TerraSAR-X and RADARSAT-2 for crop classification and acreage estimation.
McNairn, H., Shang, J., Champagne, C., and Jiao, X. (2009). "TerraSAR-X and RADARSAT-2 for crop classification and acreage estimation.", International Geoscience and Remote Sensing Symposium (IGARSS), pp. II898-II901. doi : 10.1109/IGARSS.2009.5418243 Access to full text
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.
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