All parks and green spaces in the territory of the city of Saguenay. ## #Type:* Park* Green space* Insulated sports equipment* Isolated layout* Community garden## #Sous -type:* Memorial space* Undeveloped green space* Sports park* Historical park* Specialized space* Linear park* School park* Urban park* Neighborhood park* Neighborhood park* Landscaped green space* Recreation and relaxation**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

#### This data set contains the information shown in maps 2-10 — Levels of Urban Intensification, 2-11 — Average Minimum Net Density Thresholds, 5-1 — Land Uses and 5-3 — Land Uses “Local Green Space” from the Urban and Mobility Plan 2050 (PUM). These reflect how the City of Montreal intends to use and enable urban intensification of the various parts of its territory based on the vision, directions and objectives it has set for itself. Extracts of these maps by district are presented in appendix 5 of the [PUM] (https://montreal.ca/articles/plan-durbanisme-et-de-mobilite-2050-72130).#### The data linked to these three maps are part of the same data set, with urban intensification and average minimum housing density thresholds per net hectare applying only to residential and mixed uses.#### Map 2-10 — Levels of Urban Intensification expresses the intended intentions of changing the urban form, densifying and mixing environments. They are determined according to the current and planned structural public transport service, the offer of daily resources and the opportunities for the transformation of environments. Urban intensification is either high, intermediate, mild, or not applicable.#### Map 2-11 — Average Minimum Density Thresholds determines average minimum density thresholds, expressed in number of homes per net hectare. These range from 5 to 400 logs. /ha net.#### Map 5-1 — Land Uses expresses, by dividing it into land use areas, the desired vocations throughout the territory. Land uses are divided into eight categories explained in Chapter 5 of the PUM.#### - `1.` Residential- `2. `Mixed- `3.` Diversified activities- `4. `Economic activities- `5. `Agricultural- `6.` Conservation- `7.` Recreation and access to the shores- `8.` Large right-of-way or large public infrastructure#### Map 5-3 — Land Use “Local Green Space” indicates, among all public spaces and local parks, those whose vocation as local green space is confirmed by the PUM. For any local green space shown on this map, the “Local Green Space” land use parameters apply.#### The data can also be consulted on the interactive map of the City of Montreal's [Urban and Mobility Plan 2050] (https://experience.arcgis.com/experience/056d776e719c45f29a8906d532fa2c5f). #### WarningIn case of discrepancy between the data presented here and the mapping presented in the PUM, the PUM mapping takes precedence (see regulation 24-017).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The European Green Crab (EGC) is a high-risk global invader that can devastate coastal marine ecosystems by displacing native species, degrading and disturbing native habitats (including eelgrass), and altering food webs. EGC has recently been detected in the Canadian portion of the Salish Sea. As EGC continue to establish in the region, identifying locations on which to focus limited monitoring resources is an ongoing problem given the vast amount of coastal habitat that could be occupied by the species. A variety of methods can be used to identify highly suitable habitats for EGC at a range of spatial scales. However, none have been evaluated in the context of informing EGC management, nor for the Canadian portion of the Salish Sea. Here we evaluate five individual methods developed to assess habitat suitability for EGC (i.e., MaxEnt, stochastic gradient boosted linear and logistic regression models, a rapid site selection tool, and a qualitative site assessment and ranking tool) and five derived models generated by multiplying the outputs of these individual models. Each model relied on slightly different environmental and habitat input variables affecting EGC invasion success. Thus, rather than identifying a single preferred model, we used a multi-model ensemble approach to identify sites that are expected to be most suitable for the species. The ensemble approach likely increases predictive power by including both environmental and habitat characteristics when identifying priority sites for early detection/monitoring for EGC in the Canadian waters of the Salish Sea. Finally, we describe how the models evaluated here, alone or in combination, could be used to identify additional sites either within the Salish Sea or into new areas.This dataset contains predicted habitat suitability from five models for European Green Crab at beaches in the Salish Sea (British Columbia, Pacific Region).

Off Road Vehicle (ORV) Trail Plan show the trails (whether individually or by zone) within the off-road vehicle management area or the part of the off-road vehicle management area for which a trail plan is developed, on which an off-road vehicle may be used. A red, yellow, green scheme is used to symbolize the level of restriction on the trail plan. Red: off road vehicles are prohibited; Yellow: off road vehicles are prohibited except where designated by an approved Off Road Management Area Trail Plan; Green: off road vehicles are not prohibitedDistributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@gov.yk. ca](mailto:geomatics.help@yukon.ca)

Polygon representing the 3-30-300 Rule, i.e. seeing 3 trees near your home, moving to neighborhoods where 30% of the space is covered by trees and living less than 300 meters from a green space. This nature-based approach aims to create greener and more resilient cities. It was developed by the Dutch researcher [Cecil Konijnendijk] (https://www.researchgate.net/publication/353571108_The_3-30-300_Rule_for_Urban_Forestry_and_Greener_Cities) working in the fields of forestry and urban ecology.These layers are used for the planning of plantations in vulnerable sectors with the target of 500,000 trees to be planted by the City and its partners, as part of the 2020-2030 Climate Plan. They also help to better plan and prioritize greening projects.The data can also be consulted on the interactive map of vulnerabilities to climate change in the Montreal agglomeration. https://experience.arcgis.com/experience/944e0b7104bd491591ccca829da24670/page/Page/**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

A delimited, open-air space, generally wooded, dedicated to the conservation of an ecosystem or designed for leisure purposes.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Aquatic invasive species pose economic and ecological threats to Canada's coastal waters. In response, Fisheries and Oceans Canada (DFO) has established monitoring programs to detect and track the spread of aquatic invasive species, including European Green Crab, in Canadian waters. Fukui traps have been deployed annually at both new and long-term monitoring locations throughout coastal British Columbia.

These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product.Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases.

Note: The Urban Plan (regulation 04-047) was __repealed on June 16, 2025__, this data is now obsolete, please refer to the data sets of the Urban and Mobility Plan 2050 (regulation 24-017).The land use illustrated by this map has ten categories. They are explained in [Section 3.1.1] (https://mtl.ged.montreal.ca/constellio/?collection=mtlca&portal=REPDOCVDM#!searchResults/s/9f45f91f-af33-11ee-9b08-4b10d95b597d) of the Urban Plan.The first four are inclusive in nature and correspond to distinct urban environments (residential, mixed, diversified activities and employment sectors). The other five, which are essentially exclusive in nature, apply to areas reserved for particular activities (large institutional facilities, convents, monasteries or places of worship, agricultural, conservation, large green space or waterfront park, large right-of-way or large public infrastructure).Consult the [interactive map] (https://montreal.ca/services/cartes-interactives-amenagement-du-territoire) of the Urban Plan to visualize thematic data.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are long-wave radiations emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Four types of products are currently generated from the GOES-West and GOES-East satellites: "NightIR" and "NightMicrophysics", at 2km resolution, are generated 24 hours a day with infrared channels, so are visible both night and day, and "NaturalColour" and "DayCloudConvection", at 1km resolution, which combine visible light channels with infrared channels; their higher resolution makes the latter two products more popular, but they are not available during most of the night (between 02UTC and 07UTC for GOES-Est, and between 06UTC and 11UTC for GOES-Ouest) given the absence of reflected sunlight. Other RGB products should be added gradually in the future to meet different needs.