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.**

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 [Southern Lakes flood hazard mapping study](https://flood-atlas.service.yukon.ca/pages/final-flood-maps) was completed between November 2022 and April 2024. Learn more by visiting the [Yukon Flood Atlas](https://flood-atlas.service.yukon.ca/pages/final-flood-maps).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://flood-atlas.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)- [Teslin flood hazard maps](https://open.yukon.ca/data/datasets/teslin-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 [Teslin flood hazard mapping study](https://flood-atlas.service.yukon.ca/pages/final-flood-maps) was completed between May 2023 and October 2024. Learn more by visiting the [Yukon Flood Atlas](https://flood-atlas.service.yukon.ca/pages/final-flood-maps).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://flood-atlas.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)- [Southern Lakes flood hazard maps](https://open.yukon.ca/data/datasets/southern-lakes-flood-hazard-maps)

Representation of the causes of flooding events in the form of multiple points. The point groupings correspond to the set of locations that were affected by the same event. The inventory of past flooding events was compiled from various public sources and standardized into a common data model. Sources used are included in the data. Event locations have been extensively revised to have one location per location reported as affected by the flood. Flood events for which no location was included in the sources used are positioned on the place name of the location affected by the flood. The event positions do not indicate where the flooding occurred. Flood events that affected more than one locality are represented by a multipoint.For each event after January 1, 1980 caused by a heavy rainfall or a coastal storm , a precipitation analysis document, a precipitation animation and the precipitation data are available. These documents are the result of a collaboration with Environment and Climate Change Canada.Disclaimer:It should be noted that no consultation was conducted with the various providers and stakeholders of the historic flood data. Disparities in content among the various sources result in an incomlete product. No warranty is given as to the accuracy or completeness of the information provided. The absence of information does not mean that no flooding has occurred.

Existing flood protection works appurtenances on or near dikes, for example, pump house, floodbox, culvert, gate, gauge, weir, etc. Updated from available Provincial dike survey project data from 2019/2020. If 2019/2020 dike survey project data is unavailable, appurtenance data based on previous data from 2004 and prior. May include periodic updates depending on data provided by Diking Authorities and other sources. See Data Source under selected appurtenance for details. For more information on dike management and safety, please see: https://www2.gov.bc.ca/gov/content/environment/air-land-water/water/drought-flooding-dikes-dams/integrated-flood-hazard-management/dike-management For contact names regarding regional diking issues, please see: https://www2.gov.bc.ca/assets/gov/environment/air-land-water/water/integrated-flood-hazard-mgmt/dike_safety_program_contact_list.pdf

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).**

The purpose of this feature layer is to provide the 2009 overland flooding boundary in the Red River Valley.This dataset shows the extent of peak overland flooding in the Red River Valley in 20 09 . Data is based on RADARSAT – 1 satellite imagery. During processing, the raw data set was resampled to 12.5 meter pixel resolution, then classified using PCI Geomatica software which is a specialized software designed to manipulate space born imagery. The final output depicting the flooding boundary is available as a TIFF or Shapefile. Launched in November 1995, RADARSAT-1 was a Canadian-led project which provided useful information to both commercial and scientific users in such fields as disaster management, agriculture, cartography, hydrology, forestry, oceanography, ice studies and coastal monitoring. Equipped with a powerful synthetic aperture radar (SAR) instrument, it acquired images of the Earth day or night, in all weather and through cloud cover, smoke and haze. As of March 2013, the satellite was declared non-operational and is no longer collecting data. Many applications were developed to take advantage of RADARSAT-1 capacity for detecting the presence of water. These included monitoring flooding and the build-up of river ice, and mapping the melting of snow-covered areas. When used for flood monitoring, RADARSAT-1 data helped assess the impact of flooding, predicted the extent and duration of floodwaters, analyzed the environmental impact of water diversion projects, and developed flood mitigation measures. Fields Included:FID : Internal feature numberNAME : Flooded area nameAREA_SQKM : Size of flooded area