This working paper by the International Institute for Environment and Development (IIED) highlights opportunities and limitations for understanding agricultural drivers of deforestation through remote sensing. In this working paper, 14 of the most commonly used land cover data products are identified, with summarised spatial data, temporal and thematic properties, and estimates of forest and cropland area are compared. The limitations to land cover data that result from their divergent predictions are described and the implications for using this data to assess the agricultural drivers of deforestation in Africa are discussed. »