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 …

Big data and geographic information systems (GIS) are two technologies that have
increasingly influenced many areas in the last 10 years and will continue to improve and …

Through research and analysis of the existing remote sensing image sharing and
distribution systems, remote sensing image recommendation mode can be divided into …

The volume, variety, and velocity of different data, eg, simulation data, observation data, and
social media data, are growing ever faster, posing grand challenges for data discovery. An …

Geospatial data sharing is an inevitable requirement for scientific and technological
innovation and economic and social development decisions in the era of big data. With the …

Finding geospatial data has been a big challenge regarding the data size and heterogeneity
across various domains. Previous work has explored using machine learning to improve …

The increasing availability of open government datasets on the Web calls for ways to enable
their efficient access and searching. There is however an overall lack of understanding …

Geospatial data discovery has been a challenging problem due to the exponential growth of
their volume and diversity across numerous fields. Such demand is faced by the …

For science to reliably support new discoveries, its results must be reproducible. Assessing
reproducibility is a challenge in many fields—including the geosciences—that rely on …

An Integrated Science Data Analytics Platform is an environment that enables the
confluence of resources for scientific investigation. It harmonizes data, tools and …