How the GeoCompute workflow turns imagery into deliverables.
GeoCompute AI ingests drone and aerial imagery, validates the dataset, builds geospatial products,
and converts the results into project-ready maps, surfaces, measurements, and analysis outputs.
The workflow is designed for practical deliverables: orthomosaics, DSM/DTM surfaces,
contours, volumetric analysis, environmental mapping, change products, and GIS/CAD-ready downloads.
Processing pipeline onlinePhotogrammetry firstEnvironmental workflows in developmentAI analytics scoped by project
At a high level
From raw imagery to usable geospatial data.
The system is built around one outcome: converting imagery into defensible outputs that
project managers, GIS analysts, environmental teams, contractors, and technical clients can actually use.
Dataset-aware. Image count, overlap, GCPs, coordinate systems, and site complexity are reviewed up front.
Surface-focused. Orthomosaics and terrain models support quantity, condition, environmental, and progress analysis.
Deliverable-driven. Outputs are prepared as reports, CSVs, GeoTIFFs, shapefiles, GeoPackages, or CAD-ready surfaces as needed.
Core inputs
Drone or aerial imagery collected by the client or project team.
RTK/PPK metadata and ground control details when available.
Imagery, metadata, GCP notes, and project requirements are checked before processing begins.
Step 2
Processing
Orthomosaics, point clouds, DSM/DTM surfaces, and related geospatial products are generated.
Step 3
Analysis
Measurements, contours, volumes, surface comparisons, change areas, or custom analytics are prepared.
Step 4
Deliverables
Results are packaged as reports and downloadable GIS/CAD-ready files.
Primary focus
Geospatial outputs
Orthomosaics, point clouds, DSM/DTM surfaces, contours, and map products.
Measurement use
Volumes & change
Stockpiles, surface comparisons, condition tracking, environmental change, and repeat-dataset analysis.
Advanced work
Scoped analytics
Remote sensing, coastal monitoring, environmental mapping, and AI workflows are quoted after technical review.
What goes in
GeoCompute is designed to work with imagery and project data teams already collect.
Drone or aerial image sets from RTK, GCP-supported, or standard flights.
Optional baseline/design surfaces or prior imagery.
AOIs, boundaries, CAD/GIS layers, control notes, or project requirements.
What comes out
The output package is built around usable deliverables, not raw compute artifacts.
Orthomosaics, DSM/DTM, contours, point clouds, and map products.
PDF summaries, measurement tables, and CSV exports when needed.
GeoTIFF, shapefile, GeoPackage, or CAD-ready files.
Where advanced analytics fit
AI-enabled and remote sensing analytics are available for specialized projects, but they are scoped before quoting.
Object detection, image classification, or segmentation workflows.
Custom change-detection and condition-mapping support.
Environmental and coastal mapping methods under active development.
General-purpose data hosting is not currently advertised as a standard service package.
Emerging field capability
Sentinel Environmental Systems
GeoCompute is expanding beyond processing through Sentinel, an in-development aerial platform focused on
environmental monitoring, coastal intelligence, infrastructure inspection, and advanced field data collection.
Coastal restoration monitoring and shoreline change workflows.
Habitat analysis and environmental condition mapping.
Infrastructure inspection and repeat-site documentation.
Future autonomous field collection workflows paired with GeoCompute analytics.
Sentinel capability is being developed as a future collection layer; GeoCompute processing and analytics services remain available independently.