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Found 10 records similar to Canadian Land Cover, Circa 2000 (Vector) - GeoBase Series, 1996-2005

Federal

This land cover data set was derived from the Advanced Very High Resolution Radiometer (AVHRR) sensor operating on board the United States National Oceanic and Atmospheric Administration (NOAA) satellites. Information on the NOAA series of satellites can be found at www.noaa.gov/satellites.html The vegetation and land cover information set has been classified into twelve categories. Information on the classification of the vegetation and land cover, raster to vector conversion, generalization for cartographic presentations is included in the paper "The Canada Vegetation and Land Cover: A Raster and Vector Data Set for GIS Applications - Uses in Agriculture" (https://geogratis.cgdi.gc.ca/download/landcover/scale/gis95ppr.pdf). A soil quality evaluation was obtained by cross-referencing the AVHRR information with Census of Agriculture records and biophysical (Soil Landscapes of Canada) data and is also included in the above paper.

Last Updated: Jul. 27, 2021
Date Published: May 27, 2014
Organization: Agriculture and Agri-Food Canada
Formats: PDF FGDB/GDB GML
Keywords:  Land management, Remote sensing
Federal

The “Land Cover for Agricultural Regions of Canada (circa 2000), Date Index” dataset is a geospatial data layer containing polygon features representing the Landsat scene number, associated dates and other products that were incorporated into the thematic land cover classification which is contained within the AAFC Landcover (circa 2000) product.

Last Updated: Jul. 27, 2021
Date Published: Apr. 1, 2009
Organization: Agriculture and Agri-Food Canada
Formats: PDF FGDB/GDB XLS PNG GML
Keywords:  Earth sciences, Land cover, Remote sensing
Federal

The “Land Cover for Agricultural Regions of Canada, circa 2000” is a thematic land cover classification representative of Circa 2000 conditions for agricultural regions of Canada. Land cover is derived from Landsat5-TM and/or 7-ETM+ multi-spectral imagery by inputting imagery and ground reference training data into a Decision-Tree or Supervised image classification process. Object segmentation, pixel filtering, and/or post editing is applied as part of the image classification. Mapping is corrected to the GeoBase Data Alignment Layer.

Last Updated: Jul. 27, 2021
Date Published: Apr. 1, 2009
Organization: Agriculture and Agri-Food Canada
Formats: GML WMS FGDB/GDB ESRI REST GeoTIF PDF XLS PNG
Keywords:  Land use, Earth sciences, Remote sensing
Federal

This series of datasets has been created by AAFC’s National Agroclimate Information Service (NAIS) of the Agro-Climate, Geomatics and Earth Observations (ACGEO) Division of the Science and Technology Branch. The Canadian Drought Monitor (CDM) is a composite product developed from a wide assortment of information such as the Normalized Difference Vegetation Index (NDVI), streamflow values, Palmer Drought Index, and drought indicators used by the agriculture, forest and water management sectors. Drought prone regions are analyzed based on precipitation, temperature, drought model index maps, and climate data and are interpreted by federal, provincial and academic scientists. Once a consensus is reached, a monthly map showing drought designations for Canada is digitized.

Last Updated: Aug. 25, 2022
Date Published: Dec. 9, 2014
Organization: Agriculture and Agri-Food Canada
Formats: SHP GML WMS FGDB/GDB GEOJSON HTML PDF ESRI REST
Keywords:  Climate, Drought, Precipitation
Federal

LiDAR data collected in 2018 of water control structures in Tennaille, Newton, and Huff Lake in Saskatchewan, Canada. Includes Digital Terrain Models, Contours, and Orthorectified imagery.

LiDAR Data to be used by AAFC to assess whether additional land control should be pursued and other hydrological studies including potential dam break failure scenarios.

Last Updated: Jul. 27, 2021
Date Published: Jul. 25, 2019
Organization: Agriculture and Agri-Food Canada
Formats: SHP GML FGDB/GDB GEOJSON GeoTIF PDF LAS
Keywords:  Farmlands, Agriculture, Topography, Hydrography
Federal

The ‘Land use allocation to Soils and Landforms by year’ dataset links agricultural land use activities to soils and landscapes within Soil Landscapes of Canada (SLC) polygons. The land use allocations to soils area datasets were generated on an annual time step (1971-2015). Agricultural land use is categorized and allocated based on the following general land use types: Annual cropland, Perennial cropland, Specialty Crops, Improved pasture and Unimproved Pasture.

Last Updated: Apr. 28, 2022
Date Published: Oct. 26, 2017
Organization: Agriculture and Agri-Food Canada
Formats: PDF FGDB/GDB CSV GML
Keywords:  Farms, Soil taxonomy
Federal

The Manitoba Detailed Soil Survey dataset series at a scale of 1:100 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF).

Together, these datasets describe the spatial distribution of soils and associated landscapes for nearly all agricultural areas in southern Manitoba, as well as some parts of northern and eastern Manitoba.

Last Updated: Jul. 27, 2021
Date Published: Oct. 31, 2013
Organization: Agriculture and Agri-Food Canada
Formats: PDF FGDB/GDB CSV GML
Keywords:  Soil taxonomy
Federal

The “Prairie Agricultural Landscapes (PAL)” datasets identify areas of the agricultural portions of the Canadian Prairies with similar land and water resources, land use and farming practices. They are represented by vector polygons. Based on selected attributes from the Soil Landscapes of Canada (SLC) and the 1996 Census of Agriculture, the Prairies were classified into 13 (thirteen) classes of Land Practices Group and five (5) Major Land Practices Groups. Typical attributes used to define the Land Practice Groups include: land in pasture, land in summerfallow, crop mixture, farm size and the level of chemical and fertilizer inputs.

Last Updated: Jul. 27, 2021
Date Published: May 14, 2013
Organization: Agriculture and Agri-Food Canada
Formats: WMS PDF FGDB/GDB ESRI REST GML
Keywords:  Agriculture, Farmlands, Crops, Terrestrial ecosystems, Land cover
Federal

LiDAR Services International (LSI), a Calgary-based LiDAR company completed an airborne LiDAR survey for the Redberry Lake Biosphere Reserve (RLBR) and Agriculture and Agri-Foods Canada (AAFC) in October 2011. The project involved collection of LiDAR data for a 362.97 km2 block area, 252.77 km2 for Redberry Lake and 110.20 km2 for AAFC northwest of Saskatoon, SK.

Deliverables included:

• 1 m bare earth and full feature grids in 1 km x 1 km tiles (ASCII XYZ format)

• 1 m bare earth and full feature greyscale hillshades (GeoGeoTIF format)

• Classified LiDAR point clouds and ASCII extractor program (LAS v1.2 format)

Last Updated: Jul. 27, 2021
Date Published: Oct. 31, 2011
Organization: Agriculture and Agri-Food Canada
Formats: PDF FGDB/GDB GeoTIF GML
Keywords:  Topography
Federal

The “Soil Landscapes of Canada (SLC) Version 3.2” dataset series provides a set of geo-referenced soil areas (polygons) that are linked to attribute data found in the associated Component Table (CMP), Component Rating Table (CRT), Soil Names Table (SNT), Soil Layer Table (SLT), Landscape Segmentation Table (LST), Landform Extent Table (LET), Landform Definition Table and Ecological Framework Table (EFT). Together, these datasets describe the spatial distribution of soils and associated landscapes for the agricultural areas of Canada. However, some provinces (Alberta, Nova Scotia, and Prince Edward Island) contain CMP, SNT and SLT data for the entire province (that is, beyond the agricultural areas). This version is complemented by the previous SLC version 2.2, which covers the entire country.

Last Updated: Jul. 27, 2021
Date Published: May 14, 2013
Organization: Agriculture and Agri-Food Canada
Formats: PDF FGDB/GDB CSV GML
Keywords:  Earth sciences, Agriculture, Soil taxonomy, Soil, Terrestrial ecosystems, Wetlands
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