Count of Mean Weekly Best-Quality Maximum-NDVI

Count of Mean Weekly Best-Quality Maximum-NDVI 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. 2023-02-23 Agriculture and Agri-Food Canada agri-geomatics-agrog@agr.gc.ca Form DescriptorsAgricultureCropsClimateRemote sensing Data Product Specification (English)PDF https://agriculture.canada.ca/atlas/data_donnees/calms/supportdocument_documentdesupport/en/ISO_19131_CALMS_DATA_PRODUCTS_Data_Product_Specification.pdf Pre-packaged GeoTIF filesGeoTIF https://agriculture.canada.ca/atlas/data_donnees/calms/tif/mod_bestquality_maxndvi_baseline_count/ Data Product Specification (French)PDF https://agriculture.canada.ca/atlas/data_donnees/calms/supportdocument_documentdesupport/fr/ISO_19131_PRODUITS_DE_DONNEES_CALMS.pdf Backgrounder (English)PDF https://agriculture.canada.ca/atlas/data_donnees/calms/supportdocument_documentdesupport/en/Background_to_the_MODIS_NDVI_Composites.pdf

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.

Data and Resources

Geographic Information

Spatial Feature

Contact Information

Country: Canada

Electronic Mail Address: agri-geomatics-agrog@agr.gc.ca

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