Recent evolutions in computing science and web technology provide the environmental
community with continuously expanding resources for data collection and analysis that pose …

Today's interconnected socio-economic and environmental challenges require the
combination and reuse of existing integrated modelling solutions. This paper contributes to …

Geospatial web services (GWSs) assist scientists develo** models online. Cloud
computing technologies have created opportunities for faster and more efficient …

Environmental information infrastructure benefits from mainstream information technologies
including workflow and service technologies. These technologies allow distributed …

It is of great importance and an urgent demand to enable operational and near real-time
monitoring and analysis of global agricultural drought at desirable spatial and temporal …

The proliferation of geospatial data from diverse sources, such as Earth observation
satellites, social media, and unmanned aerial vehicles (UAVs), has created a pressing …

Data provenance, also called data lineage, records the derivation history of a data product.
In the earth science domain, geospatial data provenance is important because it plays a …

Today environmental scientists heavily rely on geospatial web services (GWS). However,
many online facilities are under-utilized by the environmental modelling community because …

Remote sensing imagery has been commonly used by intelligence analysts to discover
geospatial features, including complex ones. The overwhelming volume of routine image …

Abstract An Agent-as-a-Service (AaaS)-based geospatial service aggregation is proposed to
build a more efficient, robust and intelligent geospatial service system in the Cloud for flood …