Spatial Intelligence Workbench

Complete geospatial environment: GIS analysis, remote sensing, point cloud processing, terrain modelling, and AI-powered spatial analytics.

Capabilities

Everything geospatial. One environment.

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Remote Sensing

Sentinel-2, Landsat, commercial satellite imagery processing via GDAL/OGR 3.8. Multi-spectral, SAR, and optical analysis.

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Spatial Analysis

QGIS 3.34 + PostGIS 3.4. Buffer, overlay, dissolve, spatial join, topology, and geostatistical operations.

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Terrain Modelling

DEM/DSM generation from photogrammetry and LiDAR. Contours, viewshed, and hydrological modelling via GRASS GIS 8.3.

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Point Cloud

PDAL + CloudCompare. Billions of points β€” filtering, classification, segmentation, and surface extraction.

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GeoAI

AI-powered change detection (Guntur POC: 10,611 buildings analysed). LULC classification on NVIDIA A10 GPU.

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Map Production

Publication-ready maps with legends, scale bars, north arrows. Export PDF/PNG/SVG. WMS/WFS publishing via GeoServer.

Real Evidence

See it in action.

Satellite vs drone imagery

Multi-source geospatial analysis: satellite and drone imagery of Guntur processed in the Spatial Intelligence Workbench

Relevant Industries

Use Cases

GeoAI workflows teams run here.

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Building Change Detection

Compare multi-temporal Sentinel-2 imagery to identify new construction, demolition, and modification β€” as demonstrated in the Guntur POC (10,611 buildings analysed).

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Land Use Classification

Supervised LULC mapping from multi-spectral imagery. Train custom classifiers on A10 GPU and export GeoTIFF + vector boundaries.

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DEM Generation from Drone

Process UAV image sets through COLMAP β†’ dense point cloud β†’ DEM/DSM β†’ contour extraction via GRASS GIS pipeline.

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SAR Flood Mapping

Sentinel-1 SAR backscatter analysis for flood extent delineation, water body change, and inundation frequency mapping.

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Infrastructure Corridor Monitoring

Automated vegetation encroachment detection along pipeline, railway, and power line corridors from satellite time-series.

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Spatial Statistics at Scale

Hot-spot analysis, spatial autocorrelation, and kernel density estimation on millions of features via PostGIS + GPU acceleration.

Turn complex technical work into executable outcomes.

From intent to verified engineering artifact.

Universal Workbench Capabilities

Available in the Nebula Cloud Universal AI Workbench

These capabilities ship inside the two Universal Workbench editions. Choose an edition and launch β€” no separate product to buy.

GeoAI & Spatial

GIS, remote sensing, and geospatial AI.

ApplicationAvailabilityLicence
DuckDB Spatial Ubuntu Built-in
GDAL Ubuntu 3.8 Built-in
GeoPandas Ubuntu Built-in
GRASS GIS Windows 8.5 Built-in
PostGIS Ubuntu 3Windows 3.5 Built-in
PySTAC Ubuntu Built-in
QGIS Ubuntu 3.34Windows 4.2.1 Built-in
Rasterio Ubuntu Built-in
SAGA GIS Windows 9.12 Built-in
TerraTorch Ubuntu Built-in
TorchGeo Ubuntu Built-in
xarray Ubuntu Built-in