Geospatial big data handling with high performance computing: Current approaches and future directions
Z Li - High Performance Computing for Geospatial …, 2020 - Springer
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 …
inherently spatial, collected with ubiquitous location-aware sensors such as mobile apps …
Cloud enabled SDI architecture: a review
With the advancement of GIS technology since its inception in 1960's, many educational
institutions, government departments, public/private sectors and individuals have started its …
institutions, government departments, public/private sectors and individuals have started its …
GPU-accelerated compression and visualization of large-scale vessel trajectories in maritime IoT industries
Y Huang, Y Li, Z Zhang, RW Liu - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The automatic identification system (AIS), an automatic vessel-tracking system, has been
widely adopted to perform intelligent traffic management and collision avoidance services in …
widely adopted to perform intelligent traffic management and collision avoidance services in …
A survey of digital earth
The creation of a digital representation of the Earth and its associated data is a complex and
difficult task. The incredible size of geospatial data and differences between data sets pose …
difficult task. The incredible size of geospatial data and differences between data sets pose …
DisasterMapper: A CyberGIS framework for disaster management using social media data
Traditional GIS tools and systems are powerful for analyzing geographic information for
various applications but they are not designed for processing dynamic streams of data. This …
various applications but they are not designed for processing dynamic streams of data. This …
A general-purpose framework for parallel processing of large-scale LiDAR data
Light detection and ranging (LiDAR) data are essential for scientific discoveries such as
Earth and ecological sciences, environmental applications, and responding to natural …
Earth and ecological sciences, environmental applications, and responding to natural …
Visualizing and analyzing dynamic meteorological data with virtual globes: A case study of tropical cyclones
P Liu, J Gong, M Yu - Environmental Modelling & Software, 2015 - Elsevier
Visualization is an important component of the evaluation of meteorological models,
forecasting research, and other applications. With advances in computing power, the volume …
forecasting research, and other applications. With advances in computing power, the volume …
Using general-purpose computing on graphics processing units (GPGPU) to accelerate the ordinary kriging algorithm
Spatial interpolation methods have been applied to many disciplines, the ordinary kriging
interpolation being one of the methods most frequently used. However, kriging comprises a …
interpolation being one of the methods most frequently used. However, kriging comprises a …
A universal parallel scheduling approach to polyline and polygon vector data buffer analysis on conventional GIS platforms
With the increasing volume of spatial data, conventional vector data buffer analysis
algorithms cannot meet the demands of fast data processing, so parallel computing is …
algorithms cannot meet the demands of fast data processing, so parallel computing is …
Computationally enabled 4D visualizations facilitate the detection of rock fracture patterns from acoustic emissions
Monitoring and predicting crack propagation in rock using acoustic emission (AE)
technology is integral to a variety of sub-disciplines in the geosciences. The utility of existing …
technology is integral to a variety of sub-disciplines in the geosciences. The utility of existing …