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 …

With the widespread use of mobile and sensing devices, and the popularity of online map-
based services, such as navigation services, the volume of spatio-temporal data is growing …

Smart cities evolve rapidly along with the technical advances in wireless and sensor
networks, information science, and human–computer interactions. Urban computing …

Addresses, one of the most important geographical reference systems in natural languages,
are usually used to search spatial objects in daily life. Geocoding concatenates text with …

Nowadays, several environmental applications take advantage of remote sensing
techniques. A considerable volume of this remote sensing data occurs in near real-time …

Abstract The concept of Big Data become extensively popular for their vast usage in
emerging technologies. Despite being complex and dynamic, big data environment has …

In recent years, the large amount of heterogeneous data generated by the Internet of Things
(IoT) sensors and devices made recording and research tasks much more difficult, and most …

There is no doubt that air pollution harms human health. Municipal areas are the most
affected by the degradation of the air quality by discharging anthropogenic gases from …

When using distributed storage systems to store gridded remote sensing data in large,
distributed clusters, most solutions utilize big table index storage strategies. However, in …

Geospatial three-dimensional (3D) raster data have been widely used for simple
representations and analysis, such as geological models, spatio-temporal satellite data …