This document summarizes several projects and studies utilizing WaPOR (Water Productivity through Open access of Remotely sensed imagery) data. It describes how WaPOR data was used to analyze crop water productivity and identify water saving opportunities in an irrigation scheme in Kenya. It also discusses how WaPOR data was used to train a spatial crop model to improve sugarcane yield predictions in Ethiopia. Finally, it provides information on accessing WaPOR data and tools, available training courses, and new developments like downscaling WaPOR evapotranspiration data to higher resolutions and a QGIS plugin for WaPOR calculations.