In a variety of applications relying on geospatial data, getting insights into heterogeneous
geodata sources is crucial for decision making, but often challenging. The reason is that it …

A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water
Resources, Disasters, and Urban Studies documents the scientific and methodological …

Quantifying traffic congestion is a critical task for transportation planning and research.
Numerous metrics have been developed, mainly focusing on changes in vehicle speeds …

Earth observation (EO) systems play a significant role in environmental monitoring and the
prediction of natural disasters. These systems generate a massive amount of heterogeneous …

The popularity of e-commerce is increasing day-by-day. In order to provide a seamless
experience and tailored offer for the customers, the knowledge of their preferences and …

Multi-source observed data are generally characterized by their syntactic, structural and
semantic heterogeneities. A key challenge is the semantic interoperability of these data. In …

This paper presents a generic approach to integrate environmental sensor data efficiently,
allowing the detection of relevant situations and events in near real-time through continuous …

In the Internet of Things (IoT) domain, various heterogeneous ubiquitous devices would be
able to connect and communicate with each other seamlessly, irrespective of the domain …

The increasing volume of data generated by earth observation programs such as
Copernicus, NOAA, and NASA Earth Data, is overwhelming. Although these programs are …

The wide use of various sensors makes real‐time data acquisition possible. A new
spatiotemporal data model, the Event‐driven Spatiotemporal Data Model (E‐ST), is …