Company Filing History:
Years Active: 2025
Title: Lyndsay Morrison: Innovator in Flood Hazard Estimation
Introduction
Lyndsay Morrison is a prominent inventor based in Toronto, Canada. She has made significant contributions to the field of flood hazard estimation through her innovative patent. Her work focuses on utilizing machine learning and satellite data to enhance the accuracy of flood hazard assessments.
Latest Patents
Lyndsay holds a patent for "Systems and methods for generating flood hazard estimation using machine learning model and satellite data." This invention provides a system and method for flood hazard estimation by inputting a satellite elevation map and applying a machine learning model. The output is a geographic map that represents flood hazard areas. The machine learning model is trained using a generative adversarial network (GAN) to produce results from a deterministic hazard mapping algorithm. The method involves retrieving a DEM topography file that represents elevation data of a specific terrain and applying a sink-filling algorithm to detect and fill sinks in the DEM topography. The algorithm generates a flood hazard map by merging the filled topography and the DEM elevation data, using a weighting function that balances the detected sinks and the flattest regions of the filled topography. Lyndsay has 1 patent to her name.
Career Highlights
Lyndsay is currently employed at the Bank of Montreal, where she applies her expertise in machine learning and data analysis. Her innovative approach to flood hazard estimation has positioned her as a leader in her field.
Collaborations
Lyndsay collaborates with talented individuals such as Kian Kenyon-Dean and Bo Zhao, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Lyndsay Morrison is a trailblazer in the realm of flood hazard estimation, leveraging advanced technologies to create impactful solutions. Her contributions are paving the way for more accurate and efficient flood risk assessments, ultimately benefiting communities at risk.