The capability of ERS-1 SAR precision data to discriminate between crop types for land cover inventory purposes at the earliest stage in the growing season was assessed using a field-based classification. The objectives were tested for an agriculturalregion in the Netherlands, where twelve crop types are found. Fourteen ERS-1 SAR images were available for this area, covering the 1992 growing season (May to November). The field-based classification yielded an overall classification accuracy of 80% with the optimal data set. The stage at which the crop types could be assessed depended on the crop. Cereals could be discriminated in May, potatoes and rape-seed in May and June.
|Journal||International Journal of Remote Sensing|
|Publication status||Published - 1995|
- arable farming
- field crops
- land use
- physical planning
- remote sensing