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Last reviewed: 23 August 2026

LiDAR for Māori GIS

LiDAR lets you see the shape of whenua in extraordinary detail.

It can reveal ridges, terraces, drains, old tracks, slips, stream channels and subtle earthworks that are difficult to see in ordinary aerial imagery. For Māori GIS, that makes LiDAR useful for whenua planning, hazards, restoration, access, archaeology and understanding landscape change.

It also makes it easy to mistake a striking terrain pattern for knowledge the data does not contain.

LiDAR measures form. It does not tell you what a place means.

What is available in Aotearoa​

Toitū Te Whenua LINZ's National Elevation Programme provides open LiDAR-based elevation data for most of New Zealand.

Current national products include:

  • 1 m Digital Elevation Model, DEM
  • 1 m Digital Surface Model, DSM
  • DEM hillshade
  • DSM hillshade
  • source point clouds and indexes for individual surveys

The merged national models are updated as newer accepted surveys become available.

Coverage is broad but not universal, and capture dates vary by area.

Always check the survey date for the place you are working on.

DEM and DSM are different​

A DEM is intended to represent bare-earth ground elevation.

A DSM represents the upper surface and can include buildings, trees, structures and other above-ground features.

For whenua form, drainage and archaeological landscape interpretation, a DEM is usually the more useful starting product. For buildings, canopy height or surface obstacles, a DSM may be useful.

Do not use the terms interchangeably.

Hillshade is a visualisation​

A hillshade simulates light across the elevation surface.

It is excellent for revealing landform, but the direction of the simulated light affects what you can see. A single hillshade can hide features aligned with the light direction.

Useful practice includes comparing standard hillshade, hillshade from several azimuths, multidirectional or alternative hillshade styles, slope, contours and imagery.

The feature that disappears under a different light angle may still be real. The feature that looks dramatic under one rendering may also be an artefact or ordinary landform.

Useful Māori GIS applications​

Whenua planning​

LiDAR can support slope assessment, access planning, building-site screening, drainage understanding, earthworks context, farm and forestry planning and papakāinga early-stage options.

It does not replace survey, geotechnical, engineering or planning work where those are required.

Awa and drainage​

Fine elevation can help identify small channels, overland flow paths, low points, flood-prone access, former channels and wetland form.

Hydrological analysis still requires care. Culverts, bridges and DEM processing can alter modelled flow paths.

Hazards​

LiDAR is useful for flood models, coastal elevation, landslide and slip context, erosion, tsunami planning and post-event change.

Use official hazard modelling where a decision requires it. A home-made elevation threshold is not automatically a flood-hazard assessment.

Pā and archaeological landscapes​

Bare-earth terrain can reveal terraces, ditches, banks and other forms, particularly under vegetation.

A terrain feature is not proof of a cultural interpretation.

Use LiDAR alongside archaeology, historical evidence and local knowledge.

See Pā and archaeological landscapes.

Restoration​

LiDAR can support wetland restoration, riparian planning, erosion control, fencing and access and catchment-scale terrain understanding.

The data can help identify where water and landform create opportunities or constraints. It does not determine the restoration kaupapa.

Survey date matters​

The national 1 m product is a mosaic assembled from surveys captured in different years. Neighbouring areas can therefore have different dates.

For change detection, use survey-specific datasets rather than assuming the national merged model represents one moment in time.

Record the survey name, capture period, product type, resolution and source.

One metre does not mean one-metre accuracy​

A 1 m DEM describes the grid resolution, not a guarantee that every elevation is accurate to exactly one metre horizontally or vertically.

Accuracy depends on survey specification, sensor and flight conditions, ground classification, vegetation, terrain and processing.

Use the metadata for accuracy-sensitive work.

LiDAR can expose sensitive landscapes​

Public elevation data may reveal earthworks or landforms that are not well known publicly.

If your analysis identifies a potentially sensitive place, do not automatically publish the precise location. Consider whether naming the interpretation creates new risk, keep investigation layers restricted and consult the appropriate people before wider publication.

The source DEM may be public while your derived interpretation is not.

Check the source before using it​

For every LiDAR or elevation layer, record at least:

  • provider and survey name
  • capture period
  • product type, such as DEM, DSM or point cloud
  • grid resolution or point density
  • coordinate reference system
  • stated accuracy where available
  • whether the layer is a national mosaic or a survey-specific product
  • any processing you apply after download

The provider is the technical authority for the survey specification and published product. It is not the cultural authority for the meaning of a landform or place.

Use Provenance and source checking when you need a repeatable way to record these distinctions.

A simple QGIS workflow​

For a first terrain project:

  1. Download the DEM for the area from LINZ or use a suitable service.
  2. Check capture date and metadata.
  3. Set the project to NZTM2000 where appropriate for Aotearoa analysis.
  4. Create or load hillshade.
  5. Compare at least two visualisations.
  6. Add current imagery.
  7. Add streams, whenua or other context only as required.
  8. Mark possible features in a separate review layer rather than a confirmed layer.
  9. Record what evidence supports each interpretation.
  10. Review sensitive outputs before publishing.

Try it now​

Use a familiar place rather than an unfamiliar demonstration area.

  1. Open the LINZ elevation data page and identify the most suitable DEM for your area.
  2. Record its survey or source name and capture date before downloading anything.
  3. Load the DEM in QGIS and create a hillshade.
  4. Create a second hillshade with a different light direction or use another terrain visualisation.
  5. Add current imagery and compare what each representation reveals.
  6. Create a temporary review point layer and mark one feature that deserves further checking.
  7. Add fields for source, capture_date, interpretation, confidence and review_status.
  8. Do not label the feature as a pā, site or culturally significant place unless other evidence supports that interpretation.

The exercise is successful when you can explain what the LiDAR shows, what it does not show and which source would be needed to take the interpretation further.

Explore in Matawhenua​

Use the Matawhenua 2D and 3D viewer to explore terrain and place in a browser before or alongside desktop analysis. Use it for orientation and investigation, then return to the original elevation source and metadata when the work depends on survey date, resolution or accuracy.

Point clouds​

Point clouds preserve more of the source measurement than gridded DEMs.

They can be useful for advanced work involving vegetation structure, buildings, terrain classification, custom surface generation and quality checking.

They are also much larger and require more technical skill and storage. For many iwi and hapū tasks, the national DEM and hillshade products are the better starting point.

Coastal LiDAR​

LINZ's 3D Coastal Mapping programme is adding detailed coastal and shallow-water elevation products through 2027.

These can support coastal hazard work, low-lying whenua planning, estuary and harbour context, erosion and inundation analysis.

Coastal LiDAR performance can be affected by water clarity, tide, weather and other capture conditions. Read the survey metadata rather than assuming complete seabed coverage.

Sources​

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