Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …

Great strides have been made in Geographic Information Systems (GIS) research over the
past half-century. However, this progress has created both opportunities and challenges …

Big Data has emerged with new opportunities for research, development, innovation and
business. It is characterized by the so-called four Vs: volume, velocity, veracity and variety …

Every year, natural disasters cause major loss of human life, damage to infrastructure and
significant economic impact on the areas involved. Geospatial Scientists aim to help in …

Big Earth data are produced from satellite observations, Internet-of-Things, model
simulations, and other sources. The data embed unprecedented insights and spatiotemporal …

Cloud computing enables performing computations and analysis tasks and sharing services
in web-based computer centres instead of local desktop systems. One of the most used …

Social media streams and remote sensing data have emerged as new sources for tracking
disaster events, and assessing their damages. Previous studies focus on a case-by-case …

Geospatial big data plays a major role in the era of big data, as most data today are
inherently spatial, collected with ubiquitous location-aware sensors such as mobile apps …

Big data emerged as a new paradigm to provide unprecedented content and value for
Digital Earth. Big Earth data are increasing tremendously with growing heterogeneity …

Geoscience observations and model simulations are generating vast amounts of multi-
dimensional data. Effectively analyzing these data are essential for geoscience studies …