Point layer showing the locations of facilities. A "facility" is an area that contains one or more components. For example, a visitor centre facility might include two parking lots a playground, a separate building for washrooms, a kiosk for renting canoes, picnic tables and barbeques Data is not necessarily complete - updates will occur weekly.

This point layer shows the locations of named places that fall within Parks Canada areas of interest. Data is not necessarily complete - updates will occur weekly.

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).

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.

This data represents the dryness of the land surface based on vegetation conditions. The data is created weekly and uses weekly information on precipitation anomalies (namely the Standardized Precipitation Index or SPI) and satellite vegetation condition derived from Normalized Difference Vegetation Index (NDVI) from the MODIS Satellite. These dynamic data sets along with static data sets on land cover, soil water holding capacity, irrigation, ecozones and land surface elevation are used to model the drought severity, based on the Palmer Drought Severity Index (PDSI). The mapcubist model was trained on historical data and applied in real time to the dynamic inputs to produce drought severity ratings. The model is run at a 1km resolution and was developed by the AAFC, the United States Geological Survey and the United States Drought Monitor at the University of Nebraska Lincoln.

The purpose of this feature class is to show areas that are National Parks (NPs), National Park Reserves (NPRs) and National Marine Conservation Area (NMCAs). Parks Canada manages more than 43 NPs. (See: https://parks.canada.ca/voyage-travel/recherche-tous-parks-all) for a list of PCA administered parks. By using this data, it is important to understand and accept that the data is not to be used for defining boundaries. Administrative decisions should be based on legal documents and legal survey plans. Canada Lands Surveys: https://clss.nrcan-rncan.gc.ca/clss/plan/search-recherche

City of Trois-Rivières flow control valve**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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

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).**

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).