This dataset contains information on flood protection structures (IPAs) listed in Quebec. For example, they may be embankment dikes or protective walls.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

A Retaining Wall is a structure designed to protect the road infrastructure by retaining materials on the fill side to prevent road bed slips and by retaining materials on the cut side to prevent the road surface from being covered by debris. Retaining walls that are greater than or equal to 2m in height are stored in the MoT Bridge Structure Road dataset. It is a Linear feature

Delineation of areas potentially exposed to landslides and protective bands.attributs:ID - Unique IdentifierType - Entity type**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Delimitation of protective areas for surface drinking water withdrawals forThe territory of the City of Rouyn-Noranda**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This map displays an assessment of soil erosion risk for the agricultural area of Alberta. Loss of protective residue cover through cultivation will increase the potential risk of soil erosion. The vulnerability of the soil to erosion combined with the intensity of cultivation determines the degree to which the soil may be at risk. The classes shown on the map were ranked from 0 (lowest risk) to 1 (highest risk). This resource was created in 2002 using ArcGIS.

This project generated unique numerical codes at the pixel level to provide wall-to-wall coverage of 128 unique Catchment Structural Units (CSUs) codes based on land use-land cover (LULC), surficial geology, wetlands and slope across the Province. The Provincial CSU layer represents the quantification of combined structural influences at an individual pixel scale, as expressed by a specific numeric and text code. These codes reflect the geospatial layers used to represent catchment structure. The CSU data is presented at a pixel resolution of 20 x 20 m and five initial structural layers (i.e., land cover, land use, surficial geology, wetlands and slope). This resolution was chosen to balance detail with computational efficiency. Each class within the structural layers were assigned unique numeric codes of different orders of magnitude.

Forests cover large areas of Canada but only some of these forests are actively managed. The Map of Forest Management in Canada provides a generalized classification of forest management in Canada, including: protected areas, Treaty/Settlement Lands (including Treaty Lands identified in Final Agreements, Land Claim Agreements and Settlements), Indian Reserves, other federal reserves (including military training areas), provincial and territorial reserves and restricted use areas, private lands, short- and long-term Crown forest tenure areas and areas with no current Crown timber dispositions. The Managed Forest Map of Canada dataset provides a wall-to-wall classification of lands in Canada. It does not differentiate areas of forest from non-forest. The Managed Forest Map of Canada differs from maps defining the area designated as “managed forest” for greenhouse gas inventory reporting purposes and does not replace those maps. Instead, the Managed Forest Map of Canada shows areas that are currently managed, as of June 2017, and provides generalized management type classification for those areas. Collaborating agencies plan to update the dataset periodically as needed, and remain open to receiving advice from experts concerning refinement priorities for future versions.

Location of the first nine walls dedicated to temporary graffiti and the first three walls dedicated to permanent graffiti inaugurated on August 13, 2012 by the City of Sherbrooke.Graffiti artists can use the walls dedicated to temporary works as they please. On the other hand, as for the walls allocated to permanent works, they must submit a sketch to the district where the wall in question is located. These various sites are identified by plaques inviting graffiti artists to give free rein to their creativity on the walls dedicated to temporary works and to respect permanent works by not graffiti on them.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). 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)

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. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). 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)