Editorial: Big Earth Data Intelligence for Environmental Modeling

Web Services for Big Earth Observation data

The aim of geospatial web services is to enable users to share and process geospatial data on the Web, no matter what platform or protocol is used. In this paper, we investigate what are the design decisions needed to implement web services for big Earth observation (EO) data. The focus of the work is discussing what is unique about big EO data and why current standards are unsuitable for big E...

Managing Semantic Big Data for Intelligence

All-source intelligence production involves the collection and analysis of intelligence data provided in various formats (raw data from sensors, imagery, text-based from human reports, etc.) and distributed across heterogeneous data stores. The advance in sensing technologies, the acquisition of new sensors, and use of mobile devices result in the production of an overwhelming amount of sensed ...

Computational Intelligence for Big Social Data Analysis

Visualization System for Earth Environmental Data Base

The earth’s environmental problems have attracted serious attention worldwide. Various kinds of environmental data, such as remote sensing data, have become available for examining. Although this data is crucial to understanding such problems, there has become an over-abundance in variety of size, format, and filetype which makes it difficult for researchers to handle. We feel that earth enviro...

Editorial - Marketing Science and Big Data