Location of public water facilities, i.e. drinking fountains, showers, water games and swimming pools.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Location and characterization of all the civic addresses of the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

All buildings, main, accessory and agricultural, with addresses on the territory of the city of Saguenay. ## #Utilisation of the building: * Residential * Manufacturing industries * Transport, communication and public services * Commercial * Services * Cultural, recreational and leisure * Production and extraction of natural resources * Unused buildings and bodies of water ## #Catégorie of the building: * Main building * Accessory building * Agricultural building**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This set locates the establishments under the responsibility of the Food Inspection Division of the City of Montreal. It should be noted that the City is a mandatary of the Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec (MAPAQ) with respect to inspection on its territory.**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).**

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

This service provides a compilation of Electronic Navigational Charts (ENC) produced by the Canadian Hydrographic Service. All information provided by this service conforms to the International Hydrographic Organization (IHO) Publication S-57. An ENC contains all the chart information useful for navigation, and may contain supplementary information in addition to that contained in the paper chart. This service is not for navigation.

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).**

AAFC’s Canadian Ag-Land Monitoring System (CALMS), operational since 2009, was developed by AAFC’s Earth Observation Service (EOS) to deliver weekly NDVI-based maps of crop condition in near-real-time. The CALMS uses data collected by the Moderate Resolution Imaging Spectro-radiometer (MODIS), a sensor mounted onboard NASA’s Terra satellite that has been acquiring data since February 2000. The state-of-the-art radiometric, spectral and spatial resolutions of MODIS Terra make it particularly well-suited for large-scale vegetation mapping and assessment. Crop condition (NDVI) maps are generated weekly by AAFC throughout Canada’s growing season, the period defined as the six-month period stretching from the start of Julian week 12 (end of March) to the end of Julian week 44 (late October). Weeks of the year are defined according to the ISO 8601 week-numbering standard, where weeks start on a Monday and end the following Sunday. CALMS products are generated in the MODIS native Integrated Sinusoidal (ISIN) projection for the region covering the twelve MODIS tiles h09v03 to h14v03 and h09v04 to h14v04.

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.