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Development of an intelligent environmental knowledge recommendation system for sustainable water resource management using MODIS satellite imagery

Citation

Aryal, J and Dutta, R and Morshed, A, Development of an intelligent environmental knowledge recommendation system for sustainable water resource management using MODIS satellite imagery, IEEE International Geoscience and Remote Sensing Symposium Proceedings (IGARSS 2013), 21-26 July 2013, Melbourne, Australia, pp. 2204-2211. ISBN 978-1-4799-1114-1 (2013) [Refereed Conference Paper]

Copyright Statement

Copyright 2013 IEEE

DOI: doi:10.1109/IGARSS.2013.6723253

Abstract

With the global availability and accessibility of environmental data sources it is possible to address the water related problems. Locally, in the Australian context, the water industry is in a unique position due to the extremes with a vast experience of drought and flood conditions. Water in Australia is a national priority and there is a need to develop an accurate and timely decision support system regarding efficient and optimal water usage. To address this issue, in this paper, we proposed an integrated environmental knowledge recommendation system based on large scale dynamic web data mining and contextual knowledge integration to provide an expert water resource management solution. We integrated five different environmental data sources namely SILO, AWAP, ASRIS, CosmOz, and MODIS imagery to develop and test the proposed knowledge recommendation framework called intelligent Environmental knowledgebase (i-Ekbase). The developed system was tested for its robustness and applicability.

Item Details

Item Type:Refereed Conference Paper
Keywords:environment, water usage, robustness, knowledge recommendation, machine learning
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Photogrammetry and Remote Sensing
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Environmental Sciences
Author:Aryal, J (Dr Jagannath Aryal)
ID Code:86615
Year Published:2013
Deposited By:Geography and Environmental Studies
Deposited On:2013-10-02
Last Modified:2017-11-18
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