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  • im (= image): scalar field with two spatial axes, or association of several such fields, e.g., images with multiple color planes, from multichannel or filter cameras. All vectorial 2D fields are described as catalogue (see below).
  • ma (= map): scalar field / rasters with two spatial axes covering a large area and projected either on the sky or on a planetary body, associated to a Projection parameter (with a short enumerated list of possible values). This is mostly intended to identify complete coverages that can be used as reference basemaps. Does this require a secondary UCD notation (e.g., ;map)?
  • sp (= spectrum): measurements organized primarily along a spectral axis, e.g., a series of radiance spectra. This includes spectral aggregates (series of related spectra with non-connected spectral ranges, e.g., from several channels of the same instrument - TBC).
  • ds (= dynamic_spectrum): consecutive spectral measurements through time, organized primarily as a time series. This typically implies successive spectra of the same target / field of view.
  • sc (= spectral_cube): sets of spectral measurements with 1 or 2D spatial coverage, e.g., imaging spectroscopy. The choice between image and spectral_cube is dictated by the characteristics of the instrument (which dimension is most resolved & which dimensions are acquired simultaneously). The choice between dynamic_spectrum and spectral_cube is related to the uniformity of the field of view.
  • pr (= profile): scalar or vectorial measurements along 1 spatial dimension, e.g., atmospheric profiles, atmospheric paths, sub-surface profiles, traverses…
  • vo (= volume): other measurements with 3 spatial dimensions, e.g., internal or atmospheric structures, including shells/shape models (3D surfaces).
  • mo (= movie): sets of chronological 2D spatial measurements
  • cu (= cube): multidimensional data with 3 or more axes, e.g., all that is not described by other 3D data types such as spectral cube or volume. This is mostly intended to accommodate unusual data with multiple dimensions.
  • ts (= time_series): measurements organized primarily as a function of time (with exception of dynamical spectra and movies, i.e. usually a scalar quantity). Typical examples of time series include space-borne dust detector measurements, daily or seasonal curves measured at a given location (e.g. a lander), and light curves.
  • ca (= catalogue): applies to a single granule providing a list of events, a catalog of object parameters, a list of features... "Spatial vectors" (e.g., vector information from a GIS, spatial footprints…) belong here. This is relevant, e. g., for collections of vectorial elements (e.g. crater lists or ROI definitions) which can be handled directly in a specialized environment such as a GIS. This includes maps of vectors, e.g., wind maps.
  • ci (= catalogue_item): applies when the service itself provides a catalogue, with entries described as individual granules. The service can be, e. g., a list of asteroid properties or spectral lines. Catalogue_item can be limited to scalar quantities (including strings), and possibly to a single element. This presentation allows the user to search the catalogue from the TAP query interface.
  • sv (= spatial_vector): removed (now included in catalogue)

 

 Resource Type

Time

Freq

X

Y

Z

string / qualitative
Catalogue......
Catalogue Item......

Times Series

X

 

 

 

 

 

Dynamic Spectrum

X

X

 

 

 

 

Spectrum

 

X

 

 

 

 

Profile

 

 

X

 

 

 

Image

 

 

X

X

 

 
Map  X X  

Spectral Cube

 

X

X

(X)

  

Movie (or Dynamic Map)

X

 

X

X

 

 

Volume (& 3D-shapes)

 

 

X

X

X (including Sparse)

 
Cube..... 
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1 Comment

  1. ev added in 2018 for events

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