Design of a big data GIS platform for a near-real-time environmental monitoring system based on GOES-R satellite imagery

Abstract

Geographic Information Systems will gradually tend to incorporate technologies such as Big Data and the Internet of things, so that data can be processed to information towards near real time spatial analysis with unprecedented power and applications. Perhaps one of the most visible obstacles to this is the large amount of data involved. Indeed, the magnitude of stored data which implies its constant acquisition and generation, is rapidly growing to Terabyte systems through to Petabyte systems. By designing a near real time environmental monitoring system based on GOES-R next generation satellite imagery, we show in this paper that current tools actually allow the proper management of such amount of data and enable the integration of a variety of data sources that makes possible the rapid analysis of one of the most voluminous spatial dataset available.