University Of Tasmania
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Land cover class extraction in GEOBIA using environmental spatial temporal ontology

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conference contribution
posted on 2023-05-23, 09:02 authored by Jagannath Aryal, Morshed, A, Dutta, R
Very high spatial resolution (VHSR) remote sensing imaging brings challenges and opportunities to intelligent autonomous interpretation of spatial data due to detailed information available in such images. Accurate extraction of information relies on expert knowledge which can be represented by an Ontology. Within the Geographic Object-Based Image Analysis (GEOBIA) framework, Ontological implementation is recently been started which has created different avenues of novel applications. In this paper, we have developed an Environmental Spatio-temporal Ontology (ESTO), using five different publicly available environmental data sources namely SILO, AWAP, ASRIS, CosmOz, and MODIS, where knowledge was integrated and captured in multiple-scales using resource description framework (RDF). RDF representation made the ESTO very effective way to publish on Linked Open Data Cloud (LOD) environment. ESTO and the RDF adaptation helped for the human-computer interaction with spatial data whereas an automated approach for object interpretation has also been developed. Our Ontological approach integrates thematic with the spatial semantics for the GEOBIA framework. This study tested a WorldView-2 imagery of Hobart, Tasmania, Australia in depicting land cover classes and effectiveness of ESTO for GEOBIA framework.


Publication title

South-Eastern European Journal of Earth Observation and Geomatics Special Issue


I Gitas, G Mallinis, P Patias, D Stathakis, G Zalidis






School of Geography, Planning and Spatial Sciences


A.U.Th Library and Information Centre

Place of publication


Event title

5th Geographic Object-Based Image Analysis Conference

Event Venue

Thessaloniki, Greece

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2014 the Author. Licenced under Creative Commons Attribution-NonCommercial-Sharealike 4.0 International(CC BY-NC-SA 4.0)

Repository Status

  • Open

Socio-economic Objectives

Terrestrial biodiversity

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    University Of Tasmania