Characterization of the banks of the fluvial part of the St. Lawrence and analysis of the evolution of hydro-climatic factors influencing erosion and flooding hazards
Datasets available for download
-
Shoreline characterization - TCR du Lac Saint-PierreFGDB/GDB
-
Characterization of shorelines - TCR de QuébecFGDB/GDB
-
Shoreline characterization - TCR...FGDB/GDB
-
Characterization of banks - TCR de l'Estuaire fluvialFGDB/GDB
-
Original metadata (https://www.donneesquebec.ca)HTML
-
Description sheets of sites vulnerable to...JPEG
-
Description sheets of sites vulnerable to...JPEG
-
Fact sheets on sites vulnerable to erosion -...JPEG
-
Description sheets of sites vulnerable to...JPEG
-
Shoreline characterization - TCR du Lac Saint-PierreKMZ
-
Characterization of shorelines - TCR de QuébecKMZ
-
Characterization of shorelines -TCR of...KMZ
-
Characterization of banks - TCR de l'Estuaire fluvialKMZ
-
Characterization of the banks of the fluvial...PDF
-
Summary of the needs mentioned by the actors...PDF
-
Technical report on future trends in the main...PDF
Additional Info
Field | Value |
---|---|
Last Updated | October 22, 2024, 15:20 (UTC) |
Created | October 1, 2024, 06:46 (UTC) |
Domain / Topic
Domain or topic of the dataset being cataloged.
|
Geoscientific Information |
Description
A description of the dataset.
|
As part of measure 2.6 of the 2013-2020 Climate Change Action Plan, the MELCC financed two projects specific to the St. Lawrence river section and aimed at supporting municipalities facing the risks of erosion and flooding. The team from the Marine Geosciences Laboratory of the Department of Geography at Laval University has set up an essential geospatial information base for assessing the risks associated with the erosion of the banks of the St. Lawrence river section. The user will be able to find there (i) the mapping of the classification of the shore (types of banks and their artificialization), (ii) the degradation conditions of artificial structures and (iii) the state of erosion of natural or artificial segments. The sectors most vulnerable to erosion have also been mapped and documented with image quality sheets. These sheets present the characteristics of the shoreline and the main natural (currents, ice, etc.) and human geomorphological processes (currents, ice, etc.) associated with bank erosion for these nerve sectors, in order to better represent local dynamics. The geospatial data associated with shoreline mapping, the quality sheets and the project report, which includes the description of the methodology and results, are available for download. The second project is led by Ouranos and aims to reduce the vulnerability to floods and erosion associated with climate change for communities bordering the St. Lawrence river section. The user will be able to consult two reports resulting from this project: a. Technical report on future trends in the main hydro-climatic factors that influence natural flood risks and bank erosion processes along the fluvial section of the St. Lawrence. The objectives of this report are to draw a portrait of these hazards, covering both the recent past and future projections (2050 and 2080). These factors range from large-scale phenomena, such as the spring flood of the St. Lawrence River or marine uplift, to local phenomena such as freeze-thaw processes that affect clay cliffs and microcliffs. b) Summary of the needs mentioned by the actors of the regional round tables (TCRs) to adapt shoreline communities to the risks of bank erosion and flooding. This report presents a portrait of the participants of the four workshops organized in the fall of 2018, the approach used for the consultation and a summary of the needs expressed. The lists of participants and the detailed reports of each workshop are also included in the annex to this document. The TCRs consulted during these workshops are those of Haut-Saint-Laurent — Greater Montreal, Lac Saint-Pierre, the fluvial estuary and the TCR of Quebec.This third party metadata element was translated using an automated translation tool (Amazon Translate). |
Tags
Keywords/tags categorizing the dataset.
|
|
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
|
|
Dataset Size
Dataset size in megabytes.
|
|
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
|
|
Published Date
Published date of the dataset.
|
2020-05-29 |
Time Period Data Span (start date)
Start date of the data in the dataset.
|
|
Time Period Data Span (end date)
End date of time data in the dataset.
|
|
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
|
Field | Value |
---|---|
Access category
Type of access granted for the dataset (open, closed, service, etc).
|
|
License
License used to access the dataset.
|
Creative Commons 4.0 Attribution (CC-BY) licence – Quebec |
Limits on use
Limits on use of data.
|
|
Location
Location of the dataset.
|
|
Data Service
Data service for accessing a dataset.
|
|
Owner
Owner of the dataset.
|
Government and Municipalities of Québec | Gouvernement et municipalités du Québec |
Contact Point
Who to contact regarding access?
|
Government and Municipalities of Québec; Government and Municipalities of Québec; Ministère de l’Environnement, Lutte contre les changements climatiques, Faune et Parcs, donnees.ouvertes@environnement.gouv.qc.ca |
Contact Point Email
The email to contact regarding access?
|
|
Publisher
Publisher of the dataset.
|
|
Publisher Email
Email of the publisher.
|
donnees.ouvertes@environnement.gouv.qc.ca |
Accessed At
Date the data and metadata was accessed.
|
Field | Value |
---|---|
Identifier
Unique identifier for the dataset.
|
|
Language
Language(s) of the dataset
|
|
Link to dataset description
A URL to an external document describing the dataset.
|
|
Persistent Identifier
Data is identified by a persistent identifier.
|
|
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
|
|
Contains data about individuals
Does the data hold data about individuals?
|
|
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
|
|
Contains Indigenous Data
Does the data hold data about Indigenous communities?
|
Field | Value |
---|---|
Source
Source of the dataset.
|
https://open.canada.ca/data/en/dataset/8301c7ed-6b27-4319-9150-435246634b90 |
Version notes
Version notes about the dataset.
|
|
Is version of another dataset
Link to dataset that it is a version of.
|
|
Other versions
Link to datasets that are versions of it.
|
|
Provenance Text
Provenance Text of the data.
|
|
Provenance URL
Provenance URL of the data.
|
|
Temporal resolution
Describes how granular the date/time data in the dataset is.
|
|
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
|
|
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
|
Field | Value |
---|---|
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
|
|
Community Permission
Community permission (who gave permission).
|
|
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
|
Field | Value |
---|---|
Number of data rows
If tabular dataset, total number of rows.
|
|
Number of data columns
If tabular dataset, total number of unique columns.
|
|
Number of data cells
If tabular dataset, total number of cells with data.
|
|
Number of data relations
If RDF dataset, total number of triples.
|
|
Number of entities
If RDF dataset, total number of entities.
|
|
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
|
|
Data quality
Describes the quality of the data in the dataset.
|
|
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
|
0 Comments