🌍 Spectron

Spectron is an offline, self-contained desktop application for detecting land cover and vegetation changes using multi-temporal LISS-4 and Sentinel imagery. Designed for simplicity and accuracy, Spectron enables users to select an Area of Interest and dates, then automatically processes satellite data to generate intelligible, false-alarm–resistant change maps.

👥 Team Members

Name	GitHub Profile
Mohd Umar Warsi (Lead)	Link
Mohd Aqdas Asim	Link
Sameer	Link
Saurav Singh	Link

🛠️ Tech Stack

Frontend

• React
• Tailwind CSS
• TypeScript
• Leaflet.js

Backend

• Python
• FastAPI
• NumPy
• Rasterio
• GDAL
• OpenCV

🚀 Features

• 🗺️ AOI Selection Draw or select your Area of Interest directly on the map.

• 🗓️ Date-Based Comparison Compare multi-temporal imagery to detect environmental change.

• 📡 Automated Satellite Image Retrieval Retrieves relevant imagery (LISS-4/Sentinel) based on user input.

• 🚨 Smart Alerts Get notified of significant vegetation or land cover changes.

• 🍃 Change Detection Uses NDVI and spectral band differencing for reliable results.

• 📊 Summarized Reports Generate statistics, summaries, and visual reports of change.

📦 Getting Started

1. Clone the Repository

   git clone https://github.com/MohdAqdasAsim/Spectron
   cd Spectron

2. Setup Backend

   cd backend
   python -m venv .venv
   source .venv/bin/activate  # or .venv\\Scripts\\activate on Windows
   pip install -r requirements.txt
   python3 main.py

3. Setup Frontend

   cd frontend
   npm install
   npm run dev

📌 License

This project is for academic and research purposes only. For licensing or deployment inquiries, please contact the authors.