Free NDVI Vegetation Analysis Tool: No GIS Required

The Normalized Difference Vegetation Index (NDVI) is one of the most widely used remote sensing indicators for assessing vegetation health and land cover. Traditionally, working with NDVI data requires downloading satellite imagery, processing it in GIS software like QGIS or ArcGIS, and writing scripts to extract values. PixelGust makes this process instant.

What Is NDVI?

NDVI measures the difference between near-infrared light (which healthy vegetation strongly reflects) and red light (which vegetation absorbs). The formula is simple:

NDVI = (NIR - Red) / (NIR + Red)

The result is a value between -1 and 1:

NDVI Data in PixelGust

PixelGust provides NDVI data from the MODIS MOD13Q1 satellite product at 250-meter resolution. This is one of the highest-quality global NDVI datasets available, produced by NASA every 16 days.

What you get:

• Current NDVI value: The latest annual mean NDVI for any location, displayed in the Environment panel.
• Historical NDVI trends: Switch to Historical mode to see how NDVI has changed over time with interactive charts showing min, mean, and max.
• Land cover context: Alongside NDVI, PixelGust shows the ESA WorldCover land cover classification, so you can see whether a location is cropland, forest, grassland, or urban.
• Evapotranspiration: MODIS MOD16A2 evapotranspiration data (ET) complements the NDVI analysis by showing water cycling rates.

How to Analyze NDVI on PixelGust

1. Open the dashboard at pixelgust.com/app and click any location on the map.
2. Check the Environment panel. If it is not visible, click the "Environment" button in the panel controls.
3. View current NDVI. The NDVI value (0 to 1) appears under "Vegetation (NDVI)" along with the land cover type.
4. Switch to Historical mode. Click "Environment: Current" and select "Historical" to see NDVI trends over time with min, mean, and max statistics.
5. Analyze a region. Switch to Polygon mode, draw an area, and get zonal NDVI statistics across the entire region.

Use Cases for NDVI Analysis

Agriculture and Crop Monitoring

Farmers use NDVI to monitor crop health throughout the growing season. A decline in NDVI can indicate water stress, disease, or nutrient deficiency. By comparing current NDVI to historical averages, you can identify whether crop conditions are normal or require attention.

Deforestation and Land Use Change

Environmental researchers track NDVI over time to detect deforestation, urban expansion, or ecosystem degradation. A persistent drop in NDVI values over several years signals vegetation loss that may warrant investigation.

Carbon and Biodiversity Assessments

NDVI is a proxy for biomass and carbon sequestration potential. Organizations conducting carbon credit assessments, biodiversity surveys, or ecosystem service valuations frequently use NDVI as a baseline indicator.

Insurance and Risk Assessment

Agricultural insurers use NDVI data to validate crop loss claims and assess drought impact. Historical NDVI baselines help distinguish normal seasonal variation from abnormal vegetation decline.

API Access

Developers can access NDVI data programmatically through the PixelGust REST API:

GET /v1/weather?lat=40.64&lon=22.94

Response includes:
  "ndvi": 0.69,
  "et_mm_year": 485.2,
  "landcover_class": "Tree cover"

Data Sources

NDVI: MODIS MOD13Q1 v061, 250m resolution, 16-day composites aggregated to annual means. Produced by NASA LP DAAC.

Land Cover: ESA WorldCover 2021, 10m resolution classification with 11 land cover classes.

Evapotranspiration: MODIS MOD16A2 v061, 500m resolution, 8-day composites aggregated to annual totals in mm/year.