1. U.S. Department of the Interior U.S. Geological Survey Monthly Progress for Africa GCEV2 Jun Xiong, Prasad, Pardha 25 September, 2014

2. Content  Reference bank  Algorithm  Product  Documentation

3. Reference Bank (total: 6091)

4. Histogram of Reference Bank Total: 1130 Total: 4961

5. globCover + VHRI interpretation  globCover subset for Africa (300m)  Generic Clusters map from unsupervised ndvi time series megacube (250m)  Very high resolution images ( from GEE) Small patches removed

6. globCover + VHRI interpretation (conti) GlobCover + Cluster Map + VHRI 1:72, 000 1:20, 000 1:50, 000

7. Independent Refer Dataset for AA  Croplands.org under construction will play a key role in data collection and peer-reviewing  Rhseg post processing + artificial interpretation will provide more points  Even though:  How to distribute new points reasonably in current classification system?  How to make the sampling unbiasedly?  How to integrate reference information from other sources?

8. Structure of Reference Bank *ADPI=algorithm develop; PT=product testing # 1=field data; 2=globCover; 3=university of Ghana ….etc

9. Updated Africa/GCEV2.3  Input Data:  11-year MODIS MYD13 Time-series Dataset  AfrGCEV2-referBank v2.3 (6091 points)  Clustering: 77 million vectors  500 clusters  Identification: 500 clusters  47 groups  Labeling: 47 groups  8 classes  Products: Africa/GCEV2.3 ( 8 classes)

10. Clustering algorithm: MPI-kmeans

11.  Dataset dimension: (39574, 32140, 23), 60GB  Output: 500 clusters  Platform: NEX  nCPUS: 1000  Time: 26 mins Clustering Continental Africa Ex. of Signature Ex. of Cluster

12. 500 clusters  47 groups

13. 500  47  8 generic clusters  groups  classes 500 generic clusters 47 groups 8 classes croplands, rainfed, single 11 10 17 16 233

14. 500  47  8 generic clusters  groups  classes 500 generic clusters 47 groups 8 classes 171025 442….1226…. croplands, rainfed, single ….

15. Africa GCEV2 Products

16. Next Step  More Metrics incorporating (MODIS land bands, elevation)  Independent Accuracy Assessment  Reference points from Rhseg + interpretation  Evaluation and testing of reference dataset  Reference Bank on Croplands.org  Procedure of importing reference information from other sources (research publication, FAO reports and third-party atlas)

17. Documentation – ATBD, Paper Algorithm Theoretical Basis Document (ATBD) for Africa GCEV2 Multi-temporal Analysis of Satellite Data to Automated Global Cropland Mapping: A Case Study in Continental Africa (In Manuscript) Jun Xiong 1,2 *, Prasad Thenkabail 1, Pardhasaradhi Teluguntla 1,3, Justin Poehnelt 2, Kamini Yadav 4 and Cristina Milesi 5 1 Flagstaff Science Center, US Geological Survey, Flagstaff, AZ 86001, USA; E-Mail: jxiong@usgs.gov 2 School of Earth Sciences and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86001, USA 3 Bay Area Environmental Research Institute (BAERI), 596 1st St West Sonoma, CA 95476, USA 4 Department of Natural Resources and the Environment, University of New Hampshire, 56 College 12 Road, Durham, NH 03824, USA 5 NASA Ames Research Center, Naval Air Station, Moffett Field, Mountain View, CA 94035, USA jxiong@usgs.gov