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Geophysics Measurements


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Geophysics data is commonly classified by reference to
  • spatial organisation of data
    • points
    • lines (actually curves)
    • grids
  • degree of processing
    • raw measurements
    • processed, calibrated, etc
    • gridded
  • property observed
    • potential field
    • E-M
    • seismic
    • radiometrics
    • etc

Different spatial distributions are usually reflected in significantly different data structures. However, the degree of processing and property observed are characteristics more related to semantics and metadata, and may have very little impact on the data structures. For example, the same basic data structure can be used for all grids, regardless of how the gridded values were obtained.

Precedents for geophsycis data are primarily factored into these sructural/spatial distinctions, though in particular sub-domains these format distinctions also commonly imply some semantics: e.g.
  • if the data is on a grid and describes a potential-field then it must have been modelled or interpolated (because potential-field observations are always made on lines or at points)
  • if the data is on a grid and describes reflectance then it may be raw data

In XMML we are developing encodings or strategies related to existing encodings and data models as follows:

Topic revision: r5 - 15 Oct 2010, UnknownUser

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