Harmonizing and Extending Fragmented 100 Year Flood Hazard Maps in Canada’s Capital Region using Random Forest Classification : Flood susceptibility map generated using ML random forest model.

We used ML random forest classification to update and harmonize the existing fragmented flood hazard maps of the Ottawa River and fill in the spatial gaps between them in the Capital region of Canada. <br> <br>

本研究采用机器学习随机森林分类算法，对加拿大首都地区渥太华河现存的零散洪水灾害地图（flood hazard map）进行更新与统一协调，并填补各地图间的空间空白。