Stations containing prime movers, electric generators, and auxiliary equipment for converting mechanical, chemical into electric energy with an installed capacity of 1 Megawatt or more generated from renewable energy, including biomass, hydroelectric, pumped-storage hydroelectric, geothermal, solar, and wind.Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.Parent Collection:[North American Cooperation on Energy Information, Mapping Data](https://open.canada.ca/data/en/dataset/aae6619f-f9f3-435d-bc32-42decd58b674)

This data includes the projected capacity, energy potential and cost of possible hydro sites throughout the Yukon. Other sites will be added as the data becomes available.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

This data includes the average wind speed measured at various sites throughout the Yukon over discrete time periods from as early as 1944 to as recent as 2004. The specific time periods are included in the dataset, as is a brief description of each site. Other sites will be added as the data becomes available.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

The goal of this dataset is to help guide the site selection process to areas with lower risk to Alberta's wildlife and wildlife habitat. The dataset was developed in concert with the Wildlife Directive for Alberta Wind Energy Projects and Wildlife Directive for Alberta Solar Energy Projects and reflects potential risks to wildlife and wildlife habitat. Risk value zones and habitat features identified within the Directives have been ranked as follows: Critical Wildlife Zones and Non-Accessible Areas: Areas included in this category are either designated as protected areas or identified as critical importance for one or more wildlife species of conservation concern. These areas also included non-accessible areas such as National and Provincial Parks and Protected areas, military bases, and named waterbodies. These areas must be avoided by renewable energy projects. High Risk: Several Wildlife Sensitivity Layers are ranked as High Risk since these areas are likely used by one or more species at risk or priority management species. The Directives recommend avoiding areas ranked as high risk. Moderate Risk: These wildlife habitat areas are considered to be at a moderate risk since species at risk or priority management species can likely inhabit these areas. Due to the close proximity to native grasslands and the potential of habitat values existing for multiple species in these areas, there will likely be risks that could require mitigation considerations and potentially added costs to siting renewable energy projects in these areas. Lower Risk: The remaining areas of wildlife habitat of the province are considered to be at lower risk since the chance of a species at risk or priority management species occurring in these areas is less likely than the other ranked areas. The lower risk areas are typically between 500 - 1000 meters from native grassland. However, there is still the potential of these areas possessing quality wildlife habitat. If a species at risk feature is identified, mitigation is required as per the Directives which may impact the overall project costs, siting and operations. For more information on risk categories and methods used to create this dataset, please visit the following link: http://aep.alberta.ca/fish-wildlife/wildlife-land-use-guidelines/documents/InterpretingWildlifeHabitatSensitivityMap-Aug-2017.pdf

These files from Statistics Canada present Census of Agriculture data allocated by standard census geographic polygons: Provinces and Territories (PR), Census Agricultural Regions (CAR), Census Divisions (CD) and Census Consolidated Subdivisions (CCS). Five datasets are provided:1. Agricultural operation characteristics: includes information on farm type, operating arrangements, paid agricultural work and financial characteristics of the agricultural operation.2. Land tenure and management practices: includes information on land use, land tenure, agricultural practices, land inputs, technologies used on the operation and the renewable energy production on the operation.3. Crops: includes information on hay and field crops, vegetables (excluding greenhouse vegetables), fruits, berries, nuts, greenhouse productions and other crops.4. Livestock, poultry and bees: includes information on livestock, poultry and bees.5. Characteristics of farm operators: includes information on age, sex and the hours of works of farm operators.Note: For all the datasets, confidential values have been assigned a value of -1.Correction notice: On January 18, 2023, selected estimates have been corrected for selected variables in the following 2021 Census of Agriculture domains: Direct sales of agricultural products to consumers (Agricultural operations category), Succession plan for the agricultural operation (Agricultural operators category), and Renewable energy production (Use, tenure and practices category).

This Web Map Service depicts the location of clean electricity generating facilities by type of clean energy source and power generation capacity. Clean energy sources shown on the map include biomass, hydro, nuclear, solar, tidal and wind. The data comes from the provinces and territories, other federal departments and clean energy associations in Canada. The service is one of many themes mapped in the web mapping application Map of Clean Energy Resources and Projects (CERP) in Canada.

The Renewable Energy on Crown Land Policy (PL 4.10.06) covers access to Crown land for potential onshore wind, solar and waterpower development. This information will help renewable energy development on Crown Land.

This provincial layer shows the site locations for waterpower Applicants of Record seeking regulatory approvals for renewable energy projects on Crown land. The ministry will not accept another application for the same lands at the same time under the Renewable Energy on Crown Land (RECL) policy.

This provincial layer shows the site locations of onshore wind power Applicants of Record seeking regulatory approvals for renewable energy projects on Crown land. The ministry will not accept another application for the same lands at the same time under the Renewable Energy on Crown Land (RECL) policy.

This dataset uses RADARSAT Constellation Mission (RCM) Synthetic Aperture Radar (SAR) satellite images to identify open water regions within ice-covered rivers during winter, with the aim to assess hydrokinetic resources near remote communities reliant on diesel fuel for electricity generation. The data is processed with the HyRASS, a machine learning-based SAR image processing and classification algorithm.Disclaimer:This dataset was designed to identify open water regions within ice-covered rivers for assessing hydrokinetic resources near remote communities reliant on diesel fuel for electricity generation and is subject to the following limitations: • This dataset was derived from RADARSAT Constellation Mission (RCM) Synthetic Aperture Radar (SAR) satellite images. While these images are generally reliable, they are subject to inherent limitations, including resolution constraints, potential distortion, and occasional inaccuracies in real-time conditions capture. • The HyRASS algorithm is designed to pinpoint open water areas using satellite images, with a particular emphasis on RCM quad polarization (QP) imagery. This specialization means that its effectiveness depends on the accessibility of this specific type of imagery. Consequently, the data it produces might not cover a broad spectrum of time periods. For more reliable results, it's essential to classify areas more regularly, ensuring that detected open water regions are consistent over time.This dataset is intended for preliminary assessment and should not be the sole basis for making critical decisions or investments related to hydrokinetic energy projects. Further validation and in-depth analysis are strongly recommended, and users should conduct their own due diligence and additional research to verify the data accuracy and relevance for specific applications. By accessing and using this dataset, users acknowledge and accept these disclaimers. The providers of this dataset explicitly absolve themselves of any responsibility or liability for any consequences arising from the use, reliance upon, or interpretation of this dataset. Users are advised that their use of the dataset is at their own risk, and they assume full responsibility for any actions or decisions made based on the information contained therein. This disclaimer is in accordance with applicable laws and regulations, and by accessing or utilizing the dataset, users agree to release the providers of this dataset from any legal claims, damages, or liabilities that may arise from such use.