This dataset is archived, please refer to: - [Collection – Flood Susceptibility Mapping]( https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc) for the new release.This national map of flood susceptibility or flood prone areas is based on patterns of historic flood events as predicted by an ensemble machine learning model.The recommended use is national, provincial or regional scale and can be used as a guide for identifying areas for further investigation. The Flood Susceptibility Index (FSI) Dataset, while processed and available at 30m cell size, is not recommended for use at the pixel or street level, given the uncertainty in the modelling process and the variability of results as discussed in https://www.mdpi.com/2673-4931/25/1/18 .For additional details on the methods, tests, models and datasets used to generate this data layer, please see https://geoscan.nrcan.gc.ca/starweb/geoscan/servlet.starweb?path=geoscan/fulle.web&search1=R=329493

A national map of flood susceptibility or flood prone areas based on patterns of historic flood events as predicted by an ensemble machine learning model. The recommended use is national, provincial or regional scale and can be used as a guide for identifying areas for further investigation. This dataset, while processed and available at 30m cell size, is not recommended for use at the pixel or street level, given the uncertainty in the modelling process and the variability of results as discussed in https: **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The Flood Hazard Map Index provides awareness of the areas at risk of flooding and support for improved decision making for activities and development in flood prone areas. Scanned, black and white images of New Brunswick Flood Risk Map Sheets.

This collection of flood susceptibility products captures temporal patterns of historic flood events from 2000 to 2023, derived from flood susceptibility maps. The layers are designed to support decision-making by providing easily interpretable information for planning, screening, and other management purposes.This collection contains several datasets which explore the suite of rasters from 2000 to 2023:- Extreme wet and extreme dry years and the associated average flood susceptibility, processed by NHN WU, as found by Generalized Extreme Value (GEV) analysis- Flood susceptibility envelope, which is derived from the above wet and dry years- Trend slope, for each pixel the value for each year is extracted and the linear trend is computed, greater than 1000 is increasing flood susceptibility and below 1000 is decreasing flood susceptibility. - Trend Class, as identified by wet and dry scores, applied to NHN WU- Current flood susceptibility, which represents the estimated average value of present-day flood susceptibility- Current interquartile range, which provides and indication of the temporal variability of a given pixel under the current regime.This dataset forms part of a broader collection of flood susceptibility datasets, offering related information and analyses. The collection includes an overview page with associated publications, historic susceptibility values, temporal trends, and future projections.- **[Collection - Flood Susceptibility Mapping](https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc)**- **[Historic - Flood Susceptibility Mapping](https://open.canada.ca/data/en/dataset/ea1384df-bf4a-4743-97bb-870dc43f8d77)**- **[Future - Flood Susceptibility Mapping](https://open.canada.ca/data/en/dataset/c00f95a3-7bab-4d28-b9cc-b30f06b5afd2)**

This series of historic flood susceptibility maps comes from an XGBboost machine learning model trained on major floods from 2005 to 2023. The trained model is then run for each year from 2000 to 2023, including unique temporal characteristics of temperature, precipitation, land use land cover and Normalized Difference Vegetation Index (NDVI), to predict the flood susceptibility of any given year.This dataset forms part of a broader collection of flood susceptibility datasets, offering related information and analyses. The collection includes an overview page with associated publications, historic susceptibility values, temporal trends, and future projections.- [Collection – Flood Susceptibility Mapping]( https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc)- [Trends and Extremes – Flood Susceptibility Mapping]( https://open.canada.ca/data/en/dataset/3202e0a0-0afb-4120-b102-b0c41f0fb9eb)- [Future - Flood Susceptibility Mapping]( https://open.canada.ca/data/en/dataset/c00f95a3-7bab-4d28-b9cc-b30f06b5afd2)

The [Teslin flood hazard mapping study](https://floods.service.yukon.ca/pages/final-flood-maps) was completed between May 2023 and October 2024. Learn more by visiting the [Yukon Flood Hub](https://floods.service.yukon.ca).In the Resources section below, you can find the project summary, technical report, "What We Heard" report, GIS data files, and flood maps for specific areas."AEP" in the flood map filenames below refers to "Annual Exceedance Probability", the annual likelihood of a flood occurring, expressed as a percentage.The flood scenarios used for mapping in the Yukon are the following:- 0.5% event (1-in-200 chance of occurring in any year),- 1% event (1-in-100 chance of occurring in any year), and- 5% event (1-in-20 chance of occurring in any year).For more information see [What is flood mapping?](https://floods.service.yukon.ca/pages/flood-mapping) or email [FloodMapping@yukon.ca](mailto:floodmapping@yukon.ca).### See also- [Carmacks flood hazard maps](https://open.yukon.ca/data/carmacks-flood-hazard-maps)- [Dawson City / Klondike Valley flood hazard maps](https://open.yukon.ca/data/dawson-city-klondike-valley-flood-hazard-maps)- [Old Crow flood hazard maps](https://open.yukon.ca/data/old-crow-flood-hazard-maps)- [Southern Lakes flood hazard maps](https://open.yukon.ca/data/southern-lakes-flood-hazard-maps)- [Upper Liard flood hazard maps](https://open.yukon.ca/data/upper-liard-flood-hazard-maps)

Data on flood zones include mapping carried out as part of the mapping program of the Canada-Quebec Convention from 1976 to 2001, the Program for the determination of flood ratings from 2001 to 2004 (PDCC), as well as the mapping carried out after that date by the Centre d'expertise du Québec (CEH) and its various partners.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The [Upper Liard flood hazard mapping study](https://floods.service.yukon.ca/pages/final-flood-maps) was completed between May 2025 and March 2026. Learn more by visiting the [Yukon Flood Hub](https://floods.service.yukon.ca).In the resources section below, you can find the project summary, technical report, "What We Heard" report, GIS data files, and flood maps for specific areas."AEP" in the flood map filenames below refers to "Annual Exceedance Probability", the annual likelihood of a flood occurring, expressed as a percentage.The flood scenarios used for mapping in the Yukon are the following:- 0.5% event (1-in-200 chance of occurring in any year),- 1% event (1-in-100 chance of occurring in any year), and- 5% event (1-in-20 chance of occurring in any year).For more information see [What is flood mapping?](https://floods.service.yukon.ca/pages/flood-mapping) or email [FloodMapping@yukon.ca](mailto:FloodMapping@yukon.ca).### See also- [Carmacks flood hazard maps](https://open.yukon.ca/data/datasets/carmacks-flood-hazard-maps)- [Dawson City / Klondike Valley flood hazard maps](https://open.yukon.ca/data/dawson-city-klondike-valley-flood-hazard-maps)- [Old Crow flood hazard maps](https://open.yukon.ca/data/old-crow-flood-hazard-maps)- [Southern Lakes flood hazard maps](https://open.yukon.ca/data/datasets/southern-lakes-flood-hazard-maps)- [Teslin flood hazard maps](https://open.yukon.ca/data/datasets/teslin-flood-hazard-maps)

A national map of flood susceptibility or flood prone areas based on patterns of historic flood events as predicted by an ensemble machine learning model. The recommended use is national, provincial or regional scale and can be used as a guide for identifying areas for further investigation. This dataset, while processed and available at 30m cell size, is not recommended for use at the pixel or street level, given the uncertainty in the modelling process and the variability of results as discussed in https: **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

Areas that may be occasionally flooded.attributs:ID - Unique IdentifierMunicipality - Municipality CodeType - Type of areas according to the recurrence of flooding**This third party metadata element was translated using an automated translation tool (Amazon Translate).**