Abstract
Preliminary results are reported of an investigation into the potential application of SLR images (by which we mean both SAR and SLAR images) for crop-inventory purposes employing temporal dependency to obtain multi-dimensional observations. To evaluate this potential, SLR-image data are simulated, and subsequently classified. The results, which are restricted to VV-polarized X-band data, taken at a typical SLAR angle of 20° (grazing), indicate that an overall average error fraction of less than 20 percent can be reached for the region involved, with less than 5-percent error for some crops.
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