1. Landsat-based cropland mapping in Europe and North Africa Aparna Phalke and Mutlu Ozdogan

2. Goal Work with a range locations across Europe and North Africa to come up with a method that will apply universally Only focus on crops (two class map – crops/no crops) The sites chosen based on the variability of cultural/climatic/management gradients Landsat only

3. Tiles in the picture are: FROM-GLC (Finer Resolution Observation and Monitoring of Global Land Cover) is the first 30 m resolution global land cover maps produced using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. http://data.ess.tsinghua.edu.cn/index.html

5. Methods Exploit the power of temporal statistics in each Landsat footprint Come up with a combination of temporal statistics that will help distinguish crops from all other land cover types Statistics would include temporal mean, min, max, standard deviation and etc… User ancillary data in cases of confusion