A specification for describing space-based ISR collection assets – Definitions, documentation, and application to mission planning software


  1. Nandlall, S.D.
  2. Secker, J.
  3. Salciccioli, M.A.
  4. Dessureault, D.
  5. Roy, J.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
The Commercial Satellite Imagery Acquisition Planning System (CSIAPS), developed by Defence Research and Development Canada (DRDC), is a Research and Development (R&D) prototype system for multi-satellite collection planning and simulation. The database of collection assets in CSIAPS is formatted according to the Collection Asset Specification (CAS) data structure presented in this document. The CAS was developed to provide a common framework and database for describing remote sensing collection assets as well as the relationships between these assets. The CAS database, developed as a service on a service-oriented architecture, holds multiple technical parameters (e.g., spatial resolution, swath width, and polarization options) and administrative parameters (e.g., cost, lead time, latency, and license) for constellations, satellites, sensors, and data, as well as for the satellite owners and operators. The underlying data model for the CAS is designed to be sensor-agnostic, in order to hold information on a wide range of collection assets. The objective of this report is to describe the development of the CAS data structure as well as document all of the parameters that the CAS contains. The overall data structure and its implementation as a graph-based knowledge ontology are discussed, and definitions for all of the nodes and property parameters in the CAS data structure are provided. The CAS is shown to provide machine interpretable definitions of key concepts in remote sen

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Report Number
DRDC-RDDC-2018-D168 — Reference Document
Date of publication
01 Jan 2019
Number of Pages
Electronic Document(PDF)

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