1. Croplands.org Aiming to release to public in next couple weeks. There will likely be a separation of work space from public space.

2. Work Space

3. Reference Data Structure Cropland – 0: Not Cropland – 1: Cropland Water Source – 0: Unknown – 1: Rainfed – 2: Irrigated Intensity 0: Unknown 1: Single 2: Double 3: Triple 4: Continuous

4. Crop Type Mapping 00 Unknown 01 Wheat 02 Maize (Corn) 03 Rice 04 Barley 05 Soybeans 06 Pulses 07 Cotton 08 Potatoes 09 Alfalfa 10 Sorghum 11 Millet 12 Sunflower 13 Rye 14 Rapeseed or Canola 15 Sugarcane 16 Groundnuts or Peanuts 17 Cassava 18 Sugar Beets 19 Palm 20 Others

5. Reference Data - Spatial Added Fields – Country – Continent – Region Political: Grouping of Countries Or Polygons Based on Other Regions Not Currently Live on Croplands.org – Need to setup server with libgeos

6. Google Earth Engine - Computing Python Linux Box on – http://www.nitrous.io http://www.nitrous.io – Easy to test python scripts – Authentication and required libraries installed

7. Publishing / LP DAAC / Storage Space 10 TB Storage Space (Final Stages) Publishing on LP DAAC (In Progress) GCE V0.1 and GCE V1.0 should be live for public viewing on Google Earth Engine. Link will follow.