Typically, there is a tendency to conceptualize rivers as simplistic channels. However, rivers are best envisioned as corridors, which emphasizes interactions. Within a particular catchment, river corridors are spaces of interaction between the physical (process and form), biota, and floodplain. Within the river corridor, a feedback mechanism exists between the water, the channel morphology, and interactions with living organisms. Therefore, the river corridor operates within what is referred to as degrees of connection[1]. These connections are the upstream-downstream connection, floodplain–river channel connection, hyporheic zone, uplands–river channel, a vertical connection, water, sediments, and other fluxes as they move in and out of the river channel. This viewpoint of rivers as corridors with various interconnected components helps bridge dominant paradigms from individual disciplines[2]: hydrology, geomorphology, and ecology. Remote sensing of fluvial environments is a methodological approach to river monitoring that helps develop predictive models and build algorithms that could enhance river assessment across river corridors[3]. The ability to successfully monitor river corridors using non-intrusive techniques strengthens our understanding of eco-geomorphological processes. It contributes to biomonitoring and a comprehensive understanding of human-environmental interactions[4]. This session will focus on practical and efficient ways to map and monitor river corridors using optical and radar sensors across various platforms (airborne and satellite) coupled with machine learning algorithms, flume experiments, and hydrological modeling.