RADARSAT Constellation, the successor to RADARSAT-2, will use a constellation of three small satellites to provide greater coverage while minimizing service interruptions and is expected to launch in 2018.
Main Article: RADARSAT-1
The RADARSAT-1 project consisted of collaboration between the Canadian federal government and provinces, the United States, and the private sector. The goal of this project was to produce a satellite for earth observation by way of a Synthetic Aperture Radar, which is an advanced radar sensor and powerful microwave instrument capable of producing high quality images of the Earth during day or night and across a wide range of weather conditions including cloud cover, smoke, and haze. As a result of the versatility of RADARSAT-1, it has proven highly beneficial to both commercial and scientific users.
Main Article: RADARSAT-2
RADARSAT-2 was constructed with several improvements over the RADARSAT-1 project, making it one of the most advanced radar imaging satellites in the world. Some of the improvements over RADARSAT-1 include increased spatial resolution, multiple polarization filters, solid state recorders, and a GPS receivers on-board.
RADARSAT International (RSI) was formed in 1989 to market, process, and distribute data from RADARSAT-1. It was owned by a consortium of aerospace companies consisting of MDA, Spar Aerospace, COM DEV International, and Lockheed Martin.
RSI provided Earth-observation data and derived information products from RADARSAT-1 along with data from other commercially available Earth-observation satellites including Landsat 4, Landsat 5, Landsat 7, IKONOS, IRS, ERS, QuickBird, and ENVISAT.
MDA GSI holds the operating license for RADARSAT-2 under contract from the Canadian Space Agency.
The Canadian Ice Service (CIS) is one of the largest processors of the RADARSAT data. Once the CIS has processed the data at the Canadian Center for Data Processing (CCTD) in Gatineau, Quebec, it is then provided to clients such as the Canadian Coast Guard (CCG). Since RADARSAT data is readily available in near-real time, it is one of the best source of information to use for coastal monitoring, ship detection and maritime ice navigation.