Completeness is a quality dimension that can apply to different data properties.The Data completeness is dealing with the completeness of an image, handling for example the effect of shadowing objects, sun flares on water surfaces or masking out by an object (e.g. propeller of a UAV). Spatial completeness is a feature on the area coverage. In photogrammetry (especially in stereophotogrammetry) its 3D version, the stereo completeness has extreme importance. In monitoring systems and applications the Temporal completenesster term features how the taken images represent a complete time series. The thematic completeness measure describes the image interpretation quality how the expected and defined classes are evaluated. This feature is important with the use of e.g. multiple classifiers.
Understand how limited temporal completness affects the usefulness of a time series analysis
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