Along with other statistics, FAOSTAT provides the cropland area for all countries (in 1000 ha). These estimates were used by many scholars to assess their cropland maps' quality (the closer of the reality). As far as I know, the area provided by FAOSTATS is gathered from official statistics (from the national organizations) or FAO offices.
So, my question is "can we extend the use of such estimates to the quantitative assessment of cropland maps derived from remote sensing?"
In other words, can we use these estimates to direct our classification approach to get an area closer to FAO estimates?
I think you can do that based on land use land cover (LULC) changes for estimating the cropland areas from satellite images. Then compare between the results obtained with FAOSTATS source.
I would say, you can use and believe on FAOSTAT. I think your idea is right and you classify crop land area closer to FAO estimates.
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