This dataset includes daily averages of solar irradiance on tilted surfaces for all of Canada based on the period of 1998 - 2022.Daily averages of solar irradiance are displayed on both a monthly and annual basis for ten different tilt and tracking methods relative to the ground (horizontal) and latitude of the location. The daily averages were derived from multi-year satellite-derived solar resource datasets at an hourly temporal resolution and gridded geospatial resolution of approximately 10 km by 10 km.The data can be used to further assess the potential of solar energy technologies in Canada, including solar photovoltaics (PV) for electricity and solar thermal for domestic hot water and space heating. Maps of solar resource potential in Canada – Data Format The data stored in these files includes the daily-average insolation on tilted surfaces in units of kW·hr/m² for a given period. Each band represents period, numbered in order: band 1 = Annual, band 2 = January, band 3 = February, ..., band 13 = December.The period of averaging is the year 1998-2022, inclusive.Four fixed tilted surfaces of 0° (horizontal), 30°, 60°, and 90° (vertical) relative to the horizontal plane:- fixed tilted surfaces of 0° (vertical) relative to the horizontal plane (H+ 00 S+00)- fixed tilted surfaces of 30° (vertical) relative to the horizontal plane (H+ 30 S+00)- fixed tilted surfaces of 60° (vertical) relative to the horizontal plane (H+ 60 S+00)- fixed tilted surfaces of 90° (vertical) relative to the horizontal plan (H+ 90 S+00)Three fixed tilted surfaces of 0°, +15°, and -15°, relative to the local latitude:- fixed tilted surfaces of 0° relative to the local latitude (L+00 S+00)- fixed tilted surfaces of +15°, relative to the local latitude (L+00 S+00)- fixed tilted surfaces of -15°, relative to the local latitude (L+00 S+00)- A two-axis tracking surface that follows the sun throughout the day (T+00 T+00)- A single-axis tracking surface with the axis aligned north-south, tracking the sun east to west (A+00_S+90)- A single-axis tracking surface with the axis aligned east-west, tracking the sun's elevation (A+00_S+00)

The data represents the annual solar radiation in Alberta over the 30-year period from 1971 to 2000. A 30-year period is use to describe the present climate since it is enough time to filter out short-term fluctuation by is not dominated by any long-term trend in the climate. Daily total incoming solar radiation is measured in megajoules per square metre (MJ/m2). Southern Alberta receives the greatest amount of annual global solar radiation with the amount gradually decreasing as you move farther north. However, cropping is successful in the northern (Peace River) area of Alberta because the longer summer day length helps compensate for the less intense solar radiation. Cloud cover in the mountains will reduce the amount of solar radiation received there.The amount of solar radiation received at the earth's surface varies with two factors that depend on latitude: the angle of the sun's rays and the hours of daylight. The distance from the equator, and therefore the intensity of the sun's radiation has the greatest effect on climate. Canada's position in the northern portion of the earth's northern hemisphere means that it receives less solar radiation compared to countries near the equator. The northward decrease in solar radiation is also noticeable within Alberta. Temperatures are generally higher in southern Alberta in comparison to northern Alberta because the south receives more solar radiation. This resource was created using ArcGIS.

This feature class identifies active areas designated for personal use woodcutting where harvesting dead or downed fuelwood can occur for purposes such as home heating. Certain areas have seasonal restrictions or additional terms and conditions. A forest resources permit is required to cut in these areas; this free permit authorizes a limit of 25m 3 (11 cords) of firewood. Failure to have a permit or carry it with you when cutting could result in enforcement action.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)

Average of the hourly Direct Normal Irradiance (DNI) over 17 years (1998-2014). Data extracted from the National Solar Radiation Database (NSRDB) developed using the Physical Solar Model (PSM) by National Renewable Energy Laboratory ("NREL"), Alliance for Sustainable Energy, LLC, U.S. Department of Energy ("DOE").The current version of the National Solar Radiation Database (NSRDB) (v2.0.1) was developed using the Physical Solar Model (PSM), and offers users the solar resource datasets from 1998 to 2014). The NSRDB comprises 30-minute solar and meteorological data for approximately 2 million 0.038-degree latitude by 0.038-degree longitude surface pixels (nominally 4 km2). The area covered is bordered by longitudes 25° W on the east and 175° W on the west, and by latitudes -20° S on the south and 60° N on the north. The solar radiation values represent the resource available to solar energy systems. The AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) model uses half-hourly radiance images in visible and infrared channels from the GOES series of geostationary weather satellites, a climatological albedo database and mixing ratio, temperature and pressure profiles from Modern Era-Retrospective Analysis (MERRA) to generate cloud masking and cloud properties. Cloud properties generated using PATMOS-x are used in fast radiative transfer models along with aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary sources to estimate Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI). A daily AOD is retrieved by combining information from the MODIS and MISR satellites and ground-based AERONET stations. Water vapor and other inputs are obtained from MERRA. For clear sky scenes the direct normal irradiance (DNI) and GHI are computed using the REST2 radiative transfer model. For cloud scenes identified by the cloud mask, Fast All-sky Radiation Model for Solar applications (FARMS) is used to compute the GHI. The DNI for cloud scenes is then computed using the DISC model. The data in this layer is an average of the hourly GHI over 17 years (1998-2014). NOTE: The Geographical Information System (GIS) data and maps for solar resources for Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) were developed by the U.S. National Renewable Energy Laboratory (NREL) and provided for Canada as an estimate. At present, neither the NREL data, nor the Physical Solar Model (PSM) on which the NREL data is based, have been either assessed or validated for the particular Canadian weather applications. A Canadian GHI map developed by the department of Natural Resources Canada (NRCan) is based on the State University of New York (SUNY) model and has been assessed and validated for the particular Canadian weather applications. The Canadian GHI map is available at http://atlas.gc.ca/cerp-rpep/en/.

Average of the hourly Global Horizontal Irradiance (GHI) over 17 years (1998-2014). Data extracted from the National Solar Radiation Database (NSRDB) developed using the Physical Solar Model (PSM) by National Renewable Energy Laboratory ("NREL"), Alliance for Sustainable Energy, LLC, U.S. Department of Energy ("DOE").The current version of the National Solar Radiation Database (NSRDB) (v2.0.1) was developed using the Physical Solar Model (PSM), and offers users the solar resource datasets from 1998 to 2014). The NSRDB comprises 30-minute solar and meteorological data for approximately 2 million 0.038-degree latitude by 0.038-degree longitude surface pixels (nominally 4 km2). The area covered is bordered by longitudes 25° W on the east and 175° W on the west, and by latitudes -20° S on the south and 60° N on the north. The solar radiation values represent the resource available to solar energy systems. The AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) model uses half-hourly radiance images in visible and infrared channels from the GOES series of geostationary weather satellites, a climatological albedo database and mixing ratio, temperature and pressure profiles from Modern Era-Retrospective Analysis (MERRA) to generate cloud masking and cloud properties. Cloud properties generated using PATMOS-x are used in fast radiative transfer models along with aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary sources to estimate Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI). A daily AOD is retrieved by combining information from the MODIS and MISR satellites and ground-based AERONET stations. Water vapor and other inputs are obtained from MERRA. For clear sky scenes the direct normal irradiance (DNI) and GHI are computed using the REST2 radiative transfer model. For cloud scenes identified by the cloud mask, Fast All-sky Radiation Model for Solar applications (FARMS) is used to compute the GHI. The DNI for cloud scenes is then computed using the DISC model. The data in this layer is an average of the hourly GHI over 17 years (1998-2014). NOTE: The Geographical Information System (GIS) data and maps for solar resources for Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) were developed by the U.S. National Renewable Energy Laboratory (NREL) and provided for Canada as an estimate. At present, neither the NREL data, nor the Physical Solar Model (PSM) on which the NREL data is based, have been either assessed or validated for the particular Canadian weather applications. A Canadian GHI map developed by the department of Natural Resources Canada (NRCan) is based on the State University of New York (SUNY) model and has been assessed and validated for the particular Canadian weather applications. The Canadian GHI map is available at http://atlas.gc.ca/cerp-rpep/en/.

The purpose of the Licence Area feature is to record areas where a licencee holds a timber resources licence, a woodlot licence or a fuel wood licence.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 HOT2000 software contains monthly and annual climate data for 403 locations in Canada. Boundary lines for HOT2000 climate zones were defined through spatial interpolation of the annual Celsius heating degree-days for each weather station. In a number of instances, the positions of boundary lines may not be representative of the local climate conditions due to lack of appropriate climate data. Each HOT2000 climate zone contains one weather station to be used for all locations within the zone. Climate data represent 20-year averaged data from 1998 to 2017 for locations south of 58° latitude and 13-year averaged data from 2005 to 2017 for locations north of 58° latitude. Note that Whistler, BC uses 13 years of data.The following information is available in the climate map:o Location: the name of the weather station.o Region: the provincial or territorial location of the weather station.o Latitude: measured in degrees north of the equator.o Annual heating degree-days using a base of 18 °C.o Design heating dry bulb temperature (°C): the 2.5% January design temperature used to calculate the design heat loss for the house.o Design cooling dry bulb temperature (°C): the 2.5% July design temperature used to calculate the design cooling load for the house.o Design cooling wet bulb temperature (°C): the 2.5% July design temperature used to calculate the design cooling load for the house.The climate map is intended to be used by all users of the HOT2000 software under the EnerGuide Rating System, including energy advisors, service organizations, regulatory agencies, builders, utilities, and all levels of government.The weather locations and climate data are based on Environment and Climate Change Canada data, specifically the Canadian Weather Energy and Engineering Datasets (CWEEDS).

The Canadian Food Inspection Agency (CFIA) established a regulated area as part of its efforts to eradicate the Asian longhorned beetle (ALHB). With the regulation of this area, there are restrictions on the movement of nursery stock, trees, logs, lumber, wood, wood chips and bark chips from certain deciduous trees identified as hosts of the ALHB and firewood of all species. These restrictions are necessary to prevent the spread of the ALHB. This protects Canada's environment and forest resources, and also helps keep international markets open to the forest industry and nurseries in non-regulated parts of Ontario and in the rest of Canada.

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.

Dynamic Habitat Index. (2000-2005) Satellite derived estimates of photosynthetically active radiation can be obtained from satellites such as MODIS. Knowledge of the land cover allows for calculation the fraction of incoming solar radiation that is absorbed by vegetation. This fraction of photosynthetically active radiation (fPAR) absorbed by vegetation describes rate at which carbon dioxide and energy from sunlight are assimilated into carbohydrates during photosynthesis of plant tissues. The summation of carbon assimilated by the vegetation canopy over time yields the landscape's gross primary productivity. Daily MODIS imagery is the basis for periodic composites and monthly data products. Over the 6 year period from 2000-2005, we calculate the annual average cumulative total of 72 monthly fPAR measurements, to describe the integrated annual vegetative production of the landscape, the integrated average annual minimum monthly fPAR measurement, which describes the annual minimum green cover of the observed landscape, and the integrated average of the annual covariance of fPAR, which describes the seasonality of the observed landscape. We also share the combination of the annual integrated values for visualization and analysis as the Dynamic Habitat Index (with additional information in Coops et al. 2008). When using this data, please cite as: Coops, N.C., Wulder, M.A., Duro, D.C., Han, T. and Berry, S., 2008. The development of a Canadian dynamic habitat index using multi-temporal satellite estimates of canopy light absorbance. Ecological Indicators, 8(5), pp.754-766. ( Coops et al. 2008).