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 day-of-week (1-7) from which the Weekly Best-Quality NDVI retrieval is obtained (1 = Monday, 7 = Sunday).

An element of the drainage system intended for the collection and delivery of runoff water to the sewer line or ditch. Structure, equipped with a spillway, used to capture runoff and deliver it, as appropriate, to the storm sewer or combined sewer line. The information associated with the geographic data corresponds to the type of sump, date of installation, status, owner, and jurisdiction. __CAUTION__: This data is published annually, so it does not include updates made during the year. For this reason, they should under no circumstances be used for engineering purposes without validation by the City. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Location of municipal sports fields on the territory of the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Punctual location of bus shelters on the territory of the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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. Anomalies > 0 indicate where weekly Max-NDVI is higher than normal. Anomalies close to 0 indicate where weekly Max-NDVI is similar to normal.

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

Location of air-conditioned public places on the territory of the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This data series represents the volumetric soil moisture (percent saturated soil) for the surface layer (<5 cm). The data is created daily and is averaged for the ISO standard week and month. The data is produced from passive microwave satellite data collected by the Soil Moisture and Ocean Salinity (SMOS) satellite and converted to soil moisture using version 6.20 of the SMOS soil moisture processor. The data are produced by the European Space Agency and obtained under a Category 1 proposal for Level 2 soil moisture data. The data are gridded to a resolution of 0.25 degrees. Data quality flags have been applied to remove areas where rainfall is present during the acquisition, where snow cover is detected and when Radio Frequency Interference (RFI) is above an acceptable threshold.

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).