Earth Observation – Cloud Services, Data Processing and Analysis

Geospatial Data is being produced at a prodigious pace.  Rendering reams of data into a form that can be sold will be a deal maker/breaker.  What is the market size of data, value-added services, information products, and Big Data analytics by vertical, region, and resolution?  Which markets are drawing high resolution SAR imagery users? In what ways can the same data be sold to different customers.

Numerous large-area, multiple image-based possibilities exist and small satellites are ideally suited to provide fast accurate data on an almost real time basis. The objective of this workshop is to review and assess general spatial resolution earth observation and remote sensing and to cover the processing of the subsequent masses of data.   There will be discussion on the latest in change detection algorithms and how to manipulate data from smallsats and other big data sources with “Artificial Intelligence” and “Machine Learning”.    The goal is to also identify the best processing techniques that are available and are in current use in order to derive actionable insights for decision clarity..

The focus is on how data is received, then improved in post-processing to produce meaningful information.  The world’s resources are becoming more valuable as populations grow, and hence there is a need for timely and accurate information about the type, quantity, and extent of available resources worldwide. Allocating and managing the world’s resources requires accurate knowledge about the distribution of these resources. To effectively plan farming, mining, roads, emergency response, weather prediction, improve the habitat of all species and plan future cities amongst other needs we need to have accurate geographic information systems (GIS).