1. U.S. Geological Survey U.S. Department of Interior GFSAD30m Global Cropland Extent Products of Australia @ Nominal 250 m (GCE V2.0) Updates Pardhasaradhi Teluguntla and Prasad Thenkabail 23 rd April, 2015

2. GFSAD 250m Cropland Products of Australia Automated Cropland Classification Algorithm (ACCA) U.S. Geological Survey U.S. Department of Interior  Based on Ideal spectral signatures, developed Automated Cropland Classification Algorithm (ACCA) for each of 3 cropland masks of Australia.  Validated ACCA-2014 results with SMT-2014 results  Applied ACCA year to year (2000-2014) to study cropland change dynamics over 15 years

3. U.S. Geological Survey U.S. Department of Interior Spatial distribution of ACCA derived cropland classes (2000-2014) 2000 2001 2002 2003 2004 2005 2006 2007 20082009 2010 2011 2012 2013 2014

4. U.S. Geological Survey U.S. Department of Interior Class distribution of ACCA derived classes (2000-2014)

5. U.S. Geological Survey U.S. Department of Interior Comparison of areas of ACCA derived classes with Rainfall and FAO statistics ( 2000-2014) Changes in cropland fallow areas during drought and good years

6. U.S. Geological Survey U.S. Department of Interior Comparison of areas of ACCA derived classes with Rainfall and FAO statistics ( 2000-2014) Trend of (croplands + pastures)

7. U.S. Geological Survey U.S. Department of Interior Comparison of NDVI mean signature of rainfed cropland class during drought and good years

8. U.S. Geological Survey U.S. Department of Interior Work in Progress: Cropland change dynamics (2000-2014)  Sub pixel area calculations  Accuracy assessment with Other available sources

9. U.S. Geological Survey U.S. Department of Interior