Mapped Earth Intelligence

Earth Digital

Extracting computable surface information from remote-sensing imagery

Remote sensing and AI turn buildings, energy infrastructure, population and agriculture into standardized, analyzable geospatial data products.

Overview

Bring physical-world objects into a computable, updateable spatial system.

Earth Digital turns visible objects—buildings, renewable-energy assets, population patterns and crops—into spatial information with location, extent and attributes.

This information can be organised, compared and updated over time, providing a consistent foundation for detailed mapping, asset inventories, spatial analysis and applied work.

How it becomes digital

From visible objects to spatial assets

01

Object detection

Identify target objects and their spatial boundaries in imagery.

02

Attribute extraction

Describe object type, form and observable characteristics.

03

Spatial reconstruction

Build detailed spatial layers that can be computed and compared.

04

Continuous updates

Use repeated observation to track changes in distribution and state.

Workflow

From Earth imagery to applied information

  1. 01

    Earth observation

    Acquire spatial observations covering the area of interest.

  2. 02

    Intelligent recognition

    Recognise objects, boundaries and observable attributes.

  3. 03

    Spatial organisation

    Organise results into consistent spatial assets.

  4. 04

    Applied use

    Support mapping, inventories, analysis and ongoing monitoring.