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Image processing of geophysical datasets covering Central Volcanic Region geothermal fields

Image processing of geophysical datasets covering Central Volcanic Region geothermal fields

Pages 213-216 1992

The Central Volcanic Region of the North Island (CVR) was chosen for an investigation of the application of digital image processing techniques to geothermal studies, using large resistivity and gravity datasets. The display of such data in image format can often reveal information that is not readily apparent in the standard contour maps or profiles. Examples of the interactive computer image processing tools that have proved useful in this study include: filtering, contrast enhancement, histogram equalisation (anomaly highlighting), pseudo-colouring, level slicing, relief shading, and overlaying of images generated from multiple datasets. Separate datasets can be independently enhanced then combined as overlays in different colours to help identify new inter-relationships. An example is the association between many low resistivity anomalies (geothermal fields) and the edges of gravity anomalies (rift or caldera margins). Another example is the overlay of resistivity anomalies at different depths of investigation (nominal AB/2 spacings of 500 m and 1000 m), which reveals changes with depth in the shape, size and location of many geothermal fields in the CVR.

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