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We have found 426 datasets for the keyword " flood screening". You can continue exploring the search results in the list below.
Datasets: 106,102
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426 Datasets, Page 1 of 43
STAC-Item - 2023 - Flood Susceptibility Trends and Extremes
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 third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
Trends and Extremes - Flood Susceptibility Mapping
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)**
STAC-Collection - Flood Susceptibility Trends and Extremes
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 third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
Historic - Flood Susceptibility Mapping
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)
Archived - Flood Susceptibility Index (FSI)
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
Database of areas at risk of flooding (BDZI)
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).**
Upper Liard flood hazard maps
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)
Water levels during a flood (since 2017)
The Ministry of Public Security (MSP) supports the development of knowledge of flood risks. In collaboration with Laval University and the Reunification of Quebec Basin Organizations, the MSP has developed a methodical and rigorous process for documenting floods that have an impact on the safety of people and essential goods.Thus, since 2017, the Ministry of Public Security (MSP) has been acquiring in certain cases data related to the water level reached when floods with proven consequences occur in southern Quebec. Maximum water levels are indicated by flood overflows.__What is a flood wasteland? __A flood (flood) is characterized by a rise in water on land that is usually dry, the reaching of a peak, then a descent of water (decline). Waste forms at the beginning of the flood when the water, when withdrawing, deposits materials that were in suspension or floating. These materials (mud, seeds, twigs and other debris) constitute flood wastes or flood plains.__Marking and surveying flood plains and water levels__The marking of floodplains and water levels takes place on the ground shortly after the peak of the flood. The physical indices of the maximum water level reached (abandoned by the flood) or of the current water levels are identified and marked using permanent markers (markers). Afterwards, a land surveyor will precisely record the location and the altitude of the markers. __Point dataset “Water levels during a flood"__The “Water levels during a flood” data set contains, for each marker, the date, altitude and location (measured by a land surveyor). There are two main types of observations made in the field: the natural flood defect (line of mud, seeds or trace of water) which indicates the maximum water level reached during the flood (called MAX) and the water level observed during the field visit (called CURRENT). The list of all attributes is provided in the dataset description sheet (Additional Information section).Despite the quality of the work carried out, the Ministry of Public Security cannot guarantee the absence of errors in the data.__Related datasets__ The “Flood markers” dataset produced by the Ministry of Public Security also contains maximum water levels reached during a flood. The link to this dataset is provided in the _Documentation_ section.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Flood markers
The Ministry of Public Security (MSP) supports the development of knowledge of flood risks. Flood markers make it possible to illustrate the water level reached during a very major flood and thus to raise public awareness of the risks associated with it while maintaining this awareness of risk in the collective memory. __What is a flood marker? __A flood marker is a physical mark (15 cm in diameter for the standard) testifying to the maximum level reached by a watercourse during a very significant flood on a given date. The flood marker is usually located at a permanent location and is easily visible to everyone, for example on the wall of a building or on a dedicated pole.__Point data set “Flood markers” __ The “Flood reference” data set contains, for each marker, the location, the date of the reference flood and the maximum water level reached. The list of all attributes is provided in the dataset description sheet (Additional Information section).Despite the quality of the work carried out, the Ministry of Public Security cannot guarantee the absence of errors in the data.__Related datasets__ The “Water levels during a flood” dataset produced by the Ministry of Public Security also contains maximum water levels reached during a flood. The link to this dataset is provided in the _Documentation_ section.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Canada Flood Map Inventory (CFM)
The Canada Flood Map inventory shows areas in Canada where a copy of a flood hazard map has been collected by Natural Resources Canada (NRCan). The inventory does not display flood zones or extents, but provides information on how to access these flood hazard maps. Depending on the license and availability status to the public, there may be links for download, along with reference information to the original source and/or data owner. NRCan collaborates with provincial and territorial governments to gather flood hazard maps from provinces, territories, municipalities, and other agencies responsible for flood mapping. The inventory is regularly updated to improve its completeness and accuracy. Disclaimer: The Canada Flood Map (CFM) does not include every flood hazard map in Canada and may be incomplete or contain inaccuracies. It should not be relied upon as the official source of flood mapping information. Furthermore, if a map appears to be missing, this does not necessarily mean that the area has never been mapped. For the official version of a map, updated information, or confirmation of applicable regulations, please contact the local authority responsible for flood mapping.Note: Data and maps in the Inventory can be made available upon request to federal and contributing partners.
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