DIGspace is a 3D geospatial digital platform for engineering investigation and underground-space development: ERT, GPR, boreholes, terrain and imagery converge in one 3D space across edge, web, mobile and desktop — making subsurface structures visible, anomalies explainable, and change trackable.
The platform's first layer of value is not algorithms — it is bringing data scattered across devices, software and disciplines into one space.
Geophysics · ERT inversion volumes / GPR sections / electrode arrays / apparent resistivity
Borehole logs · CSV import / stratigraphic columns / sampling records / lithology descriptions
Remote-sensing surface · satellite imagery / orthophoto / oblique photography / DEM terrain
Engineering drawings · Shapefile / DXF / GeoJSON / coordinate registration
Monitoring time series · ERT & microtremor / GNSS displacement / water level & rainfall / alert records
Once data enters the platform it is unified into one coordinate system and one 3D scene — surface imagery and terrain and underground inversion volumes are two layers in a single space, not two maps someone has to align by eye.
Acquisition parameters, processing chains and interpretation steps are logged end to end; three months later, you can still trace exactly how a figure was produced.
In practice, engineering comes down to four questions. 3D analysis gives each one an evidence base you can stand behind.
Planar position and extent of anomalies, down to coordinates
Top and base burial depths and thickness — ready to guide excavation and design
Property-based conversion plus borehole ground truth to determine its nature
Monitoring data ingested as time series; threshold alerts surface change early
Real-time rendering on the VTK engine lets one data volume be examined again and again from six perspectives.
Every step is completed inside one platform — no loose intermediate files, no hand-carrying data across software packages.
The four themes are not parallel topics — store is the foundation, analyze is the core, report is the output, integrate is the future.
A method is not just "being able to open data" — it is a complete loop of import → processing → interpretation → 3D deliverables. Results from different methods land in the same 3D scene, so they can be interpreted together.
| Method | Questions it answers | Key capabilities | Status |
|---|---|---|---|
| ⚡Electrical Resistivity Tomography (ERT) | Deep groundwater, seepage paths, fracture zones — deep penetration that shows "where the water is" | Direct GD-10 / GD-20 device connection · 8 data formats · proprietary online inversion engine · 3D volume building · property conversion · First method available for online monitoring | Available in V1.0 |
| 📡 Ground Penetrating Radar (GPR) | Shallow voids, utilities, archaeological remains, pavement distress — high resolution that shows "where the boundaries are" | 8 mainstream radar formats imported natively · 20+ processing nodes freely combined · GPS track QC · depth slices / fence diagrams / volume rendering | Available in V1.0 |
| 🕳️Borehole data | Ground-truth calibration for geophysical interpretation — settling "what it really is" | Fast CSV catalog import · borehole lithology columns compared with ERT / GPR sections in the same scene · ingested as auxiliary data | Supporting data |
| 🔜More geophysical methods: microtremor / TEM / electromagnetics / … | Continually added per industry needs, combining deep and shallow coverage for more engineering scenarios | The data foundation is designed for multiple methods; new methods attach as plugins / modules without changing existing results | Future releases |
ERT adds depth, GPR adds resolution, boreholes provide ground truth — cross-validation across two or more physical fields is what supports a confident conclusion.
Depth and resolution complement each other · ERT defines extent at depth, GPR defines boundaries near surface Karst cavities · tunnel look-ahead geological prediction
Property inversion + ground-truth calibration · resistivity-to-moisture content / hydraulic conductivity conversion Hydrogeology · aquifer delineation
Automatic edge acquisition · automatic cloud inversion and ingestion · proactive threshold alerts Dam seepage · slope monitoring
Organized along three lines — investigation, monitoring and special-purpose — each scenario covers pain points, solution architecture, method configuration, deliverables and implementation flow.
Not "a few more features" — four things that are hard to get anywhere else, all in one place.
Underground inversion volumes and surface remote-sensing imagery, oblique photography, terrain and vector maps share one coordinate system in one 3D scene — no multiple software packages, no repeated exports, no manual alignment.
ERT adds depth, GPR adds resolution, boreholes provide ground truth. Two or more physical fields cross-validate at the same location, sharply reducing the non-uniqueness of any single method.
One-off investigation and long-term online monitoring on one platform and one data foundation — the investigation baseline is the first period of monitoring data.
What you deliver is not a stack of screenshots; it is 3D results with processing parameters and lineage — recomputable, reusable, and ready to overlay against the next project period.
Methods flourish at the top; data speaks one language at the bottom — the core platform stays stable, while capabilities grow as plugins.
The core program does only what is core; every other capability mounts as a plugin — algorithm plugins are added by configuration, with no core changes, no releases, no disruption.
ERT inversion, data filtering, moisture-content conversion and blanking, along with GPR zero-time removal, gain recovery, band-pass filtering and background removal, are all mounted as plugins — a new algorithm can be added by configuration, with no core changes.
Customer and partner tools — monitoring dashboards, custom workflows — grow on the platform: business plugins can bring their own pages without touching the platform core.
Low-latency access in China and overseas with clear data boundaries and seamless collaboration — three deployment models, one architecture, one experience.
Small projects · fast go-live Out of the box, no deployment needed Field app acquisition syncs to the cloud automatically Elastic compute, cloud inversion Multi-user collaborative online viewing Dual data centers in China and overseas
Primary model Classified data stays on private cloud · collaboration runs on public cloud Classified raw data never leaves the intranet Collaboration and viewing run on public cloud Secure on-demand data synchronization Project / data-set level permission control
Key projects · fully intranet Runs fully on intranet, physically isolated Raw data and documents retained permanently High-performance computing, batch processing Suited to provincial institutes and key projects
Register an account to start importing and visually analyzing data: in-depth interpretation on desktop, online collaboration on the web, and field re-survey on mobile — one account, one data set.
