A spatio-temporal ontological model for flood disaster monitoring
Kuldeep Ramchandra Kurte, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Abhishek V. Potnis · 2017
During an extreme event such as flood disaster, it is important to study flood inundation and receding patterns to understand the dynamic spatio-temporal behavior of flood. In addition to the general change detection techniques in RS, a proper conceptualization of `change' during flood disaster is necessary to model its dynamic behavior. This motivated the development of Ontology, which is able to capture the dynamically evolving phenomenon. This Ontology is envisaged as a precursor for developing applications that integrate the spatio-temporal dimensions of a dynamically evolving system such as floods. This paper describes the conceptual framework that was developed to address the same.