Sewer manholes in the city of Trois-Rivières.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Civic addresses of air-conditioned public places.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Traffic jams in the city of Trois-Rivières**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Street lamps of the City of Trois-Rivières**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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.

Fire hydrants in the city of Trois-Rivières. (Fire hydrants)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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. This results in a Max-NDVI product that should (mostly) contain vegetation-covered pixels. Max-NDVI values are considered high quality and span a biomass gradient ranging from 0 (no/low biomass) to 1 (high biomass).

The Freshwater Fish Habitat Accessibility MODEL- Pacific Salmon and Steelhead predicts the potential extent of accessible freshwater habitat for Pacific Salmon species and Steelhead in BC. Using the BC Freshwater Atlas as the mapping base, the model presumes that in watershed groups where a given species is known to occur, the species can potentially access any stream that is either: - downstream of a known, validated fish observations for the given species OR - has no known barrier to fish passage downstream AND - has no segment steeper (for at least 100m) than the known swimming ability of the given species anywhere downstream This product is an ACCESSIBILITY MODEL only – it represents only the streams that Pacific Salmon and Steelhead could potentially use for migration, based on known/modelled barriers and the given species swimming ability. The model accounts only for natural barriers and connectivity – other essential characteristics for defining fish habitat are not included. For example, streams modelled as accessible may not have flow sufficient for supporting fish. As such, this model is not appropriate for use in operational applications. It is more appropriate for landscape level assessments and planning exercises. Site specific projects such as riparian buffer delineation require field assessment, stream measurements and fish sampling.

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”.