DocumentCode
144363
Title
Annual space-based crop inventory for Canada: 2009–2014
Author
Fisette, T. ; Davidson, A. ; Daneshfar, B. ; Rollin, P. ; Aly, Z. ; Campbell, L.
Author_Institution
Agric. & Agri-Food Canada, Ottawa, ON, Canada
fYear
2014
fDate
13-18 July 2014
Firstpage
5095
Lastpage
5098
Abstract
Starting in 2009, Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps using satellite imagery. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology was applied using optical (Landsat, Resourcesat-1, DMC, SPOT) and radar (Radarsat-2) imagery. Starting with the 2011 growing season, this activity was extended to other provinces in support of a national crop inventory. Since then, AAFC has consistently delivered an annual crop inventory that is close to the overall target accuracy of 85% at the national scale. However, from one province to another, and from one year to another, the classification accuracy is not uniform. It varies depending on satellite data availability and training site distribution. In an effort to improve mapping quality, the methodology is constantly evolving and new classifiers are under investigation.
Keywords
crops; decision trees; remote sensing; AD 2009 to 2014; Agriculture and AgriFood Canada; DMC data; Decision Tree based methodology; Landsat data; Prairie Provinces; Radarsat-2 imagery; Resourcesat-1 data; SPOT data; annual space based crop inventory; satellite imagery; Accuracy; Agriculture; Optical imaging; Optical sensors; Remote sensing; Satellites; Training; Agriculture; Classification; Land Cover; Land Use; Remote Sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6947643
Filename
6947643
Link To Document