U.S. Geological Survey U.S. Department of Interior GFSAD30m Global Cropland Extent Products of Nominal 250 m (GCE V2.0) Updates Pardhasaradhi.

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

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 ( ) to study cropland change dynamics over 15 years

U.S. Geological Survey U.S. Department of Interior Spatial distribution of ACCA derived cropland classes ( )

U.S. Geological Survey U.S. Department of Interior Class distribution of ACCA derived classes ( )

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

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

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

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

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