The best data sources for
regolith-terrain mapping

  • Find spectral anomalies more reliably, and with greater precision
  • Identify material transport directions to improve your geochemical surveys
  • Improve the correlation between landform, regolith and bedrock
  • Get the best remote sensing data free of charge
  • Free advice by email on how to get the best from your new images

Landsat and SRTM data are free to download, so the innovative techniques that have been developed allow Richard to supply a range of images at no cost

None of these images would be possible without the excellent service provided by NASA and the USGS through Global Visualization Viewer (GLOVIS) and EarthExplorer.


What does it cost?

A regional set of images (say 100x100km) will cost you nothing. A buffer will be provided around your chosen area, to make sure you miss nothing.

Richard will create the images that you want for your project, and they will be supplied on a non-exclusive, multi-client basis.

Why is there no cost?

First, I am now retired from full-time work, so this is a hobby... something I enjoy doing.

Second, the exploration industry is not doing too well at the moment, so anything I can do to help with new discoveries is worthwhile.

So, it is better to see the imagery, and my expertise, being used.

Landsat TM3 - Temporal Merge small hand

The temporal merge, more familiar in the oil industry as stacking, typically includes up to nine datasets, spanning 10-15 years. Where possible, the data are chosen to minimise vegetation, fire scars, flooding and other seasonal variables. However, the merging process reduces any of these short-term effects proportionally, while constantly reinforcing the persistent spectral character of the ground.

Persistent spectral patterns are going to reflect bedrock and regolith geology, so these images provide the best insight into the geology of your project. In addition, the merging process generates much deeper colour than the original 24-bit data (2304 bits/band for a nine-year merge as opposed to 256 bits), which makes generating ratios much more discerning and informative.

For the human eye, it is difficult to see any difference between the colours in such an image and a 24-bit image, but the existence of more shades of each of the three primary colours means that more operations can be performed on the image without risk of noticeable banding or posterisation.

What Spectral images do you get?

Four 30-m resolution images in georeferenced Geodetic or Projected JPEG 2000 format

  • RGB 321 Natural colour
  • Bands 741
  • Decorrelation Stretch Bands 754
  • Gozzard Ratios (5/7,4/7,4/2)

Weld Range, Western Australia - Gozzard Ratios, 1989-2005 TM3

Weld Range

Click here hand to see a larger 3Mb image

SRTM - Multi-scale Enhanced small hand

The data are downloaded from the USGS EarthExplorer site. NASA have made a number of improvements to the SRTM data that they distribute, and this SRTM Topography PDF is a useful guide. The data used here are described in the PDF at NASA SRTM V3.0 (SRTM Plus).

Raw SRTM data has good detail in areas of moderate to high relief, but is very noisy in areas of low relief. The distribution of geochemical anomalies across colluvial and sheet-flood slopes into alluvial plains can only be properly understood if low relief landforms can be seen. Using LandSerf Multi-scale Resampling makes this possible.

Most resampling results in significant smoothing of the raw data, so the regional pattern may be a little clearer, but detail suffers. The multi-scale type of surface visualisation is particularly appropriate for the investigation of scale tendencies within the landscape, as it tends to differentiate between the representation of 'near' large-scale features and 'far' regional-scale features (Wood, 1999).

The method of visualisation implemented in the LandSerf software involves calculating morphometric measurements over a range of grid resolutions. This displays the mean of the surface characteristic over multiple scales to represent its central tendency, and the standard deviation to represent its dispersion.

Check out the Multi-scale Resampling link to see examples of how the processing affects the visualisation of landforms.

What Landform images do you get?

Sixteen 90-m resolution images in georeferenced Geodetic or Projected JPEG 2000 format

  • Natural elevation; plain and shaded NW and NE
  • Multi-scale resampled elevation and SD; plain and shaded NW and NE
  • Multi-scale resampled slope; plain and shaded NW and NE
  • Multi-scale resampled plan curvature; plain and shaded NW and NE
  • Multi-scale resampled profile curvature; plain and shaded NW and NE

East Pilbara, Western Australia - Multi-scale resampled Slope on NE Aspect-shaded Elevation

East Pilbara slope

Click here hand to see a 3Mb image