Images produced per pass
Leaf generates 25 images for each satellite pass over a field:
PNG files have no fixed resolution because they are upscaled 800% for display.
NDVI output formats
Leaf produces three NDVI PNG variants, each useful for different purposes:- NDVI_relative — Scales the color ramp between the minimum and maximum values of that specific image. Good for seeing variation within a single date.
- NDVI_absolute — Scales from -1 to 1 with the full color ramp. Good for comparing across different dates.
- NDVI (plain) — Same -1 to 1 range, but values below 0 are rendered as bright red. This is the recommended default for most use cases.
NDVI.tif or NDRE.tif files. These contain pre-calculated index values and can be imported into any GIS tool like QGIS.
Cloud masking
Leaf uses the cloud mask provided with Sentinel-2 L2A data to calculate the cloud coverage percentage for each image. You can filter images bymaxClouds when querying processes.
What to do next
- Satellite Overview — How the crop monitoring service works.
- PlanetScope — Higher-resolution imagery from Planet.
- API Reference: Satellite — Full endpoint reference.