Mapping of the perimeter of urbanization in the urban planning code (CDU) on the territory of Laval.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Central Group Caribou Partnership Agreement Zones are the spatial data associated with the *Intergovernmental Partnership Agreement for the Conservation of the Central Group of the Southern Mountain Caribou* (February 21, 2020). This most current version of the data was produced in July 2024.

Every year, since 1967, the Ministère des Forêts, de la Faune et des Parcs (MFFP) has been conducting an aerial survey of damage caused by the main insects and diseases that attack trees. This fact sheet focuses exclusively on data concerning damage caused by hemlock looper. The data is updated annually only in case damage is observed. The aerial survey is carried out in sectors previously determined according to the damage of the previous year, the results of inventories to predict the populations of this insect and the observations reported in the forest.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Flood tactical maps have currently been developed for the English River, Rainy River, Montreal River, Black River, Trent River, Madawaska, Magnetawan, Muskoka, Mississippi Valley, French, Sturgeon and Nippissing watersheds. The purpose of these maps is to show more succinctly the physiography of the region, the individual river watersheds, ongoing monitoring, location of dams, high risk dams/reservoirs and communities. We are no longer updating this data. It is best suited for historical research and analysis.

Soil Survey Project Boundaries (soil mapping study areas) contains the soil survey project area and attributes describing each project (project level metadata), plus links to the locations of other data associated with the project (e.g., soil survey reports, polygon datasets, plotfiles, scanned maps, legends). Soil Mapping divides the landscape into units according to soil association, name, type, drainage, parent material, and texture. This layer is derived from the STE_TEI_PROJECT_BOUNDARIES_SP layer by filtering on the PROJECT_TYPE attribute. Project types include: SOIL, TIMSOI, and SOILSW. Current version: v11 (published on 2024-10-03) Previous versions: v10 (published on 2023-11-14), v9 (published on 2023-03-01), v8 (published on 2016-09-01) The Soil Survey dataset contains project boundaries as well as the soil survey polygons which are available in a variety of formats including: 1) via the [Soil Information Finder Tool](http://www2.gov.bc.ca/gov/content/environment/air-land-water/land/soil-information-finder) Mapping App (interactive app), 2) [Soil Survey Spatial data](https://catalogue.data.gov.bc.ca/dataset/soil-survey-spatial-view) with [Soil Name and Layer Files](https://catalogue.data.gov.bc.ca/dataset/soil-name-and-layer-files) (for download or viewing via iMapBC), or as 3) [Soil Mapping Data Packages](http://www.env.gov.bc.ca/esd/distdata/ecosystems/Soil_Data/Soil_Data_Pkgs/) with geodatabase or shape files, and a data dictionary.

This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management. For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018). Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)

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

The porbeagle shark (Lamna nasus), is a species found in Atlantic Canadian waters which is encountered in commercial and recreational fisheries. Pop-up Satellite Archival Tags (PSAT) from Wildlife Computers were applied to porbeagle sharks from 2005 to 2021 to collect data on depth (pressure), temperature and ambient light level (for position estimation). Deployments were conducted in Canada and the Faroe Islands on commercial, recreational and scientific charters, typically in summer and fall but some over winter when the porbeagle commercial fishery was active in Canada. A variety of tag models were deployed: PAT 4 (n=1), Mk10 (N=41), and MiniPAT (N=15) and 51 of 57 tags reported. One individual shark was recaptured and the physical tag was returned. The porbeagle sharks tagged ranged in size from 76 cm to 249 cm Fork Length (curved); 42 were female, 15 were male. Time at liberty ranged from 4 – 356 days and 14 tags remained on for the programmed duration. Raw data transmitted from the PSAT’s after release was processed through Wildlife Computers software (GPE3) to get summary files, assuming a maximum swimming speed of 2m/s, NOAA OI SST V2 High Resolution data set for SST reference and ETOPO1-Bedrock dataset for bathymetry reference. The maximum likelihood position estimates are available in .csv and .kmz format and depth and temperature profiles are also in .csv format. Other tag outputs as well as metadata from the deployments can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.

The Agriculture Capability mapping dataset is the digitized equivalent of the legacy [Agriculture Capability Scanned Maps](https://catalogue.data.gov.bc.ca/dataset/agriculture-capability-scanned-maps), which date from the 1960's to the 1990s. Agriculture Capability mapping is also known as 'Soil Capability for Agriculture' and 'Agricultural Capability' mapping. Agricultural Capability is an interpreted mapping product based on soil and climate information. In general, climate determines the range of crops possible in an area and the soils determine the type and relative level of management practices required. This is legacy data and changes in climate are not reflected. For more information about the classification system see: [Land Capability Classification for Agriculture](http://www.env.gov.bc.ca/wld/documents/techpub/moe1/moem1.pdf). Use caution utilizing these legacy maps as the classifications were based on common land management practices and typical crops of the 1960s-1990s era, and subsequent site specific land management practices (e.g. installation of drainage) may have modified the soil conditions since the mapping was completed. This Agriculture Capability legacy mapping is included in the [Soil Information Finder Tool (SIFT) mapping application](https://www2.gov.bc.ca/gov/content?id=CD4CD7204C2143A1B25695B071AA989A). The SIFT application provides more detailed climate data (e.g. Growing Degree Days, Frost Free Period (5 C), (1960-1990 climate normals). The SIFT 'Soil query tools' may be useful for identifying areas with specific 'growing conditions' of interest based on soils present (soil name), soil texture, drainage, coarse fragment content, slope, elevation, growing degree days and frost free period. Note: This Agriculture Capability Mapping dataset is based on soil mapping at 1:100,000, 1:50,000 or 1:20,000 scale, and is more detailed than the 1:250,000 scale Canada Land Inventory (CLI) Agricultural Capability mapping (available [here](http://sis.agr.gc.ca/cansis/nsdb/cli/index.html)).

The Tesselle Forest Information System (SIFORT) is a system that was created in order to meet various needs for analysis and knowledge data on Quebec territory. SIFORT is a database composed of polygonal units of 15 seconds (latitude) by 15 seconds (longitude), whose average area is approximately 14 hectares. Information from the tesserla is obtained by assigning the forest data to the centroid of the tesserla. Thus, for each of the tesserae, we find information such as the type of cover, the type of disturbance of origin, the year of the disturbance, the species, the density, etc. This system integrates forest information from the various forest inventories (first, second, third, third, third, third, third, fourth and fifth inventories, when available) and offers the advantage of constituting a fixed analysis grid in space. Making it possible to relate the forest composition of the territory to the various natural disturbances (e.g. fire and insects) and forest interventions, SIFORT makes it possible to feed various statistical and temporal studies and analyses whose objective is to ensure the sustainable management of Quebec's forest territory.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**