The level of water near a railway track can be a major factor affecting the safety of train passage. The closure of several main rail lines in British Columbia in autumn of 2021 is the most recent example of the effect of flooding and washout on train operations and the dependency of the supply chain on reliable and efficient railway transportation. Such extreme weather events are expected to become more frequent and severe under the future climate, affecting the resiliency of transportation infrastructure including railways. To improve the resiliency of railway operation, it is imperative to explore and employ the potential of emerging technologies for improved water detection and inspection near railway tracks. The National Research Council Canada (NRC) and Transport Canada (TC) in collaboration with VIA Rail Canada and Applied Remote Sensing Lab (ARSL) at McGill University have been working to evaluate the potential of satellite, UAV, and instrumented hi-rail truck measurements to inspect water near railway tracks through field trials. The results of this project provided valuable information regarding the operational challenges of the three studied platforms (satellite, UAV, and hi-rail truck), the advantages and limitations of the measurements from each platform, the minimum specifications required to create certain types of products, the challenges in developing highly effective AI algorithms, and the potential of the products for monitoring other track features. However, the framework of technology specific methodologies for data collection, processing, and analysis proposed in this phase needs to be further developed so that the technologies can be used/applied at larger scale. This report describes the testing program, equipment used, data processing methodologies, results and the lesson learned during this project.