An observation capability spatio-temporal data model for cognition and expression of observation process

A large number of heterogeneous sensors are deployed in the geographic space. Observations are carried out all the time, forming massive time-series observation capability data. Observation capability is the most remarkable spatio-temporal feature of observation, which link the geographic phenomena in the real world with sensors, observation results, and sampling space-time to support the cognition of observation process and the retrieval, interpretation, and use of observation results. In this paper, the process of geospatial observation is analyzed and abstracted, and the data structure of observation capability spatio-temporal data is defined. On this basis, an observation capability spatio-temporal data model is proposed to efficiently manage multi-source, multi-dimensional, and long-time series observation capability spatio-temporal data.