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Uploading Drone Imagery

Upload raw drone images and agronome.ai handles the rest — stitching, vegetation index generation, and tile rendering.

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Supported cameras

CameraTypeIndices available
DJI Mavic 3 MultispectralMultispectral + RGBNDVI, NDRE, GNDVI, SAVI, EVI, CHM
DJI Phantom 4 MultispectralMultispectralNDVI, NDRE, GNDVI, SAVI, EVI, CHM
MicaSense RedEdge-MXMultispectralNDVI, NDRE, GNDVI, SAVI, EVI, CHM
MicaSense AltumMultispectral + ThermalNDVI, NDRE, GNDVI, SAVI, EVI, CHM
Any RGB cameraRGBOrthomosaic, Elevation

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Upload process

1

Select a field

Navigate to the field where the drone flight was conducted. Open the Drones tab.
2

Create a new flight

Click Upload Drone Images. Give the flight a name and optional notes.
3

Upload images

Drag and drop your images or select them from your file browser. Images upload directly to cloud storage — large uploads are handled efficiently with parallel uploads and resume capability.
4

Automatic EXIF analysis

Once upload completes, agronome.ai analyzes EXIF metadata to identify the camera, spectral bands, flight altitude, and coverage area. This takes a few seconds.
5

Processing

The images are sent to OpenDroneMap for orthomosaic generation. Processing time depends on image count — typically 15-45 minutes for a standard field flight.
6

View results

When processing completes, layers appear in the Analyze tab. Switch between vegetation indices, orthomosaic, and elevation views.

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Tips for good results

  • Overlap — 75%+ front overlap and 65%+ side overlap produce the best orthomosaics
  • Altitude — consistent altitude throughout the flight improves stitching quality
  • Lighting — overcast conditions produce more uniform imagery than direct sunlight
  • GSD — ground sampling distance is calculated from altitude and sensor size. Lower altitude = higher resolution
  • File format — upload the original camera files (TIFF for multispectral, JPEG/DNG for RGB). Do not pre-process or rename files.

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Multispectral vs. RGB

Multispectral flights capture Near-Infrared (NIR) and Red Edge bands in addition to visible light. These enable vegetation indices like NDVI and NDRE that reveal plant health invisible to the naked eye. RGB flights produce high-resolution orthomosaics and elevation models but cannot generate vegetation indices. Useful for visual inspection, plant counting, and general field documentation.