Principal Investigator: Inbal Becker-Reshef Co Investigators: Jan Dempewolf, Matthew Hansen Sponsor: USDA - Foreign Agriculture Services Time Period: 2011 to 2015 Researchers: Ahmad Khan Project Description This project builds capacity and promotes agricultural research in satellite-based agricultural monitoring, crop land data layer production and mobile collection of geotagged agricultural field data. UMD will a) build capacity for crop monitoring and forecasting at two Pakistani universities using the Global Agricultural Monitoring System (GLAM) for Pakistan, b) will develop methodologies for satellite-based crop type classification to produce a cropland data layer (CDL) using SPOT and Landsat satellite time series and transfer these capabilities to the universities and the national space agency SUPARCO, c) improve data collection efficiency and data value of agricultural data collected in the field by the crop reporting services through the design and development of a new data collection and archiving system using Android cell phones/tablets (Mobile Agricultural Geotagging Information System, MAGIS). The MAGIS system will geotag the field data automatically and upload it to a central server at the crop reporting service's head office. Related Publications: Khan, A., Hansen, M.C., Potapov, P.V., Adusei, B., Pickens, A., Krylov, A., Stehman, S. (2018) Evaluating Landsat and RapidEye Data for Winter Wheat Mapping and Area Estimation in Punjab, Pakistan. Remote Sensing, 10(4), 489. Khan, A., Hansen, M.C., Potapov, P.V., Stehman, S.V., Chatta, A.A. (2016) Landsat-based wheat mapping in the heterogeneous cropping system of Punjab, Pakistan. International Journal of Remote Sensing, Vol. 37, Issue 6, pp. 1391-1410. Dempewolf, J., Adusei, B., Becker-Reshef, I., Hansen, M., Potapov, P., Khan, A., Barker, B. (2014) Wheat Yield Forecasting for Punjab Province from Vegetation Index Time Series and Historic Crop Statistics. Remote Sensing 2014, 6(10), 9653-9675. Related Projects: Advancing Methods for Global Crop Area Estimation Agricultural Monitoring in Tanazania and Uganda for Food Security Global Cropland Extent The Global Agriculture Monitoring (GLAM) project