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Development of an intelligent environmental knowledge recommendation system for sustainable water resource management using MODIS satellite imagery
conference contribution
posted on 2023-05-23, 07:55 authored by Jagannath Aryal, Dutta, R, Morshed, AWith 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.
History
Publication title
IEEE International Geoscience and Remote Sensing Symposium Proceedings (IGARSS 2013)Pagination
2204-2211ISBN
978-1-4799-1114-1Department/School
School of Geography, Planning and Spatial SciencesPublisher
Conference Management ServicesPlace of publication
AustraliaEvent title
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2013)Event Venue
Melbourne, AustraliaDate of Event (Start Date)
2013-07-21Date of Event (End Date)
2013-07-26Rights statement
Copyright 2013 IEEERepository Status
- Restricted