GeoPilotIMG

GeoPilot LargeImage

Process massive rasters with AI.

Drone orthomosaics, satellite imagery, LiDAR DEMs, and climate data. GeoPilot LargeImage handles multi-gigabyte rasters with tiled processing, so you can analyze any dataset regardless of size.

Supported formats

Industry-standard raster formats with full metadata preservation.

GeoTIFF

.tif / .tiff

The standard for geospatial rasters. Multi-band, tiled, compressed. Full COG (Cloud Optimized GeoTIFF) support.

NetCDF

.nc / .nc4

Climate and oceanographic datasets. Multi-dimensional arrays with time series, elevation bands, and variable metadata.

JPEG2000

.jp2 / .j2k

High-compression satellite imagery. Sentinel-2, Landsat, and commercial satellite providers.

Use cases

From precision agriculture to climate science, LargeImage handles it all.

Drone Orthomosaics

Drone Orthomosaics

Process centimeter-resolution orthomosaics from DJI, senseFly, and other drone platforms. NDVI, DTM generation, stockpile volume calculation, and change detection.

Typical: 2-20 GB per flight
Satellite Imagery

Satellite Imagery

Analyze Sentinel-2, Landsat, MODIS, and commercial satellite imagery. Band math, spectral indices, classification, and time series analysis.

Typical: 500 MB - 5 GB per scene
High-Resolution DEMs

High-Resolution DEMs

Process LiDAR DEMs, SRTM, ALOS, and Copernicus DEM data. Terrain analysis, viewshed, slope, aspect, curvature, and hydrological modeling.

Typical: 1-10 GB per tile
Climate & Weather Data

Climate & Weather Data

Analyze gridded climate data from ERA5, CHIRPS, GPM, and other sources. Temperature, precipitation, evapotranspiration time series and anomaly detection.

Typical: 100 MB - 50 GB per dataset

How it works

Tiled Processing

Large rasters are split into tiles, processed in parallel, and seamlessly stitched back together.

Multi-Band Support

Work with any number of bands. Calculate indices (NDVI, NDWI, SAVI), band math, and composite visualizations.

Any Resolution

From 30m Landsat to 2cm drone imagery. Automatic reprojection and resampling.

GPU Acceleration

Leverage GPU for convolutions, classification, and deep learning inference on Desktop.

Local or Cloud

Process on your machine with Desktop, or use cloud infrastructure with Web for files up to 500 MB.

Statistics & Reports

Zonal statistics, histograms, class area summaries, and auto-generated PDF reports.

Built-in analyses

NDVI / NDWI / SAVI

Vegetation and water spectral indices

Terrain Analysis

Slope, aspect, curvature, TPI, TRI

Hydrological Modeling

Flow direction, accumulation, watersheds

Land Use Classification

Supervised and unsupervised classification

Time Series Analysis

Trend detection, anomaly mapping

Zonal Statistics

Statistics per zone, region, or polygon

Process your rasters

Upload a GeoTIFF and describe the analysis. Results in seconds.