Vegetation
Type of resources
Available actions
Topics
Keywords
Contact for the resource
Provided by
Years
Formats
Representation types
Update frequencies
status
Service types
Scale
-
Vegetation characterization for Allegheny Portage Railroad, PA
-
Vegetation characterization for Congaree National Park, SC
-
Vegetation characterization for Badlands National Park, SD
-
Vegetation characterization for Agate Fossil Beds National Monument, NE
-
The dataset includes two data products derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) imager operated by the US National Oceanic and Atmospheric Administration (NOAA) onboard Suomi National Polar-Orbiting Partnership (SNPP) satellite: 1) Normalized Difference Vegetation Index (NDVI) 2) Snow Mask (Snow) with supplementary information about data quality and scene identification Each product, NDVI and Snow, has been derived at two spatial resolutions: 1) I-band resolution for 250-m spatial grid (VIIRS image bands I1 and I2) 2) M-band resolution for 500-m spatial grid (VIIRS moderate resolution bands M5 and M7) Datasets are produced with a daily temporal frequency, i.e. one file per day. The study area with the size of 5,700 km × 4,800 km covers Canada and neighboring regions (Trishchenko, 2019). The VIIRS time series are produced from VIIRS /SNPP imagery at CCRS from January 1, 2017.
-
Primary Productivity is calculated from NASA Aqua MODIS Chl a SST data. THIS IS AN EXPERIMENTAL PRODUCT: intended strictly for scientific evaluation by professional marine scientists.
-
Primary Productivity is calculated from NASA Aqua MODIS Chl a SST data. THIS IS AN EXPERIMENTAL PRODUCT: intended strictly for scientific evaluation by professional marine scientists.
-
__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The Forest Inventory Directorate of the Ministry of Natural Resources and Forests (MRNF) began, in 2021, the production of data that indicates the strength of forest vegetation based on the NBR vegetation index * (Normalized Burn Ratio) *. These data are produced from images from Sentinel-2A/B satellites. The purpose of the layer thus produced is to present a regional portrait, at a given date, of the strength of forest vegetation, at the pixel scale. Before integrating these data into forest planning, it is recommended to plan validation work by photo-interpretation or by means of field visits. It should also be noted that these data are complementary to the other existing data layers (ecoforestry data, fires, harvesting and reforestation, defoliation records from aerial overflights, etc.).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
-
Circumpolar trends in primary productivity as indicated by the maximum Normalised Difference Vegetation Index, 1982–2017. (a) Brown shading indicates negative MaxNDVI trends, green shading indicates positive MaxNDVI trends. (b) Chart of trends for the circumpolar Arctic, Eurasia, and North America. Modified from Frost et al. 2020. STATE OF THE ARCTIC TERRESTRIAL BIODIVERSITY REPORT - Chapter 3 - Page 30 - Figure 3.1
-
**Note that topographic maps at a scale of 1/100,000 are no longer updated. For the latest update date, see the [metadata] (ftp://transfert.mern.gouv.qc.ca/public/diffusion/RGQ/Documentation/BDAT/Metadonnees_BDAT100k_NordSud.xls). The reference cartographic data is now constituted according to a continuous information layer approach: ** * [AQRéseau+] (https://www.donneesquebec.ca/recherche/fr/dataset/adresses-quebec) * [Geobase of the Quebec Hydrographic Network (GRHQ)] (https://www.donneesquebec.ca/recherche/dataset/grhq) * [Administrative divisions at the scale of 1/20,000 (SDA)] (SDA)] (https://www.donneesquebec.ca/recherche/fr/dataset/decoupages-administratifs) * [Geobase of the hydrographic terrain network of Quebec (GRHQ)] () * [Administrative divisions at the scale of 1/20,000 (SDA)] ( https://www.donneesquebec.ca/recherche/fr/dataset/modeles-numerique-de-terrain-hydro-coherents-a-l-echelle-regionale) ___ Topographic maps at a scale of 1/100,000 offer an overview of the occupation of Quebec territory at a scale of 1/100,000. A series in the south (266 sheets) and a series in the north (151 sheets) of the 53rd parallel cover the majority of Quebec. The data is less than 10 meters accurate and each file covers an area of approximately 4,000 km2, equivalent to 16 sheets at [a scale of 1/20,000] (https://www.donneesquebec.ca/recherche/fr/dataset/cartes-topographiques-a-l-echelle-de-1-20-000 “Topographic maps at a scale of 1/20,000”). Main components: * Hydrography (lakes of more than three hectares, permanent watercourses, swamps, etc.). * Vegetation (wooded areas and peatlands of more than 13 hectares). * Human constructions: * transport infrastructures (motorable roads, bridges, airports, etc.); * buildings larger than 12,500 m2; * buildings larger than 12,500 m2; * equipment and designated areas. * The relief (level curves at an equidistance). of 20 meters and elevation points). ##### Special features of the series south of the 53rd parallel * The data are obtained by a generalization of map data on a scale of 1/20,000. Between the 51st and the 53rd parallel, they are extracted from SPOT satellite imagery at 10 meters of resolution. * The data formats available for this series are: * Cover ArcInfo (vector); * GeoTIFF, CCL projection (matrix); * GeoTIFF, MTM projection (matrix); * GeoTIFF, MTM projection (matrix); * PDF (matrix); * PDF (matrix). ##### Special features of the series north of the 53rd parallel * The data is obtained by a generalization of map data from Natural Resources Canada (CanVec product) at a scale of 1:50,000. Multi-source data, namely data from Adresses Québec, data on airports and hydrobases from the Ministère des Transports du Québec, and data on reservoirs from Hydro-Québec, increase the quality of this cartographic product on a scale of 1/100,000. * The data format available for this series is: * FGDB (vector).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**