Abstract The Internet of Things (IoT) paradigm represents networks of objects that, without
requiring human action, sense and interact with the environment, collect data, and transmit …

Abstract Spatial Data Infrastructure (SDI) is an important framework for sharing geospatial
big data using the web. Integration of SDI with cloud computing led to emergence of Cloud …

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 …

Accurate and reliable forestry data can be obtained by means of continuous monitoring of
forests using advanced technologies, which provides a major opportunity for the …

The arising Internet of Things (IoT) will require significant changes to current stream
processing engines (SPEs) to enable large-scale IoT applications. In this paper, we present …

Scalable spatial query processing relies on effective spatial data partitioning for query
parallelization, data pruning, and load balancing. These are often challenged by the intrinsic …

Much effort has been devoted to support high performance spatial queries on large volumes
of spatial data in distributed spatial computing systems, especially in the MapReduce …

The recent explosion in the amount of spatial data calls for specialized systems to handle
big spatial data. In this survey, we summarize the state-of-the-art work in the area of big …

In this digitalised world where every information is stored, the data a are growing
exponentially. It is estimated that data are doubles itself every two years. Geospatial data are …

As a result of Earth observation (EO) entering the era of big data, a significant challenge
relating to by the storage, analysis, and visualization of a massive amount of remote sensing …