🌿 Sentinel-2 Vegetation Index Visualizer

Developed by Mohammadreza Narimani, PhD Candidate at UC Davis
Digital Agriculture Laboratory | University of California, Davis

Interactive Vegetation Index Computing

The Sentinel-2 Vegetation Index Visualizer is an interactive Google Earth Engine (GEE) tool that lets users draw a polygon, select a date, and instantly compute dozens of vegetation indices from Sentinel-2 imagery. The app automatically applies cloud masking, overlays indices on RGB basemaps, and displays a dynamic color legend for interpretation.

Developed at the Digital Agriculture Laboratory, UC Davis, this tool supports vegetation monitoring, crop health assessment, and environmental research applications.

✔️ 16+ vegetation indices • Cloud masking • Dynamic legends • Interactive polygon drawing

How to Use the App

1️⃣ Draw Polygon

Use the drawing tools to create a polygon over your area of interest for vegetation analysis.

2️⃣ Select Date

Choose your date of interest to retrieve the corresponding Sentinel-2 imagery for analysis.

3️⃣ Choose Index

Select from 16+ vegetation indices including NDVI, EVI, SAVI, NDCI, and specialized indices.

4️⃣ Analyze Results

View cloud-masked results with dynamic color legends overlaid on RGB basemaps for interpretation.

Sample Output (NDCI)

Example of NDCI (Normalized Difference Chlorophyll Index) showing chlorophyll distribution across farmland near Sacramento, CA.

Mohammadreza Narimani NDCI Normalized Difference Chlorophyll Index vegetation analysis Sacramento California Sentinel-2 satellite imagery Google Earth Engine UC Davis Digital Agriculture Laboratory

NDCI (Normalized Difference Chlorophyll Index) - Sacramento, CA

Try the Interactive App

Explore vegetation indices interactively with the embedded tool below

Technical Information

Data Source

  • Sentinel-2 MSI Level-1C imagery
  • Automatic cloud masking
  • 10-20 meter spatial resolution
  • Google Earth Engine cloud computing platform

Available Vegetation Indices

  • NDVI - Normalized Difference Vegetation Index
  • EVI - Enhanced Vegetation Index
  • SAVI - Soil-Adjusted Vegetation Index
  • NDCI - Normalized Difference Chlorophyll Index
  • ARI - Anthocyanin Reflectance Index
  • GNDVI - Green NDVI
  • MCARI - Modified Chlorophyll Absorption Ratio
  • MSI - Moisture Stress Index
  • NDMI - Normalized Difference Moisture Index
  • NDWI - Normalized Difference Water Index
  • PSSRB1 - Pigment-Specific Simple Ratio
  • SIPI1 - Structure-Insensitive Pigment Index
  • PSRI - Plant Senescence Reflectance Index
  • CHL_REDEDGE - Chlorophyll Red-Edge Index
  • mARI - Modified Anthocyanin Reflectance Index
  • NDMI STRESS - NDMI for Crop Moisture Stress

Reference: Sentinel Hub Custom Scripts

Resources & Links

About the Developer

Mohammadreza Narimani
PhD Candidate, University of California, Davis

Remote Sensing • Digital Agriculture • Google Earth Engine • Vegetation Monitoring

Developing satellite-based tools for vegetation analysis and crop monitoring at the Digital Agriculture Laboratory at UC Davis.

📧 mnarimani@ucdavis.edu
🎓 Google Scholar Profile