Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories

Author:

McNairn Heather,Champagne Catherine,Shang Jiali,Holmstrom Delmar,Reichert Gordon

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference43 articles.

1. D.F. Acton, and L.J. Gregorich (Eds.), 1995. The health of our soils — towards sustainable agriculture in Canada. Centre for Land and Biological Resources Research, Research Branch, Agriculture and Agri-Food Canada, Ottawa, Ont. xiv + 138 pp

2. Allen, R., Hanuschak, G., Mike Craig, M., 2005. History of remote sensing for crop acreage in USDA’s National Agricultural Statistics Service. 2002. URL: http://www.usda.gov/nass/nassinfo/remotehistory.htm

3. Synergy of multitemporal ERS-1 SAR and landsat TM data for classification of agricultural crops;Ban;Canadian Journal of Remote Sensing,2003

4. Efficiency of crop identification based on optical and SAR image time series;Blaes;Remote Sensing of Environment,2005

5. Multidate SAR/TM synergism for crop classification in western Canada;Brisco;Photogrammetric Engineering and Remote Sensing,1995

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