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).**

The national agricultural ecumene includes all dissemination areas with 'significant' agricultural activity. Agricultural indicators, such as the ratio of agricultural land on census farms relative to total land area, and total economic value of agricultural production, are used. Regional variations are also taken into account. The ecumene is generalized for small-scale mapping.A new version of the agricultural ecumene is generated every census years (in vector format) since 1986.This file was produced by Statistics Canada, Agriculture Division, Ottawa.

The national agricultural ecumene includes all dissemination areas with 'significant' agricultural activity. Agricultural indicators, such as the ratio of agricultural land on census farms relative to total land area, and total economic value of agricultural production, are used. Regional variations are also taken into account. The ecumene is generalized for small-scale mapping.A new version of the agricultural ecumene is generated every census years (in vector format) since 1986.This file was produced by Statistics Canada, Agriculture Division, Remote Sensing and Geospatial Analysis section, 2017, Ottawa.

The national agricultural ecumene includes all dissemination areas with 'significant' agricultural activity. Agricultural indicators, such as the ratio of agricultural land on census farms relative to total land area, and total economic value of agricultural production, are used. Regional variations are also taken into account. The ecumene is generalized for small-scale mapping.A new version of the agricultural ecumene is generated every census years (in vector format) since 1986.This file was produced by Statistics Canada, Agriculture Division, Ottawa.

The national agricultural ecumene includes all dissemination areas with 'significant' agricultural activity. Agricultural indicators, such as the ratio of agricultural land on census farms relative to total land area, and total economic value of agricultural production, are used. Regional variations are also taken into account. The ecumene is generalized for small-scale mapping.A new version of the agricultural ecumene is generated every census years (in vector format) since 1986.This file was produced by Statistics Canada, Agriculture Division, Ottawa.

The national agricultural ecumene includes all dissemination areas with 'significant' agricultural activity. Agricultural indicators, such as the ratio of agricultural land on census farms relative to total land area, and total economic value of agricultural production, are used. Regional variations are also taken into account. The ecumene is generalized for small-scale mapping.A new version of the agricultural ecumene is generated every census years (in vector format) since 1986.This file was produced by Statistics Canada, Agriculture Division, Remote Sensing and Geospatial Analysis section, 2017, Ottawa.

The national agricultural ecumene includes all dissemination areas with 'significant' agricultural activity. Agricultural indicators, such as the ratio of agricultural land on census farms relative to total land area, and total economic value of agricultural production, are used. Regional variations are also taken into account. The ecumene is generalized for small-scale mapping.A new version of the agricultural ecumene is generated every census years (in vector format) since 1986.This file was produced by Statistics Canada, Agriculture Division, Remote Sensing and Geospatial Analysis section, 2017, Ottawa.

Understanding the state and trends in agriculture production is essential to combat both short-term and long-term threats to stable and reliable access to food for all, and to ensure a profitable agricultural sector. Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology was applied using optical (Landsat-5, AWiFS, DMC) and radar (Radarsat-2) based satellite images. Beginning with the 2011 growing season, this activity has been extended to other provinces in support of a national crop inventory. To date this approach can consistently deliver a crop inventory that meets the overall target accuracy of at least 85% at a final spatial resolution of 30m (56m in 2009 and 2010).

Major buildings and municipal services.attributes:ID - unique identifierSubtype - Item subtypeName - Building or department name**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Footprint of buildings on Laval territory produced by the City of Laval.To help understand the data, here are the descriptions of the fields used: ESPG: 32188Field propertiesName Description Type References/CommentsID_STRUCTURE Unique identifier of the Long building TYPE Indicates the type of building Text (50) Primary, secondary, agricultural, station, railway stationBUILDING_NAME When appropriate, specify the name of the building Text (200) DATE_RELEASE Date of creation or geometric modification of the target entity. In the absence of information, it means that we do not have information available. Date YYYY-MM-DDTYPE_RELEVE Defines by what technical means the digitization of the data was obtained. For example, the process could be geoprocessing or manual scanning. In the absence of information, it means that we do not have information available. Text (50) Value field:GeoprocessingLidarManual scanningPhotointerpretation (2D)Photogrammetry (3D)Field surveyRemote SensingAutomatic vectorizationUndetermined**This third party metadata element was translated using an automated translation tool (Amazon Translate).**