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 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).

Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work. Each tutorial video is also accompanied by a written script, providing a step-by-step reference that users can follow alongside the video or consult afterwards.

The Database of Declared Agricultural Parcels and Productions (BDPPAD) consists of polygons in vector format representing the outline of agricultural plots that have been associated with the files of clients of La Financière Agricole du Québec (FADQ) since 2003. The plots are kept from year to year to constitute a bank of plots covering as much territory as possible, whether the associated customer is active or not. For each insurance year, agricultural production is associated with the plots that active customers declare to cultivate.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

To outline the locations of buildings on Parks Canada sites, buildings that Parks Canada manages, and other buildings of interest to Parks Canada. Polygon file to map building footprints of buildings on Parks Canada sites. Footprints may be derived by tracing the roof outline (for example from an airphoto) or using more detailed measurements of the ground floor. Data is not necessarily complete - updates will occur weekly.

This point layer shows the locations of places of interest to Parks Canada, visitors, employees, or local residents. These are points that are not already mapped as Parks Canada facilities or components of facilties. Data is not necessarily complete - updates will occur weekly.

This point-layer shows the locations of components that make up facilities (Facilities are stored in another layer). Examples of facility components are barbeques, picnic tables, benches, or kiosks. See the Comp domain for a complete list. NOTE: Although some of the items in the domain appear to be activities, they are actually physical entities that appear within a facility. A facility component point would be stored in this layer to show a more precise location of the kayak rental place of business. Data is not necessarily complete - updates will occur weekly.

Location of elements of urban furniture in the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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).**

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).**