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).

Data set on agreements concluded under the Regulation for a mixed metropolis to improve the supply of social, affordable and family housing (20-041). Since April 1, 2021, for all permits subject to it, the conclusion of an agreement in accordance with the Regulation is required. This regulation aims to improve the supply of social, affordable and family housing in the city.**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).**

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.

Sewer manholes in the city of Trois-Rivières.**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).**

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.

Geobase poles are a point representation of the left and right sides of segmented sections of the road network. They are related to the [double geobase] (/city-of-montreal/geobase-double) which presents the same information in linear form. Related data sets: - [Geobase - road network] (http://donnees.montreal.ca/dataset/geobase) - [Geobase double - street sides of the road network] (http://donnees.montreal.ca/dataset/geobase-double) - [Geobase - destroyed sections] (http://donnees.montreal.ca/dataset/geobase-troncon-detruit) - [Geobase - section management] (http://donnees.montreal.ca/dataset/geobase-gestion-troncon) - [Geobase - nodes] (http://donnees.montreal.ca/dataset/geobase-noeud) __Warnings__ - The data disseminated (Géobase - clusters) must be used in accordance with the open data policy and license of the City of Montreal. - The data disseminated (Géobase - poles) are those that are in our possession and are not necessarily up to date throughout the country. - The data disseminated (Géobase - poles) is provided for information purposes only and should not be used for the purposes of designing or carrying out the works, or for the purpose of locating assets. - The City of Montreal and the Geomatics Division cannot be held responsible for the inaccuracies or inaccuracies of the data disseminated (Géobase - poles). **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The data represents the result of preventive inspections carried out by the Real Estate and Housing Strategy Department (formerly the Housing Department). Data includes: the physical condition of the inspected parts of the building on a scale of 1 (excellent) to 6 (very poor), whether or not the building was transferred for a complete inspection, and whether or not a statement of violation was served without notice. The period from January 1 to June 1, 2024 served as a pilot project during which several processes were tested and optimized.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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).