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Datacube Extension Specification

This document explains the Datacube Extension to the SpatioTemporal Asset Catalog (STAC) specification. It specifies datacube related metadata, especially their dimensions and potentially more in the future.

Item Properties and Collection Fields

These fields may be added to either Item Properties or a Collection.

Field Name Type Description
cube:dimensions Map<string, Dimension Object> REQUIRED. Uniquely named dimensions of the datacube.
cube:variables Map<string, Variable Object> Uniquely named variables of the datacube.

The keys of cube:dimensions and cube:variables should be unique together; a key like lat should not be both a dimension and a variable.

Dimension Object

A Dimension Object comes in different flavors, each of them is defined below. The fields define mostly very similar fields, but they differ slightly depending on their use case. All objects share the fields type and description with the same definition, but type may be restricted to certain values. The definition ofaxis is shared between the spatial dimensions, but restricted to certain values, too. extent, values and step share the same definition, but differ in the supported data types (number or string) depending on the type of dimension. Whenever it's useful to specify these fields, the objects add the additional fields reference_system and unit with very similar definitions across the objects.

Horizontal Spatial Dimension Object

A spatial dimension in one of the horizontal (x or y) directions.

Field Name Type Description
type string REQUIRED. Type of the dimension, always spatial.
axis string REQUIRED. Axis of the spatial dimension (x, y).
description string Detailed multi-line description to explain the dimension. CommonMark 0.29 syntax MAY be used for rich text representation.
extent [number] REQUIRED. Extent (lower and upper bounds) of the dimension as two-dimensional array. Open intervals with null are not allowed.
values [number] Optionally, a set of all potential values.
step number|null The space between the values. Use null for irregularly spaced steps.
reference_system string|number|object The spatial reference system for the data, specified as numerical EPSG code, WKT2 (ISO 19162) string or PROJJSON object. Defaults to EPSG code 4326.

Vertical Spatial Dimension Object

A spatial dimension in vertical (z) direction.

Field Name Type Description
type string REQUIRED. Type of the dimension, always spatial.
axis string REQUIRED. Axis of the spatial dimension, always z.
description string Detailed multi-line description to explain the dimension. CommonMark 0.29 syntax MAY be used for rich text representation.
extent [number|null] If the dimension consists of ordinal values, the extent (lower and upper bounds) of the values as two-dimensional array. Use null for open intervals.
values [number|string] A set of all potential values, especially useful for nominal values.
step number|null If the dimension consists of interval values, the space between the values. Use null for irregularly spaced steps.
unit string The unit of measurement for the data, preferably compliant to UDUNITS-2 units (singular).
reference_system string|number|object The spatial reference system for the data, specified as numerical EPSG code, WKT2 (ISO 19162) string or PROJJSON object. Defaults to EPSG code 4326.

An Vertical Spatial Dimension Object MUST specify an extent or a set of values. It MAY specify both.

Temporal Dimension Object

A temporal dimension based on the ISO 8601 standard. The temporal reference system for the data is expected to be ISO 8601 compliant (Gregorian calendar / UTC). Data not compliant with ISO 8601 can be represented as an Additional Dimension Object with type set to temporal.

Field Name Type Description
type string REQUIRED. Type of the dimension, always temporal.
description string Detailed multi-line description to explain the dimension. CommonMark 0.29 syntax MAY be used for rich text representation.
extent [string|null] REQUIRED. Extent (lower and upper bounds) of the dimension as two-dimensional array. The dates and/or times must be strings compliant to ISO 8601. null is allowed for open date ranges.
values [string] If the dimension consists of set of specific values they can be listed here. The dates and/or times must be strings compliant to ISO 8601.
step string|null The space between the temporal instances as ISO 8601 duration, e.g. P1D. Use null for irregularly spaced steps.

Additional Dimension Object

An additional dimension that is not spatial, but may be temporal if the data is not compliant with ISO 8601.

Field Name Type Description
type string REQUIRED. Custom type of the dimension, never spatial.
description string Detailed multi-line description to explain the dimension. CommonMark 0.29 syntax MAY be used for rich text representation.
extent [number|null] If the dimension consists of ordinal values, the extent (lower and upper bounds) of the values as two-dimensional array. Use null for open intervals.
values [number|string] A set of all potential values, especially useful for nominal values.
step number|null If the dimension consists of interval values, the space between the values. Use null for irregularly spaced steps.
unit string The unit of measurement for the data, preferably compliant to UDUNITS-2 units (singular).
reference_system string The reference system for the data.

An Additional Dimension Object MUST specify an extent or a set of values. It MAY specify both.

Variable Object

A Variable Object defines a variable (or a multi-dimensional array). The variable may have dimensions, which are described by Dimension Objects.

Field Name Type Description
dimensions [string] REQUIRED. The dimensions of the variable. This should refer to keys in the cube:dimensions object or be an empty list if the variable has no dimensions.
type string REQUIRED. Type of the variable, (data, auxiliary).
description string Detailed multi-line description to explain the dimension. CommonMark 0.29 syntax MAY be used for rich text representation.
extent [number|null] If the dimension consists of ordinal values, the extent (lower and upper bounds) of the values as two-dimensional array. Use null for open intervals.
values [number|string] A set of all potential values, especially useful for nominal values.
step number|null If the dimension consists of interval values, the space between the values. Use null for irregularly spaced steps.
unit string The unit of measurement for the data, preferably compliant to UDUNITS-2 units (singular).

type: The Variable type indicates whether what kind of variable is being described, using the terminology from the CF Conventions. A data variable typically represents some physical quantity being measured.

An auxiliary coordinate variable is defined as

Any netCDF variable that contains coordinate data, but is not a coordinate variable (in the sense of that term defined by the NUG and used by this standard - see below). Unlike coordinate variables, there is no relationship between the name of an auxiliary coordinate variable and the name(s) of its dimension(s).

For reference, a coordinate variable is defined as

a one-dimensional variable with the same name as its dimension [e.g., time(time) ], and it is defined as a numeric data type with values that are ordered monotonically. Missing values are not allowed in coordinate variables.

In the datacube STAC extension, coordinate variables should be provided by cube:dimensions.

Contributing

All contributions are subject to the STAC Specification Code of Conduct. For contributions, please follow the STAC specification contributing guide Instructions for running tests are copied here for convenience.

Running tests

The same checks that run as checks on PR's are part of the repository and can be run locally to verify that changes are valid. To run tests locally, you'll need npm, which is a standard part of any node.js installation.

First you'll need to install everything with npm once. Just navigate to the root of this repository and on your command line run:

npm install

Then to check markdown formatting and test the examples against the JSON schema, you can run:

npm test

This will spit out the same texts that you see online, and you can then go and fix your markdown or examples.

If the tests reveal formatting problems with the examples, you can fix them with:

npm run format-examples