An observation filter is a generic filter that is used in many places where observations are processed. An observation filter can filter observations different characteristics. Table 1 describes the available filter options in more detail.
Characteristic |
Description |
Deleted observations |
Available options: •Only not deleted: Only not deleted observations will pass the filter •Only deleted: Only deleted observations will pass the filter •Deleted and not deleted: The deleted flag is not checked and deleted as well as non deleted observations will pass the filter |
Erroneous observations |
•Only not erroneous: Only observations not marked as erroneous will pass the filter •Only erroneous: Only observations marked as erroneous will pass the filter •Erroneous and not erroneous: The erroneous flag is not checked and erroneous as well as not erroneous observations will pass the filter |
Included approval status |
This filter allows to select a set of approval status. Only observations that are in one of the selected status will pass the filter. |
Time filter |
The time filter can be a dynamic or static time filter. Observations whose Sampling timestamp is in the selected times span will pass the filter |
Axis filter |
Allows the definition of a dynamic or static axis filter. This filter criteria only applies to features of a type that has spatial support on observations and that use an axis reference system for observation LSO. |
Table 1: Characteristics that can be used to filter observations with an observation filter.
