03 · Geospatial Intelligence
Intelligence, with location as context.
Geospatial engineering is where Cloud9Space started. We build GIS platforms, raster and vector processing pipelines, spatial APIs and map applications that handle real-world data volumes, from satellite scenes to millions of field records.
- GIS platforms
- Satellite & remote sensing
- Spatial analytics
- GeoAI
- Location intelligence
- Geospatial APIs
- Interactive mapping
- Raster & vector processing
What we build
Geospatial Intelligence, in practice.
Satellite & remote-sensing pipelines
Scene ingestion, cloud masking, indices and change detection on multispectral imagery, stored as cloud-optimised GeoTIFFs for fast, partial reads.
Raster analytics at scale
Dynamic tiling, terrain and elevation analysis, volume computation and zonal statistics without pre-rendering every zoom level.
Vector & spatial databases
Parcels, boundaries, outlets and routes in PostGIS and GeoParquet, with spatial indexing and joins that hold up at production volume.
Geospatial APIs
Geocoding, reverse geocoding, distance and catchment calculations and hazard-zone checks exposed as clean, documented services.
Map applications & dashboards
Interactive web maps for planning, monitoring and field execution, using Mapbox, deck.gl, Leaflet and GeoServer where each fits best.
GeoAI
Segmentation and classification models that find land parcels, vegetation and water bodies in imagery and feed the results back into GIS layers and decision tools.
Architecture
How spatial layers become decisions
How we work
Engineering principles.
- PostGIS
- GeoServer
- GDAL
- Rasterio
- TiTiler
- Mapbox
- deck.gl
- Leaflet
- GeoParquet
- COG
Cloud-native formats
COG, GeoParquet and tiled services so data is read in pieces, not downloaded in bulk.
Spatial is a join key
Location connects sales, assets, risk and people. We design schemas so that connection is cheap.
Built for the field
Offline capture, low-bandwidth maps and simple interfaces for people who work outdoors.
Start a conversation
Bring us the hard problem.
Tell us what you are trying to build and the constraints you are working within. We will come back with how we would approach it.