SatFlora Django Project

Table of Contents

• Introduction
• Features
• Installation
• Usage
• License

Introduction

The Django Land Cover Classification Project is a web application designed for land cover classification using multispectral images. This project allows users to select a Region of Interest (ROI) and analyze the evolution of land cover over time based on the provided multispectral images.

The application provides an intuitive and interactive interface to assist users in exploring land cover changes within the selected region. By utilizing advanced image processing and machine learning algorithms, it generates maps and statistics, providing valuable insights for environmental studies, urban planning, and agriculture.

Features

• User-friendly web interface for selecting ROIs on the map.
• Supports uploading and management of multispectral image datasets.
• Automatic land cover classification using state-of-the-art machine learning models.
• Visualization of land cover changes over time using interactive maps.
• Statistical analysis of land cover evolution with graphs and charts.
• User authentication and authorization for secure access to datasets and results.
• Exporting of classification results and statistics for further analysis.

Installation

Follow these steps to set up the Django Land Cover Classification Project on your local machine:

1. Clone the repository:

   git clone https://github.com/jams01/django_SatFlora.git
   cd django_SatFlora

2. Create a virtual environment and activate it (optional but recommended):

   python -m venv env
   source env/bin/activate   # On Windows: env\Scripts\activate

3. Install the dependencies

   pip install -r requirements.txt

4. Create a file .env into the folder django_SatFlora with your database parameters

   DB_NAME=<database-name>
   DB_USER=<database-user>
   DB_PASSWORD=<database-pass>
   DB_HOST=<database-host>
   DB_PORT=<database-port>
   

5. Create a file firebase_credentials.json in the root directory and place your Firebase configuration.

6. Perform databse migration

   python manage.py migrate

7. Create a user in firebase an then a user in django and set the username to the UID given in firebase:

   python manage.py createsuperuser

8. Run the server

   python manage.py runserver

Usage

1. Under construction

LICENSE

The SatFlora is licensed under the MIT License. You are free to modify and distribute the codebase as per the terms of the license.