1. A 30-m approach to cropland extent Cristina Milesi Fourth Workshop On Global Food Security-Support Analysis Data @ 30 m (GFSAD30) 6/25/14

2. The Linear Spectral Mixture Model D 6/25/14

3. The Landsat ETM+ Global Mixing Space 100 Environments 100,000,000 spectra 3 dimensions contain > 98% of the variance Small and Milesi, 2013 RSE 6/25/14

4. Validation with Ground Observations 74 ground measurements of Fc 19 seasonal and perennial crops 11 dates between April and October 2008 coincidental with Landsat acquisitions

5. Approach –Multi-season characterization of the landscape through ~4-7 images within 1-2 yrs (peak of growing season, pre-harvest, post- harvest) –Unmixing to SVD (Substrate/Vegetation/Dark) –Standard deviation of seasonal SVD 6/25/14 Multi-seasonal TOA TM/ETM Unmixed multi-seasonal SVD TM/ETM Standard Deviation of Unmixed SVD TM/ETM t1 t2 t3 … tn

6. Main Combinations Cropland: high vegetation/soil variability Fallow: high substrate with low variability (vegetation fraction close to zero) Rangeland: low vegetation and low substrate fractions, low variability Forest, wetlands: high vegetation, high dark fractions, low variability 6/25/14

7. Proof of Concept 6/25/14

8. Cropland Substrate Vegetation 15-Nov-10 17-Dec-10 7-Mar-11 8-Apr-11 13-Jul-11 15-Sep-11 Landsat TM 5 Dates Central Tunisia

9. 6/25/14 Natural Vegetation/Cropland 15-Nov-10 17-Dec-10 7-Mar-11 8-Apr-11 13-Jul-11 15-Sep-11 Landsat TM 5 Dates Central Tunisia Substrate Vegetation

10. 6/24/14 Natural Vegetation/Cropland 15-Nov-10 17-Dec-10 7-Mar-11 8-Apr-11 13-Jul-11 15-Sep-11 Landsat TM 5 Dates Central Tunisia Substrate Vegetation 6/25/14

11. 26-Oct-08 21-May-09 16-Jan-10 5-Mar-10 2-Dec-10 9-Apr-11 10-Jun-13 Cropland Landsat ETM Dates Western Nigeria Substrate Vegetation

12. 6/25/14 26-Oct-08 21-May-09 16-Jan-10 5-Mar-10 2-Dec-10 9-Apr-11 10-Jun-13 Natural Vegetation Landsat ETM Dates Western Nigeria