###### Abstract
Moreover, the availability of rich archive data will enhance multi-temporal analysis techniques and further improve knowledge on the time evolution of a river's hydomorphology [8]. The use of multispectral imagery requires cloud-free data, a condition which is difficult to capture in northern regions with past and currently available satellites. Alternatively, microwave remote sensing using synthetic aperture radar (SAR) overcomes these limitations by offering valuable geophysical parameters with a high frequency revisit in all-weather and daylight-independent conditions. In the Mackenzie River area, studies involving the use of remote sensing SAR techniques include interferometric SAR (InSAR) for the detection of temporal change in ice cover and the mapping of ice cover thickness [9], as well as polarimetric decomposition to investigate the change in land-cover in the Mackenzie delta region [10]. A multi-sensor approach was also investigated to study the changes of surface water dynamics by combining multi-satellite information from MODIS, ERS, and Envisat in the Mackenzie Delta [11]. Since 2014, CHS has been using remote sensing data to monitor and chart the dynamic shoreline of the Mackenzie River [12; 13]. Using a remote sensing approach, CHS has identified changes along the Mackenzie River that need to be updated annually. Under the Government Related Initiatives Program (GRIP) of the Canadian Space Agency (CSA), CHS has conducted investigations of the potential of multiple satellite remote sensing (SRS) techniques to update CHS products. CHS has demonstrated that through the use of SRS for coastline extraction and bathymetry estimation (via satellite derived bathymetry: SDB), it is possible to achieve the accuracies necessary for use on navigational charts [12; 13; 14]. These results show that SRS is a valuable tool for charting applications and support the investigation of SRS techniques for coastal change analysis. The main sensors used by CHS for updating charts include: RADARSAT-2, Landsat, Sentinel-1, Sentinel-2, Pleiades, WorldView, GeoEye, RapidEye, SPOT and PlanetScope. This multi-sensor approach allows CHS to leverage the advantages of optical and SAR data for the improved identification of coastal changes. An example of this is the significant temporal archive of the Landsat program which allows for the evaluation of historical change, enabling a long-term rate of change understanding to be achieved. RADARSAT-2's all-weather imaging capabilities support change monitoring in challenging environments, particularly the Arctic. High Resolution (HR) sensors, such as Pleiades and WorldView,allow for the accurate identification of artificial landscape changes (e.g. wharf construction), as well as high precision evaluation of natural changes for large scale charts (e.g. shoul movement, erosion). Furthermore, the success of the RADARSAT-2 program has led to the upcoming Canadian RADARSAT Constellation Mission (RCM). RCM was launched successfully into space on June 12, 2019 [15]. The three satellites are currently in the commissioning period; therefore, imagery should be available 3-6 months after the launch. The RCM is a combination of three SAR satellites with a high revisit frequency (four days). The three satellites will be equipped with traditional linear and dual polarization configurations (HH [horizontal transmit and horizontal receive], HV [horizontal transmit and vertical receive], VV [vertical transmit and vertical receive], HH-HV and VV-VH [vertical transmit and horizontal receive], HH-VV) in addition to the new compact polarimetric (CP) mode (i.e., hybrid dual polarization) and the fully-polarimetric (FP) configuration [16]. RCM's rapid revisit and its wider swath capabilities will greatly enhance monitoring and rapid change detection applications compared to the 24-day repeat cycle of RADARSAT-2.