Vegetation Health Analysis System

This application analyzes satellite imagery to generate comprehensive vegetation health reports.

Setup

1. Place your company logo in the 'assets' directory as 'logo.png'
2. Install dependencies using: pip install -r requirements.txt
3. Run the application: streamlit run app.py

Usage

1. Upload Sentinel-2 satellite images (RGB, SWIR, NIR)
2. Set the image acquisition date and location name
3. Process images to calculate vegetation indices
4. View the results and download a comprehensive PDF report

Required Data

• RGB Image (True Color): 3-band image containing Red, Green, Blue bands
• SWIR Band: Single-band Short-Wave Infrared image
• NIR Band: Single-band Near-Infrared image

Supported Indices

• NDVI (Normalized Difference Vegetation Index)
• NDMI (Normalized Difference Moisture Index)
• NDWI (Normalized Difference Water Index)
• MSAVI (Modified Soil-Adjusted Vegetation Index)
• CWSI (Crop Water Stress Index)
• EVI (Enhanced Vegetation Index)