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We have found 2,161 datasets for the keyword " high-quality-agricultural-land". You can continue exploring the search results in the list below.
Datasets: 106,579
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2,161 Datasets, Page 1 of 217
High-Quality Agricultural Lands and Visual Impact Assessment Zones for Electric Energy Development
This dataset is provided by the Ministry of Affordability and Utilities, Electricity Sustainability and Innovation Branch, and identifies the high-quality agricultural lands, buffer zones, and visual impact assessment zones in Alberta designated under the Electric Energy Land Use and Visual Assessment Regulation (EELUVAR) made under the Alberta Utilities Commission Act. These areas apply to applications for the construction or operation of power plants under Alberta Utilities Commission Rule 007, unless exempted under the regulation. Restrictions on development of high-quality agricultural land are limited to privately owned land as per the regulation. This data product includes the following datasets: Land Suitability Rating System (LSRS) Class 2 and Class 3H Lands, Visual Impact Assessment Zones, and Buffer Zones. Visual Impact Assessment Zones and Buffer Zones contain both private and public lands.
Organic Matter Content of Cultivated Soils
This map displays the percentage of organic matter in the surface layer of cultivated soils in the agricultural region of Alberta. Soil organic matter (SOM) is derived primarily from the decomposition of plant biomass. SOM improves both the physical and chemical properties of soil and has beneficial effects on agricultural soil quality. SOM is reported on the map as a percentage using the following classes: less than 2 (very low), 2 to 4 (low), 4 to 6 (medium), 6 to 8 (high) and greater than 8 (very high).This resource was created in 2002 using ArcGIS.
Agricultural Ecumene Boundary File - 1996
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.
Agricultural Ecumene Boundary File - 2001
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.
Agro-Pedological Atlas of Quebec
The “Agro-Pedological Atlas of Quebec” is a dataset that shows the characteristics, the fertility, the quality of the water regime, the vulnerability to degradation and the potential of the agricultural soils and land in the Monteregian region of the province of Quebec.
Agricultural Land Parcels - Surveyed
This layer shows surveyed parcels that fall under the Agricultural Development Area Regulations or are within an agricultural zone as defined in one of the Development Area Regulations ( [Find zoning maps for Yukon communities \| Government of Yukon](https://yukon.ca/en/find-zoning-maps-yukon-communities) ). The field "Title Description" indicates if the parcels is titled to private, a government entity (commissioner, community or federal) or untitled. If you find any errors in the dataset please contact [lands.gis@yukon.ca](mailto:lands.gis@yukon.ca) Distributed 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@yukon.ca](mailto:geomatics.help@yukon.ca)
Digital Soil Mapping
## Purpose The Ministry of Agriculture, Food and Agribusiness (OMAFA) is responsible for Ontario’s provincial soil maps and maintains and update them as necessary. Digital Soil Mapping (DSM) is a modern methodology using spatially explicit soils and environmental data to predict soil variation throughout a landscape at a high, consistent resolution. Digital soil maps are being rolled out throughout Ontario’s agricultural land base to update provincial soil maps. ## Reach Provincial soil maps are used in many decision-making processes including: * land use planning * land evaluation * farming practices * best management practices * ecological monitoring * land resource mapping Potential users of this data include: * farmers * certified crop advisors * conservation authorities * academic researchers * land use planners ## Potential impacts Digital soil maps provide more accurate and precise soils data and enables improved management of soil resources across multiple stakeholders. This allows for better decision making to maximize land use efficiency, improve economic efficiency of soil resources and promote soil health and soil conservation. ## Technical description Digital soil mapping combines geo-referenced soil observations with geo-referenced environmental layers to mathematically model soil variation as a function of environment variation. These models are based on well established, but often complex relationships, between soil properties and topography, biology, geology and hydrology.
Water Erosion Risk
This map displays the risk of soil degradation by water in the agricultural region of Alberta. Water erosion is a concern because it reduces soil quality by removing soil particles and nutrients, and reduces water quality if these particles are carried into nearby water bodies. The map uses five classes to describe the water erosion risk on bare, unprotected mineral soil: negligible, low, moderate, high and severe.This resource was created using ArcGIS, originally published as a print map in 1993 .
Air Quality Risk
The data, created in ArcGIS, represents an assessment of air quality risk for the agricultural area of Alberta in 2005. Agricultural activities that may have some influence on air quality manure production (odour) and cultivation intensity (particulate matter). The airsheds of the agricultural region of Alberta are considered to be uniform in their physical susceptibility to risk from agricultural activities. Air quality risk is a useful measure for those concerned about health, safety and nuisance issues related the quality of air in agricultural areas. Awareness of where agricultural activities related to livestock production and intensive cultivation are located, may be useful for people with health or nuisance related concerns. Blowing soil can cause respiratory problems and can reduce visibility on roads and highways. Dust from farm traffic can be a concern during peak agricultural activity, such as harvesting or manure hauling. Frequent strong odours can be unpleasant nuisance for neighbours. In areas of greater air quality risk, environmental farm planning can help to address the issues and provide solutions. Practices including pen/barn maintenance, method of manure application, manure storage, composting, adjusting, feed rations and reducing or eliminating tillage can be looked at in an environmental farm plan.
Wind Erosion Risk
This map displays the risk of soil degradation by wind in the agricultural region of Alberta. Wind erosion is a concern because it reduces soil quality by removing soil nutrients, smaller soil particles and organic matter. Wind erosion can reduce air quality during extreme erosion events and also reduce water quality if eroded particles drift into streams and lakes. The map uses five classes to describe the wind erosion risk on bare, unprotected mineral soil: negligible, low, moderate, high and severe. This resource was created using ArcGIS. It was originally published as a print map in 1989.
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