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

Volume

2

fYear

2009

fDate

12-17 July 2009

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.2009.5418243

Filename

5418243