Annual Crop Inventory

Understanding the state and trends in agriculture production is essential to combat both short-term and long-term threats to stable and reliable access to food for all, and to ensure a profitable agricultural sector. Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology was applied using optical (Landsat-5, AWiFS, DMC) and radar (Radarsat-2) based satellite images. Beginning with the 2011 growing season, this activity has been extended to other provinces in support of a national crop inventory. To date this approach can consistently deliver a crop inventory that meets the overall target accuracy of at least 85% at a final spatial resolution of 30m (56m in 2009 and 2010).

Data and Resources

Additional Info

Field Value
Source
Version
Author
Author Email
Maintainer
Maintainer Email
Data Level
Agreement Required
Purpose Constraints
Redistribution Allowed
AI Training Allowed
Data Steward
Title (French) Inventaire annuel des cultures
Update Frequency P1Y
Geographic Scope []
Criticality Level []
Sensitivity Level unrestricted
Language
Contact Person {"en": "Government of Canada; Agriculture and Agri-Food Canada; Science and Technology Branch,agri-geomatics-agrog@agr.gc.ca", "fr": "Gouvernement du Canada; Agriculture et Agroalimentaire Canada; direction générale des sciences et de la technologie,agri-geomatics-agrog@agr.gc.ca"}
Contact Email agri-geomatics-agrog@agr.gc.ca
Data Dictionary EPSG:32611,http://www.epsg.org,8.3.4
Open Canada Date Published 2013-11-04 00:00:00
Open Canada Date Modified
Open Canada Subject ["agriculture", "form_descriptors", "nature_and_environment", "science_and_technology"]
Open Canada Keywords {"en": ["Satellites", "Crops", "Agriculture"], "fr": ["Satellite", "Cultures", "Agriculture"]}
Open Canada Collection fgp
Principal Organization
Reference Data
Official Source