A Datacube Approach to Agro-Geoinformatics

摘要

Agricultural maps produced from earth observation data are useful at several stages in the agricultural value chain and allow farmers to make rational and comprehensive decisions when planning, planting and growing new crops. Towards this direction, a platform for the online, real-time analysis of big earth observation data for precision agriculture applications has been designed and implemented. This platform currently provides services like vegetation detection, calculation of standard vegetation indices, canopy greenness estimation, land surface temperature estimation and time-series analytics. The service interface utilizes the OGC Web Coverage Processing Service (WCPS) standard which establishes analytics on spatiotemporal datacubes. Implementation of the service is based on the open-source scalable array engine, rasdaman.