripts function correctly, install the required dependencies. These dependencies are listed in the requirements.txt file.

  1. Navigate to the code/analysis_tools directory.
  2. Install the necessary libraries using the following command:
pip install -r code/requirements.txt

This will install all required libraries such as geopandas, rasterio, numpy, and others.

Usage

Running the GEOINT Analysis Tools

The geospatial analysis tools are located in the code/analysis_tools directory. These scripts perform various geospatial analyses, such as buffer zone creation, distance calculations, and slope calculations.

Steps to run the tools:

  1. Navigate to the code/analysis_tools folder.
  2. Choose the script corresponding to your analysis (e.g., buffer_analysis.py).
  3. Modify the script if needed to reference your data files.
  4. Run the script:
python buffer_analysis.py

This will generate output results that will be saved in the results/ folder.

Running Preprocessing Scripts

The preprocessing scripts are located in the code/data_preprocessing folder. These scripts prepare raw geospatial data for analysis, such as raster reprojection and shapefile-to-GeoJSON conversion.

Steps to run preprocessing scripts:

  1. Navigate to the code/data_preprocessing folder.
  2. Choose the appropriate preprocessing script (e.g., convert_shapefile_to_geojson.py).
  3. Modify the input/output paths as needed.
  4. Execute the script:
python convert_shapefile_to_geojson.py

Accessing Tools Through the UI

To provide an easier experience, the GEOINT Database includes a simple User Interface (UI). This allows you to run scripts interactively without needing to modify the code.

Steps to use the UI:

  1. Navigate to the code/ui folder.
  2. Launch the UI by running:
python ui_launcher.py

This will open a graphical interface where you can:

  • Choose an analysis or preprocessing tool.
  • Select input files (e.g., shapefiles, raster data).
  • Configure analysis parameters.
  • Run the selected tool and view the results.

Directory Structure

Here is a breakdown of the key directories and files in the project:

.
├── raw_data/               # Unprocessed geospatial datasets
├── processed_data/         # Cleaned and preprocessed data
├── results/                # Output files from the analysis tools
├── code/                   # Scripts and UI program
│   ├── analysis_tools/     # Geospatial analysis scripts
│   ├── preprocessing/      # Data preprocessing scripts
│   ├── ui/                 # UI for interacting with scripts
│   │   └── ui_launcher.py  # Main script to run the UI
│   ├── requirements.txt    # List of dependencies
│   └── README.md           # Project documentation
└── LICENSE                 # License file for the project

Common Use Cases

Here are some examples of how the tools can be used:

  • Urban Planning: Create buffer zones around critical infrastructure to evaluate impact zones.
  • Agriculture: Monitor crop health using NDVI or calculate slope for optimal drainage.
  • Disaster Management: Calculate distances between impacted areas and first responders.
  • Environmental Monitoring: Overlay conservation data with deforestation data for prioritization.

Output Files

Output files from the analysis and preprocessing tools will be stored in the results/ directory. These files may include:

  • Maps: Visualizations of analysis results (e.g., buffer zones, raster calculations).
  • GeoTIFFs: Raster-based outputs from geospatial analysis.
  • GeoJSON: Processed vector data.

Troubleshooting

1. ModuleNotFoundError

  • Problem: Missing Python module.
  • Solution: Ensure all dependencies are installed by running:
pip install -r requirements.txt

2. Permission Denied Error

  • Problem: Permission issues when running scripts.
  • Solution: Check file permissions, and if needed, run as an administrator or with sudo on Unix-based systems.

3. Invalid File Format

  • Problem: Invalid input file format (e.g., non-GeoTIFF raster files).
  • Solution: Verify your files are in the correct format. Use tools like GDAL or QGIS for file conversion.

4. UI Program Not Launching

  • Problem: The UI doesn't launch due to missing libraries.
  • Solution: Ensure GUI libraries like Tkinter or PyQt are installed:
pip install tk

Contributing

We welcome contributions to improve the GEOINT Database project. To contribute:

  1. Fork the repository.
  2. Create a new branch.
  3. Make your changes.
  4. Submit a pull request with a description of your changes.

License

This project is licensed under the MIT License. You may freely use, modify, and distribute the code with proper attribution.

FAQs

Q1: Can I use this tool for my custom geospatial analysis?
A1: Yes! The scripts are designed to be customizable. You can modify the input data paths and parameters for your specific needs.

Q2: How do I add new analysis tools to this project?
A2: To add new tools, simply create a new Python script in the code/analysis_tools directory. Ensure that it follows the existing structure and includes proper documentation.

Clone this wiki locally