The feasibility of MSS LANDSAT data analysis for crop recognition and area estimation was tested in a pilot area in Argentina, as an attempt to improve the current conventional crop production forecasting method. The main crop in Argentina is wheat and the study area was the Partido of Tres Arroyos. Two contiguous crop years were considered; LANDSAT and ground data were used and two methods (total coverage and sample estimation) were tested. Results show that oats are an important confusion crop but when considering them together as cereals the identification accuracy level is high.
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