Regional Prediction

Explorer

Example Region: Australia

This page demonstrates how QUANTUM AQUA generates

groundwater predictions for a real geographic region

using all available satellite, climatic, geological, and

hydrological variables.

1. Select Region: Australia

When the user selects Australia’s region on the map, the system extracts all relevant datasets available for the region, including:

  • Optical (NDVI, NDWI, NDMI, SWIR, SAVI)

  • SAR (VV, VH, coherence, dry–wet contrast)

  • DEM (elevation, slope, aspect, TWI)

  • Geology (lithology, permeability, faults, lineaments)

  • Climate (rainfall, evapotranspiration, aridity index)

  • GRACE & GRACE-FO (TWS, anomalies, trends)

  • Hydrological layers (drainage, river networks)

  • Real geolocated wells (widely available in Australian hydrology datasets)

2. Variable Processing

All variables from the selected region are standardized and assembled into a regional feature set.　No internal model mechanics are disclosed—the algorithm remains patented and protected as an industrial trade secret.

3. Prediction Generation

The quantum-inspired engine, which conceptually uses a formulation related to the time-dependent Schrödinger equation, processes the regional data and produces:

  • A regional groundwater prediction score

  • A spatial groundwater heatmap

  • Local confidence intervals

  • A simplified driver summary (non-sensitive)

4. User Output

The user sees:

  • A prediction layer over Australia

  • Zones of high or low groundwater potential

  • Confidence shading

  • Key contributing variables for that specific region