@inproceedings{a207faa53ce44a25bb9228c5f75c3f6f,
title = "A spatio-temporal ontological model for flood disaster monitoring",
abstract = "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.",
keywords = "4D-fluent, Ontology, Spatio-Temporal",
author = "Kurte, {Kuldeep R.} and Durbha, {Surya S.} and King, {Roger L.} and Younan, {Nicolas H.} and Potnis, {Abhishek V.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",
year = "2017",
month = dec,
day = "1",
doi = "10.1109/IGARSS.2017.8128176",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5213--5216",
booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium",
}
