The Landsat derived cropland mask for Tanzania showing agriculture areas in orange (see picture), is a classification product created through Agrisense-Africa. This nation-wide cropland mask at 30 m Landsat resolution was developed using composited Landsat tiles from 2010 to 2013 using decision tree classifier methods. Representative training areas were then collected for agricultural and non agricultural areas using appropriate indices to separate these classes. Validation was done using a random sample and Google Earth ®. This agriculture mask allows analyst to focus on agricultural areas while using GLAM- East Africa NDVI data.
The Landsat derived cropland mask for Tanzania showing agriculture areas in orange.