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imageryBaseMapsEarthCover

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    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. AVHRR Land Cover Data approximates a 1:2M scale and was done originally for Agriculture Canada. The projection used is Lambert Conformal Conic (LCC) 49/77 with origin at 49N 95W.

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    This collection is a legacy product that is no longer supported. It may not meet current Government standards. The National Topographic Data Base (NTDB) comprises digital vector data sets that cover the entire Canadian landmass. The NTDB includes features such as watercourses, urban areas, railways, roads, vegetation, and relief. The organizational unit for the NTDB is the National Topographic System (NTS), based on the North American Datum of 1983 (NAD83). Each file (data set) consists of one NTS unit at either the 1:50,000 or 1:250,000 scale. Related Products: [NTDB Correction Matrices, 2003-2009](https://ouvert.canada.ca/data/en/dataset/b6d0c19c-27e3-4392-b21f-49b1eec95653)

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    The 1 cm resolution vegetation digital height model was extracted using a bare earth model and digital surface model (DSM) derived from unmanned aerial vehicle (UAV) imagery acquired from a single day survey on July 28th 2016, in Cambridge Bay, Nunavut. The mapping product covers 525m2 and was produced by Canada Centre for Remote Sensing /Canada Centre for Mapping and Earth Observation. The UAV survey was completed in collaboration with the Canadian High Arctic Research Station (CHARS) for northern vegetation monitoring research. For more information, refer to our current Arctic vegetation research: Fraser et al; "UAV photogrammetry for mapping vegetation in the low-Arctic" Arctic Science, 2016, 2(3): 79-102. http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2016-0008

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    FCOVER corresponds to the amount of the ground surface that is covered by vegetation, including the understory, when viewed vertically (from nadir). FCOVER is an indicator of the spatial extent of vegetation independent of land cover class. It is a dimensionless quantity that varies from 0 to 1, and as an intrinsic property of the canopy, is not dependent on satellite observation conditions.This product consists of FCOVER indicator during peak-season (June-July-August) at 100m resolution covering Canada's land mass.

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    Note: To visualize the data in the viewer, zoom into the area of interest. The National Air Photo Library (NAPL) of Natural Resources Canada archives over 6 million aerial photographs covering all of Canada, some of which date back to the 1920s. This collection includes Time Series of aerial orthophoto mosaics over a selection of major cities or targeted areas that allow the observation of various changes that occur over time in those selected regions. These mosaics are disseminated through the Data Cube Platform implemented by NRCan using geospatial big data management technologies. These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The data is available as Cloud Optimized GeoTIFF (COG) for direct access and as Web Map Services (WMS) or Web Coverage Services (WCS) with a temporal dimension for consumption in Web or GIS applications. The NAPL mosaics are made from the best spatial resolution available for each time period, which means that the orthophotos composing a NAPL Time Series are not necessarily coregistrated. For this dataset, the spatial resolutions are: 25 cm for the year 1950, 75 cm for the year 1960, 50 cm for the year 1964, 75 cm for the year 1973, 75 cm for the year 1994 and 50 cm for the year 2001. The NAPL indexes and stores federal aerial photography for Canada, and maintains a comprehensive historical archive and public reference centre. The Earth Observation Data Management System (EODMS) online application allows clients to search and retrieve metadata for over 3 million out of 6 million air photos. The EODMS online application enables public and government users to search and order raw Government of Canada Earth Observation images and archived products managed by NRCan such as aerial photos and satellite imagery. To access air photos, you can visit the EODMS web site: https://eodms-sgdot.nrcan-rncan.gc.ca/index-en.html

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    The AAFC Land Use Time Series is a culmination and curated meta-analysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and embedded within each 30m x 30m pixel to create consolidated pixel histories, resulting in thousands of unique combinations of evidence ready for careful consideration. Informed by many sources of high-quality evidence and visual observation of imagery in Google Earth, we apply an incremental strategy to develop a coherent best current understanding of what has happened in each pixel through the time series.

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    Samsettar og uppréttar sögulegar loftmyndir af Íslandi. Unnið er að því að staðsetja loftmyndir frá 1974 og 1994 – 2000 úr loftmyndasafni Landmælinga Íslands (https://gatt.lmi.is/geonetwork/srv/ice/catalog.search#/metadata/d2323e18-ab9f-495d-8a4e-58c2a5fb096e ). Myndirnar eru birtar jafnóðum og búið er að staðsetja þær en ætlunin er að staðsetja eldri myndir síðar. Svæði af myndum sem teknar voru í sama flugi og úr sömu flughæð eru sett saman. Upplausn myndanna er yfirleitt 50 cm. Búið er að vinna myndirnar með sjálfvirkum aðferðum. Ákveðnar staðsetningar eru valdar af gervitunglamyndum (https://gatt.lmi.is/geonetwork/srv/ice/catalog.search#/metadata/e542c260-6431-48a5-8065-93350b8cb3a1) og stilltar af á ÍslandsDEM landhæðalíkaninu (https://gatt.lmi.is/geonetwork/srv/ice/catalog.search#/metadata/e6712430-a63c-4ae5-9158-c89d16da6361 ). Gerð eru nákvæm landhæðalíkön úr sögulegu loftmyndunum þar sem hæðarnákvæmni er yfirleitt innan við 1 m. Líkönin eru síðan notuð til að staðsetja loftmyndirnar. Áætluð staðsetningarnákvæmni myndanna er minna en 2 m. ---------------------------------------------------------------------------------------------------------------- This repository includes orthorectified and mosaicked historical aerial images from all over Iceland. The datasets are created from historical aerial images on film from the years 1974, 1994 - 2000 from the aerial photograph collection of the NLSI (https://gatt.lmi.is/geonetwork/srv/ice/catalog.search#/metadata/d2323e18-ab9f-495d-8a4e-58c2a5fb096e). Each mosaic is created from images taken on the same day at approximately the same height. The resolution of the mosaics is usually 50 cm. The historical photographs have been processed using automated methods of detection of points of interest (control points?) using the Maxar mosaic (https://gatt.lmi.is/geonetwork/srv/ice/catalog.search#/metadata/e542c260-6431-48a5-8065-93350b8cb3a1)) followed by a refined correction of the cameras using the IslandsDEM (https://gatt.lmi.is/geonetwork/srv/ice/catalog.search#/metadata/e6712430-a63c-4ae5-9158-c89d16da6361) as reference. For each block of historical photographs, an accurate Digital Elevation Model (DEM) is created (where the vertical accuracy is typically better than 1 m), which is used to orthorectify the aerial photographs. The estimated horizontal accuracy of the orthorectified aerial imagery is better than 2 meters.

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    The 2000 AAFC Land Use is a culmination and curated metaanalysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and embedded within each 30m x 30m pixel to create consolidated pixel histories, resulting in thousands of unique combinations of evidence ready for careful consideration. Informed by many sources of high-quality evidence and visual observation of imagery in Google Earth, we apply an incremental strategy to develop a coherent best current understanding of what has happened in each pixel through the time series.

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    The 2010 AAFC Land Use is a culmination and curated metaanalysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and embedded within each 30m x 30m pixel to create consolidated pixel histories, resulting in thousands of unique combinations of evidence ready for careful consideration. Informed by many sources of high-quality evidence and visual observation of imagery in Google Earth, we apply an incremental strategy to develop a coherent best current understanding of what has happened in each pixel through the time series.

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    The 0.34 cm resolution orthomosaic was created from unmanned aerial vehicle (UAV) imagery acquired from a single day survey, July 28th 2016, in Cambridge Bay, Nunavut. Five control points taken from a Global Differential Positioning System were positioned in the corners and the center of the vegetation survey. The orthomosaic covering 525m2 was produced by Canada Centre for Remote Sensing /Canada Centre for Mapping and Earth Observation. The UAV survey was completed in collaboration with the Canadian High Arctic Research Station (CHARS) for northern vegetation monitoring research. For more information, refer to our current Arctic vegetation research: Fraser et al; "UAV photogrammetry for mapping vegetation in the low-Arctic" Arctic Science, 2016, 2(3): 79-102. http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2016-0008.