Real-Time Integration of Geospatial Raster and Point Data Streams
Sensor and network technology advances are increasingly placing an immense amount of real-time geospatial data streams at the scientist’s disposal. The effective integration and assimilation of such datasets, however, is still a challenging goal. In this paper, we describe a computational framework that simplifies the design, execution, and visualization of processing workflows involving the integration of satellite raster and ground point data streams. The framework is enabled for interoperability by adhering to open sensor data standards, and demonstrated with the evaluation of key environmental inputs needed for the estimation of reference evapotranspiration over California.
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