Title :
TerraSAR-X and RADARSAT-2 for crop classification and acreage estimation
Author :
McNairn, H. ; Shang, J. ; Champagne, C. ; Jiao, X.
Author_Institution :
Agric. & Agri-Food Canada, Ottawa, ON, Canada
Abstract :
This research outlines a preliminary assessment of the use of TerraSAR-X data for classifying agricultural crop land in Canada. X-Band data were able to identify crops (pasture-forage, soybeans, corn and wheat) to accuracies of 95% once a post-classification filter was applied. These accuracies were achieved using six TerraSAR-X images from 2008 and a decision-tree classification algorithm. Acquisitions began only mid-season and consequently a second full season TerraSAR-X data set is being collected in 2009. C-Band classification accuracies were about 10% lower in comparison. These results clearly demonstrate the potential of X-Band data for crop identification.
Keywords :
crops; decision trees; geophysical image processing; radar imaging; remote sensing by radar; synthetic aperture radar; vegetation mapping; AD 2008; AD 2009; C-band classification; Canada; RADARSAT-2; TerraSAR-X data; X-band data; acreage estimation; agricultural crop land classification; corn; crop classification; crop identification; decision-tree classification algorithm; pasture-forage; postclassification filter; preliminary assessment; soybeans; wheat; Agriculture; Biomedical optical imaging; Classification algorithms; Crops; Frequency; L-band; Optical filters; Optical polarization; Satellites; Sensor phenomena and characterization; RADARSAT-2; TerraSAR-X; crop classification;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5418243
