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Each pixel value corresponds to the actual number (count) of valid Best-quality Max-NDVI values used to calculate the mean weekly values for that pixel. Since 2020, the maximum number of possible observations used to create the Mean Best-Quality Max-NDVI for the 2000-2014 period is n=20. However, because data quality varies both temporally and geographically (e.g. cloud cover and snow cover in spring; cloud near large water bodies all year), the actual number (count) of observations used to create baselines can vary significantly for any given week and year.

Each pixel value corresponds to the quality control, cloud cover and snow fraction value for each pixel in the Best-Quality Max-NDVI product.

Each pixel value corresponds to the mean historical “Best-quality” Max-NDVI value for a given week, as calculated from the previous 20 years in the MODIS historical record (i.e. does not include data from the current year). These data are also often referred to as “weekly baselines” or “weekly normals”.

Each pixel value corresponds to the difference (anomaly) between the mean “Best-Quality” Max-NDVI of the week specified (e.g. Week 18, 2000-2014) and the “Best-Quality” Max-NDVI of the same week in a specific year (e.g. Week 18, 2015). Max-NDVI anomalies < 0 indicate where weekly Max-NDVI is lower than normal.

Number of active driver licences by driver licence class and age range. Driver licence classes include: Class 1 = for driving semi-trailers and tractor-trailer combinations; Class 2 = for driving buses with more than 24 passengers; Class 3 = for driving vehicles or vehicle-trailer combinations weighing more than 14,000 kg; Class 4 = for driving buses/vans 24 passengers and under for compensation, taxis, rideshares and ambulances; Class 5 = for driving cars, pick-up trucks, sport utility vehicles and vans with less than 24 passenger capacity; Class 6 = for driving motorcycles and motor-driven cycles; Class 7 = learner's licence for those learning to drive class 5 vehicles; Class 8 = for driving farm tractors. These descriptions could be used somewhere on the page to describe each class of driver licence.

The Crop Stress Index is the ratio of actual evapotranspiration (AET) to potential evapotranspiration (PET) express as:

CSI = 1-(AET/PET)

AET and PET are calculated within the Versatile Soil Moisture Budget (VSMB) model using temperature and precipitation data and a crop-specific biometeorological time scale model to estimate growth stage (Robertson, 1968), with crop specific phenological and crop water extraction coefficients taken from Chipanshi et al 2013. The WDI ranges between 0 and 1, with a value closer to 1 indicating higher stress Crop Stress Index is modelled for each climate station using measured precipitation and temperature

During January and early February 2020, the Government of Canada launched consultations on medical assistance in dying (MAID). The online consultation, which was a short questionnaire, was open to all members of the public from the morning of Monday, January 13th through to midnight on Monday, January 27th. Consultations with experts and stakeholders also took place via a series of ten roundtables held across the country between Monday, January 13th and Monday, February 3rd.

This What We Heard report summarizes the findings from these consultations.

Each pixel value corresponds to the best quality maximum NDVI recorded within that pixel over the week specified. Poor quality pixel observations are removed from this product. Observations whose quality is degraded by snow cover, shadow, cloud, aerosols, and/or low sensor zenith angles are removed (and are assigned a value of “missing data”). In addition, negative Max-NDVI values, occurring where R reflectance > NIR reflectance, are considered non-vegetated and assigned a value of 0.

The National Ecological Framework for Canada's "Soil Texture by Ecodistrict” dataset contains tables that provide soil texture information within the ecodistrict framework polygon. It provides soil texture codes and their English and French language descriptions as well as the percentage of the polygon that the component occupies. Soil texture indicates the relative proportions of the various soil separates (sand, silt, clay) as described by classes of texture. Soil separates are mineral particles, 2.0 mm in diameter and include: gravel 0.2 -7.5 cm and cobbles 7.5-25.0 cm.

The National Ecological Framework for Canada's "Soil Texture by Ecoregion” dataset contains tables that provide soil texture information within the ecoregion framework polygon. It provides soil texture codes and their English and French language descriptions as well as the percentage of the polygon that the component occupies. Soil texture indicates the relative proportions of the various soil separates (sand, silt, clay) as described by classes of texture. Soil separates are mineral particles, 2.0 mm in diameter and include: gravel 0.2 -7.5 cm and cobbles 7.5-25.0 cm.