Remotely sensed imagery is central to thousands of businesses around the globe, and while collections of imagery grow, it has become especially challenging to store and manage image files on local databases. In the case of Skytec, a geospatial and remote sensing startup, it serves myriad industries by acquiring and analyzing imagery data to inform executives on conditions related to major projects, service areas, or assets. It’s not hard to imagine how rapidly Skytec’s imagery collection is growing. As such, it requires more data storage options, efficient cataloging tools, a fast and straightforward workflow, and the ability to seamlessly share data with customers and across its organization.
In a recent casestudy, Esri discussed how Skytec uses unmanned aerial systems, remote sensing, and geographic information system (GIS) technology to support close monitoring of changes occurring in land, water, and wildlife. The company’s Ranger application, which leverages imagery and analytics, reveals significant changes to high priority areas; but the process for collecting this information was becoming time-consuming and strained Skytec’s limited resources. Due to the vast amounts of imagery used by the application, as well as the impact its data has on its customers’ businesses, Skytec’s team began looking for a better way to manage, store, analyze, and share that imagery. Being a small team of environmental scientists, the last thing it wanted was to worry about standing up infrastructure to host and share imagery. The team wanted something easy to deploy, scalable for growing demand, and cloud based.