In the era of big data, the explosive growth of Earth observation data and the rapid
advancement in cloud computing technology make the global-oriented spatiotemporal data …

The continuous growth of available geospatial data requires new methods for its integration,
analysis, and visualization to be explored and implemented in software available to the …

As the foundation of the next-generation Digital Earth, Discrete Global Grid Systems (DGGS)
have demonstrated both theoretical and practical development, with a variety of state-of-the …

Increasing data resources are available for documenting and detecting changes in
environmental, ecological, and socioeconomic processes. Currently, data are distributed …

Discrete global grid systems (DGGS) have been proposed as a data model for a digital earth
framework. We introduce a new data model and analytics system called IDEAS–integrated …

Hexagonal discrete global grid systems are multi-resolution frameworks for earth data and
have attracted much attention in research towards the next generation of geographic …

Precision agriculture hinges on accurate soil condition data obtained through soil testing
across the field, which is a foundational step for subsequent processes. Soil testing is …

Discrete global grid systems (DGGS), which provide the reference framework for next-
generation Digital Earth, recursively divide the Earth's surface into discrete multi-resolution …

Terrestrial photographic imagery combined with structure-from-motion (SfM) provides a
relatively easy-to-implement method for monitoring environmental systems, even in remote …

Although we live in an era of unprecedented quantities and access to data, deriving
actionable information from raw data is a hard problem. Earth observation systems (EOS) …