2000 AAFC Land Use

2000 AAFC Land Use 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. 2024-06-17 Agriculture and Agri-Food Canada agri-geomatics-agrog@agr.gc.ca Form DescriptorsAgricultureSatellitesCropsFarmlands Pre-packaged GeoTIF files (No linguistic component)GeoTIF https://agriculture.canada.ca/atlas/data_donnees/landuse/data_donnees/tif/2000/ Data Product Specification (French)PDF https://agriculture.canada.ca/atlas/data_donnees/landuse/supportdocument_documentdesupport/fr/Utilisation_des_terres_AAC_-_SPC_19131.pdf 2000 AAFC Land Use MapsESRI REST https://agriculture.canada.ca/atlas/rest/services/imageservices/landuse_30m_2000/ImageServer 2000 AAFC Land Use MapsESRI REST https://agriculture.canada.ca/atlas/rest/services/servicesimage/utilisation_des_terres_30m_2000/ImageServer Data Product Specification (English)PDF https://agriculture.canada.ca/atlas/data_donnees/landuse/supportdocument_documentdesupport/en/ISO_19131_AAFC_Land_Use_Data_Product_Specification.pdf

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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Country: Canada

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

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