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[DORA 2.0] How Input Features Are Named

Learn how rasters are named and categorized in DORA.

Overview

Input Features in DORA follow a consistent naming convention. This naming structure helps you quickly understand what type of data a layer represents, how much area it covers, and how it was generated.

The Data Group determines which category Input Features are sorted into in Step 4: Select Input Features.

Each Input Feature name is built from a series of standardized abbreviations that describe the data group, spatial coverage, data type, and any additional processing details.


Naming Structure

Input Feature names are structured in the following order:

Data GroupCoverage AreaData Type Additional Details (optional)

Not every Input Feature will include all elements, but they always follow this general sequence.


Data Group

The first part of the name identifies the data group, which describes the broad category of information.

Code

Data Group

ASY / CHM

Assay and geochemical data

GEO

Geological data

GPX

Geophysical data

AUG

Data Augmentation outputs

SAT

Satellite and remote sensing data


Coverage Area

The next part of the name describes the spatial coverage of the dataset.

Code

Coverage

LOC

Local coverage (does not cover the entire property boundary)

REG

Regional coverage (covers the full regional exploration boundary)

PROP

Property coverage (covers the entire property boundary)


Data Type

The data type indicates the specific kind of data or transformation within each data group.

GEO (Geology)

Code

Description

DDEN

Data Density

Created with the Data Density Maps module

DIST

Distance-to-feature maps.

Created with the Distance Maps module

FLTD

Fault Disturbance (waveform propagation through fault networks)

Created with the Fault Disturbance Maps module

LITH

Lithology maps

STKF

Strike Fields (anisotropy-based interpretation, higher inference away from measurements)

Created with the Structural Field Maps module

TER

Terrane

GPX (Geophysics)

Code

Description

AERODAT

Aerodat Airborne Survey

ANT

Ambient Noise Tomography

CSAMT

Controlled Source Audio Magnetotellurics

EM

Electromagnetic

GRAV

Gravity

IP

Induced Polarization Survey

MAG

Magnetics

MMT

Mobile Magnetotellurics

MT

Magnetotellurics

RAD

Radiometrics

SAM

Sub-Audio Magnetics

SEI

Seismic

VTEM

Versatile Time Domain Electromagnetic

ZTEM

Z-axis Tipper Electromagnetic

AUG (Data Augmentation)

Code

Description

HAR

Haralick Texture Filters

Filter types:

  • 0 – Contrast

  • 1 – Correlation

  • 2 – Entropy

  • 3 – Energy

Created with the Texture Filter Maps module

RN50

ResNet50 Computer Vision Filters

Created with the Computer Vision Maps module

LDEN

Lineament Density

Created with the Lineament Maps module

LCOM

Lineament Complexity

Created with the Lineament Maps module

CHM / ASY (Geochemical Maps)

Code

Description

AUGER

Auger samples

CALCRETE

Calcrete

COLLUVIUM

Colluvium

DRILL SPOIL

Drill spoil material

HYD

Hydrogeochemistry

ILL

Illuvial material

LAG

Lag samples

LATERITE

Laterite (lag, residuum)

LSED

Lake sediment assays

MAGLAG

Magnetic lag

MOSS

Moss samples

MULL

Mullock, heap, stockpile, tailings

PEDG CARB

Pedogenic carbonate

ROCK

Rock assays

SED

Undifferentiated sediment

SSED

Stream sediment assays

SOIL

Soil assays

VACUUM

Vacuum samples

VEG

Vegetation samples

UNKNOWN

Unknown or unclassified sample type

SAT (Satellite and Remote Sensing)

Code

Description

DEM

Digital Elevation Model

SEN

Sentinel-2 data


Additional Details

The final part of an Input Feature name may include additional descriptors, such as:

  • The element or attribute being predicted

  • The processing method applied (e.g. Fourier filters, derivatives)

  • Quality indicators (e.g. lowQC), geochem predictive grids (soil, till, etc)

These details provide further context but may vary depending on the dataset and workflow:

Code

Description

1Dinv

1D Inversion

1VD

1st Vertical Derivative

2Dinv

2D Inversion

3Dinv

3D Inversion

AGD

Air and Ground Drone

AIR

Air Based Survey

AS

Analytical Signal

BA

Bouguer Anomaly

Chg

Chargeability

Cond

Conductivity

eqmmr

Equivalent MMR

GND

Ground

HDEW

Horizontal Deriv. enhancing features perpendicular to the EW direction

HDNS

Horizontal Deriv. enhancing features perpendicular to the NS direction

ISO

Isostatic Anomaly

K

Potassium

MagAmpInv

Magnetic Amplitude Inversion

MVI

Magnetic Vector Inversion

NAADR

Natural Air Absorbed Dose Rate

Res

Resistivity

RTP

Reduced to Poles

Susc

Susceptibility

TAU

Time Constant, Decay Constant

TC

Total Counts

TDR

Terrestrial Dose Rate

Tee

Total Energy Envelope

Th

Thorium

Tilt

Tilt Angle

U

Uranium

vs

Velocity


Learn More


Still Have Questions?

Reach out to your dedicated DORA contact or email support@VRIFY.com for more information.

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