On-demand aggregation of gridded data over user-specified spatio-temporal domains
Joel E. Tosado, Gheorghi Guzun, Guadalupe M. Canahuate, Ricardo I. Mantilla · 2016
The advent of satellite imagery, remote sensing products, and global scale numerical climate models over the last two decades has created an explosion of available gridded environmental data. These space-time explicit datasets are produced and distributed using different spatial and temporal resolutions. Current approaches for comparing two different products generally involve offline pre-computation of aggregations to a common spatio-temporal resolution. This limits the user's ability to interactively compare different data products or transform data products into the required input resolution for modeling.