Study Area defined in the Agreement to Conduct a Regional Assessment of Offshore Wind Development in Nova Scotia. The study area was created by the Impact Assessment Agency of Canada in collaboration with Natural Resources Canada and the province of Nova Scotia.

Study Area defined in the Agreement to Conduct a Regional Assessment of Offshore Wind Development in Newfoundland and Labrador. The study area was created by the Impact Assessment Agency of Canada in collaboration with Natural Resources Canada and the province of Newfoundland and Labrador.

Lines indicating the limits of the historical floodplain boundary study areas in BC. Digitized from hardcopy 1:5,000 Floodplain Mapsheets for each project area

Depicts priority area for work under the Regional Assessment of Offshore Wind Development in Newfoundland and Labrador. The Committee for the Regional Assessment of Offshore Wind Development in Newfoundland and Labrador (Committee) is responsible for providing information, knowledge and analysis regarding future offshore wind development (OSW) to inform and improve future planning, licencing and impact assessment processes. The Committee’s mandate is set out in the Agreement to Conduct the Regional Assessment of Offshore Wind Development in Newfoundland and Labrador (Agreement), and includes assessing potential environmental, health, social and economic effects of future OSW. The Agreement includes a broad Study Area. In November 2023, the Committee determined OSW interest in the foreseeable future is more likely within a portion of the Study Area set out in the Agreement. The Committee defined this portion of the Study Area as the assessment's Focus Area. The Committee continues to conduct the Regional Assessment (i.e., present information on existing conditions and consider potential impacts of OSW) within the Focus Area. The Committee's decision to define the Focus Area and supporting rationale is available here: https://iaac-aeic.gc.ca/050/evaluations/document/153431 The Agreement to conduct the Regional Assessment is available here: https://iaac-aeic.gc.ca/050/documents/p84343/147037E.pdf

This data report provides information on temperature and salinity in the Godbout region of the St. Lawrence Estuary. Sampling was carried out from 2019 to 2021 over an area of <5 km2. The databases provide information on temperature and salinity at an hourly rate for 2 years. The aim of this project is to analyze telemetry data from sea urchins (Strongylocentrotus droebachiensis), snow crabs (Chionoecetes opilio), rock crabs (Cancer irroratus), spider crabs (Hyas spp.) and whelks (Buccinum undatum). This report focuses on the presentation of benthic environmental data collected throughout the study with high spatial and temporal resolution. All reported variables were collected at the seafloor, as the aim of the project was to study the movement of epibenthic species. Temperature data were collected from three devices: telemetry receivers with integrated temperature sensors (InnovaseaTM), HoboTM and Star-OddiTM probes. Temperature data processing involved cleaning up extreme values (below 2°C and above 20°C) and homogenizing the data to fit the bathymetry matrix (1m x 1m cells) of the study site. Temperature data are provided in a NetCDF file with a matrix of the entire study site, where there is a stratum for each hour between August 2019 and October 2021 and in each file, a temperature value for each pixel of the raster. Salinity data were collected from Star-OddiTM probes only. Salinity values were averaged hourly for the entire study area. Salinity data is provided as a CSV file with one salinity value per hour for the entire study area.

This dataset is used is used to determine the significance or status of wetland classes and certain other natural heritage features. It is also used to set targets for Wilderness Class Provincial parks, State of the Forest reporting and to study natural disturbance regimes.

The spatial representation for a Natural Resource Area. An NR AREA is an amalgamation of all NR Regions within the supplied boundaries and acts as an administrative area to these regions as established by the Ministry. This dataset supersedes WHSE_ADMIN_BOUNDARIES.NRO_ADM_AREAS_SP

Study area of the Capital Urban Lands Plan as of 2015.https://ncc-ccn.gc.ca/our-plans/capital-urban-lands-planhttps://ncc-website-2.s3.amazonaws.com/documents/Capital-Urban-Lands-plan.pdf#page=10

TA_MGMT_AREAS_SPATIAL_SVW contains the spatial representation (polygon) of the management area boundaries established pursuant to section 3 of the Muskwa-Kechika Management Area Act. The view was created to provide a simplified view of this data from the administrative boundaries information in the Tantalis operational system

FCOVER corresponds to the amount of the ground surface that is covered by vegetation, including the understory, when viewed vertically (from nadir). FCOVER is an indicator of the spatial extent of vegetation independent of land cover class. It is a dimensionless quantity that varies from 0 to 1, and as an intrinsic property of the canopy, is not dependent on satellite observation conditions. This product consists of a national scale coverage (Canada) of monthly maps of FCOVER indicator during a growing season (May-June-July-August-September) at 20m resolution.References:L. Brown, R. Fernandes, N. Djamai, C. Meier, N. Gobron, H. Morris, C. Canisius, G. Bai, C. Lerebourg, C. Lanconelli, M. Clerici, J. Dash. Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States IISPRS J. Photogramm. Remote Sens., 175 (2021), pp. 71-87, https://doi.org/10.1016/j.isprsjprs.2021.02.020. https://www.sciencedirect.com/science/article/pii/S0924271621000617Richard Fernandes, Luke Brown, Francis Canisius, Jadu Dash, Liming He, Gang Hong, Lucy Huang, Nhu Quynh Le, Camryn MacDougall, Courtney Meier, Patrick Osei Darko, Hemit Shah, Lynsay Spafford, Lixin Sun, 2023.Validation of Simplified Level 2 Prototype Processor Sentinel-2 fraction of canopy cover, fraction of absorbed photosynthetically active radiation and leaf area index products over North American forests,Remote Sensing of Environment, Volume 293, https://doi.org/10.1016/j.rse.2023.113600.https://www.sciencedirect.com/science/article/pii/S0034425723001517