Each pixel value corresponds to the actual number (count) of valid Best-quality Max-NDVI values used to calculate the mean weekly values for that pixel. Since 2020, the maximum number of possible observations used to create the Mean Best-Quality Max-NDVI for the 2000-2014 period is n=20. However, because data quality varies both temporally and geographically (e.g. cloud cover and snow cover in spring; cloud near large water bodies all year), the actual number (count) of observations used to create baselines can vary significantly for any given week and year.

Each pixel value corresponds to the day-of-week (1-7) from which the Weekly Best-Quality NDVI retrieval is obtained (1 = Monday, 7 = Sunday).

AAFC’s Canadian Ag-Land Monitoring System (CALMS), operational since 2009, was developed by AAFC’s Earth Observation Service (EOS) to deliver weekly NDVI-based maps of crop condition in near-real-time. The CALMS uses data collected by the Moderate Resolution Imaging Spectro-radiometer (MODIS), a sensor mounted onboard NASA’s Terra satellite that has been acquiring data since February 2000. The state-of-the-art radiometric, spectral and spatial resolutions of MODIS Terra make it particularly well-suited for large-scale vegetation mapping and assessment. Crop condition (NDVI) maps are generated weekly by AAFC throughout Canada’s growing season, the period defined as the six-month period stretching from the start of Julian week 12 (end of March) to the end of Julian week 44 (late October). Weeks of the year are defined according to the ISO 8601 week-numbering standard, where weeks start on a Monday and end the following Sunday. CALMS products are generated in the MODIS native Integrated Sinusoidal (ISIN) projection for the region covering the twelve MODIS tiles h09v03 to h14v03 and h09v04 to h14v04.

This collection is a legacy product that is no longer supported. It may not meet current government standards. Land Cover information is the result of vectorization of raster thematic data originating from classified Landsat 5 and Landsat 7 ortho-images, for agricultural and forest areas of Canada, and for Northern Territories. The forest cover was produced by the Earth Observation for Sustainable Development (EOSD) project, an initiative of the Canadian Forest Service (CFS) with the collaboration of the Canadian Space Agency (CSA) and in partnership with the provincial and territorial governments. The agricultural coverage is produced by the National Land and Water Information Service (NLWIS) of Agriculture and Agri-Food Canada (AAFC). Northern Territories land cover was realized by the Canadian Centre of Remote Sensing (CCRS). Land Cover data are classified according to a harmonized legend build from the partner's legends. This legend is principally based on the legend described in following publication: EOSD publication: EOSD Land Cover Classification Legend Report, on which CFS and AAFC collaborated. Some classes related to Northern environments where added in order to meet the interpretation of the Northern land cover classification experts. Initially, Land Cover vector data are closest as possible to the source (original raster data). Slight differences can occur because the raster data goes through a data portrayal before being vectorized in order to enhance visual representation such as minimum size, smoothness of polygons and geometry.

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.

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

Nú hafa Landmælingar Íslands útbúið vefkort með því að staðsetja og klippa saman hin svokölluðu Herforingjaráðskort. Eftirfarandi lýsing á Herforingjaráðskortum er tekin af vef Landsbókasafns: Á síðasta áratug 19. aldar varð dönskum yfirvöldum ljóst að þau kort sem til voru af Íslandi stæðust ekki þær kröfur sem gera þyrfti í samfélagi þess tíma. Bestu kort af Íslandi sem buðust voru í stórum dráttum byggð á strandmælingum danska sjóhersins sem fram fóru á árunum 1801-1818 annars vegar og hins vegar á kortum Björns Gunnlaugssonar sem byggð voru á fyrrnefndum strandmælingum og eigin mælingum Björns á árunum 1831-1843. Á fjárlögum 1899 voru veittar 5000 krónur og skyldi hefja nýjar þríhyrninga- og strandmælingar á Reykjanesi. Árið 1900 var gefin út í Danmörku tilskipun um að sendur skyldi leiðangur til Íslands til að mæla hér grunnlínu og hnattstöðu. Síðan var ætlunin að mæla þríhyrninganet út frá nýju grunnlínunni. Hingað voru sendir danskir liðsforingjar og sumarið 1900 var unnin ýmis undirbúningsvinna. Árið 1902 höfðu fjárveitingar verið auknar svo að rétt þótti að hefjast handa. Byrjað var á Hornafirði og mælt vestur ströndina og um lágsveitir Suðurlands en uppsveitum og hálendi frestað. Verkinu var svo haldið áfram tvö næstu árin en féll niður 1905 vegna fjárskorts og annarra anna hjá Landmælingadeild danska herforingjaráðsins (Generalstabens topografiske Afdeling) er tókst verkið á hendur. Eftir eins árs bið var þráðurinn tekinn upp að nýju enda bættist nú við fjárstyrkur úr ríkissjóði Dana. Á árunum 1906-1914 var unnið öll sumur, nema 1909, þegar ekkert var aðhafst. Var þá lokið byggðamælingum sunnanlands og mælt um Vesturland, norður og austur um Húnaflóa. Árangurinn var 117 kortblöð af þriðjungi landsins, suður- og vesturhluta, í mælikvarða 1:50.000 (auk nokkurra sérkorta af afmörkuðum svæðum). Þau eru gjarnan nefnd herforingjaráðskortin í höfuðið á þeim sem stóðu fyrir gerð þeirra.

Each pixel value corresponds to the difference (anomaly) between the mean “Best-Quality” Max-NDVI of the week specified (e.g. Week 18, 2000-2014) and the “Best-Quality” Max-NDVI of the same week in a specific year (e.g. Week 18, 2015). Max-NDVI anomalies < 0 indicate where weekly Max-NDVI is lower than normal. Anomalies > 0 indicate where weekly Max-NDVI is higher than normal. Anomalies close to 0 indicate where weekly Max-NDVI is similar to normal.

Each pixel value corresponds to the best quality maximum NDVI recorded within that pixel over the week specified. Poor quality pixel observations are removed from this product. Observations whose quality is degraded by snow cover, shadow, cloud, aerosols, and/or low sensor zenith angles are removed (and are assigned a value of “missing data”). In addition, negative Max-NDVI values, occurring where R reflectance > NIR reflectance, are considered non-vegetated and assigned a value of 0. This results in a Max-NDVI product that should (mostly) contain vegetation-covered pixels. Max-NDVI values are considered high quality and span a biomass gradient ranging from 0 (no/low biomass) to 1 (high biomass).

BTM ( Baseline Thematic Mapping) Landsat Image Catalogue Acquisition Dates. This polygon coverage contains the date of capture of the Landsat images making up the seamless BC Landsat image catalogue. This is not a multipart feature