Increasing data resources are available for documenting and detecting changes in environmental, ecological, and socioeconomic processes.Currently, data are distributed across a MOSA replacement parts wide variety of sources (e.g.
data silos) and published in a variety of formats, scales, and semantic representations.A key issue, therefore, in building systems that can realize a vision of earth system monitoring remains data integration.Discrete global grid systems (DGGSs) have emerged as a key technology that can provide a common multi-resolution spatial fabric in support of Digital Earth monitoring.
However, DGGSs remain in their infancy with many technical, conceptual, and operational challenges.With renewed interest in DGGS brought on by a recently proposed standard, the demands of big data, and growing needs for monitoring environmental changes across a variety of scales, we seek to highlight current challenges Canine - Food - Raw that we see as central to moving the field(s) and technologies of DGGS forward.For each of the identified challenges, we illustrate the issue and provide a potential solution using a reference DGGS implementation.
Through articulation of these challenges, we hope to identify a clear research agenda, expand the DGGS research footprint, and provide some ideas for moving forward towards a scaleable Digital Earth vision.Addressing such challenges helps the GIScience research community to achieve the real benefits of DGGS and provides DGGS an opportunity to play a role in the next generation of GIS.