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Found 10 records similar to Canada Landcover - Derived from AVHRR

Federal

The satellite image of Canada is a composite of several individual satellite images form the Advanced Very High Resolution Radiometre (AVHRR) sensor on board various NOAA Satellites. The colours reflect differences in the density of vegetation cover: bright green for dense vegetation in humid southern regions; yellow for semi-arid and for mountainous regions; brown for the north where vegetation cover is very sparse; and white for snow and ice. An inset map shows a satellite image mosaic of North America with 35 land cover classes, based on data from the SPOT satellite VGT (vegetation) sensor.

Last Updated: Mar. 14, 2022
Date Published: Jan. 1, 2006
Organization: Natural Resources Canada
Formats: PDF other
Keywords:  geographical maps, plants, topography
Federal

Contained within the Atlas of Canada's Various Map Series, 1965 to 2006, is a bilingual map produced jointly by Natural Resources Canada and the Canadian Space Agency. The map was produced using 45 separate images taken by AVHRR sensors aboard satellites of the National Aeronautics and Atmospheric Administration (NOAA). The satellite data was enhanced so that certain major land-cover types could be more readily told apart from one another. AVHRR (Advanced Very High Resolution Radiometer) data has pixel resolution of about 1 x 1 kilometre size on the ground.

Last Updated: Mar. 14, 2022
Date Published: Jan. 1, 1991
Organization: Natural Resources Canada
Formats: PDF JPG
Keywords:  lakes, land management, remote sensing, rivers
Federal

The map is based on satellite data obtained from the Advanced Very High Resolution Radiometre (AVHRR) on board the NOAA-14 satellite. Each land cover type can be identified by its unique spectral signature. Each signature is identified by a particular colour on the map. The land cover classes shown on the map are: coniferous forest, broadleaf forest, mixed forest, transition treed shrubland, wetland-shrubland, grassland, tundra, cropland and snow-ice.

Last Updated: Mar. 14, 2022
Date Published: Jan. 1, 2006
Organization: Natural Resources Canada
Formats: PDF other
Keywords:  geographical maps, plants, topography
Federal

Contained within the Atlas of Canada's Various Map Series, 1965 to 2006, is the first of a planned series of regional satellite image maps of all of Canada. It was one of the first satellite image maps to combine imagery and other map components such as boundaries, roads, railways and place names. The imagery is a composite of many images from the United States National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) satellites. The imagery was captured between August 11 to 20, 1990 to obtain cloud-free coverage.

Last Updated: Mar. 14, 2022
Date Published: Jan. 1, 1992
Organization: Natural Resources Canada
Formats: PDF JPG
Keywords:  lakes, remote sensing, rivers, urban communities
Federal

Contained within the Atlas of Canada's Various Map Series, 1965 to 2006, is is the first of a planned series of regional satellite image maps of all of Canada. It was one of the first satellite image maps to combine imagery and other map components such as boundaries, roads, railways and place names. The imagery is a composite of many images from the United States National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) satellites. The imagery was captured between August 11 to 20, 1990 to obtain cloud-free coverage.

Last Updated: Mar. 14, 2022
Date Published: Jan. 1, 1993
Organization: Natural Resources Canada
Formats: PDF JPG
Keywords:  lakes, railway networks, remote sensing, rivers, road networks, urban communities
Federal

The Crop Condition Assessment Program (CCAP) is developed and maintained by the Remote Sensing and Geospatial Analysis Section (RSGA) within the Agriculture Division. The CCAP combines remote sensing, GIS, and the Internet to provide reliable, objective, and timely information on crop and pasture/rangeland conditions using a mapping application for the whole Canadian agricultural area and the northern portion of the United States. The National Oceanic and Atmospheric Administration (NOAA) series of satellites carrying the Advanced Very High Resolution Radiometer (AVHRR) records images of the entire Earth's surface twice a day at one kilometre resolution. This detector captures two spectral bands (red and infrared) that have proven to be extremely useful for vegetation monitoring to produce the Normalized Difference Vegetation Index (NDVI).

Last Updated: Aug. 11, 2021
Date Published: Sep. 1, 2018
Organization: Statistics Canada
Formats: HTML XLS ZIP
Keywords:  Agriculture, Satellite images, AVHRR, NDVI, growing season, Resolution, CCAP, Agricultural assistance, Satellite imagery
Federal

The Canadian long term satellite data record (LTDR) derived from 1-km resolution Advanced Very High Resolution Radiometer (AVHRR) data was produced by the Canada Center for Remote Sensing (CCRS). Processing included: geolocation, calibration, and compositing using Earth Observation Data Manager (Latifovic et al. 2005), cloud screening (Khlopenkov and Trishchenko, 2006), BRDF correction (Latifovic et. al., 2003), atmosphere and other corrections as described in Cihlar et.

Last Updated: Feb. 26, 2022
Date Published: Feb. 16, 2018
Organization: Natural Resources Canada
Formats: ESRI REST
Keywords:  Earth Sciences, Hydrosphere, Ground Water, Surface water, Hydropattern, Rivers, Land surface, Land Use, Land Cover
Federal

This dataset corresponds to daily snow cover percentage at 1km resolution grid over land areas of Canada from 2006-2010. The data are subsampled by 4km to reduce data volumes and considering the geolocation uncertainty of the input satellite imagery. The daily maps are generated by assimilation of daily cloud screened NOAA AVHRR satellite imagery and Canadian Meteorological Centre (CMC) snow depth analysis snow depth and density fields within an off-line version of the CMC daily snow depth model. The snow depth model is modified to include snowpack reflectance model and a surface radiative transfer scheme that relates vegetation and snowpack reflectance to top-of-canopy bi-directional reflectance.

Last Updated: Mar. 2, 2022
Date Published: May 19, 2015
Organization: Natural Resources Canada
Formats: ESRI REST
Keywords:  snow cover, snow areal extent, Canada, Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Northwest Territories
Federal

AVHRR Pathfinder version 5.3 Level 3C night Sea Surface Temperature (SST) was acquired from NOAA at 4 km spatial resolution. The monthly mean value at all pixels was calculated for individual years, then all years were combined to produce final maps of monthly mean and monthly standard deviation of SST, and the number of occurrences of each pixel over the period of observation. The quality level of all satellite observations was also acquired with this dataset, and used to remove any pixels with a quality level lower than 4. Further, pixels with fewer than two occurrences over the period 1990-2020 were removed from these maps, and set to a NaN value in the tif files.

Last Updated: Mar. 29, 2022
Date Published: Mar. 29, 2021
Organization: Fisheries and Oceans Canada
Formats: PNG HTML ESRI REST GeoTIF
Keywords:  Climatology, Oceans, Climate
Federal

AVHRR Pathfinder version 5.3 Level 3C night Sea Surface Temperature (SST) was acquired from NOAA at 4 km spatial resolution. The monthly mean value at all pixels was calculated for individual years, then all years were combined to produce final maps of monthly mean and monthly standard deviation of SST, and the number of occurrences of valid data at each pixel over the period of observation. The quality level of all satellite observations was also acquired with this dataset, and used to remove any pixels with a quality level lower than 4. Further, pixels with fewer than two occurrences over the period 1981-2010 were removed from these maps, and set to a NaN value in the tif files.

Last Updated: Mar. 29, 2022
Date Published: Mar. 29, 2021
Organization: Fisheries and Oceans Canada
Formats: PNG HTML ESRI REST GeoTIF
Keywords:  Climatology, Climate, Oceans
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