Building SDI bridges for catchment management

Paudyal, Dev Raj and McDougall, Kevin and Apan, Armando (2009) Building SDI bridges for catchment management. In: SDI convergence: research, emerging trends, and critical assessment. Netherlands Geodetic Commission, Delft, The Netherlands, pp. 265-279. ISBN 978-90-6132-310-5

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Abstract

This research paper discusses the importance of spatial data and Spatial Data Infrastructure SDI) for catchment management. It reviews four SDI theories including hierarchical spatial theory, diffusion theory, evolution theory and principal-agent (P-A) theory and discusses their characteristics and potential utilisation for catchment management. As catchment management issues are characterised by multi-level stakeholder participation in SDI implementation, the theory of hierarchy and the P-A theory may assist in exploring in greater depth the context of building SDI at the catchment level. Based upon existing SDI theory, it explores a conceptual framework and its implications for more effective development of catchment-based SDI. The framework which is based upon hierarchical theory, investigates the community-government interaction between various catchment and administrative/political levels for developing SDI. Such a framework is complex and potentially has many levels. Additionally, the crossjurisdictional linkages required to implement this framework within the existing administrative/political SDI framework also need to be carefully examined. The framework is explored through a case study of the Murray-Darling Basin in Australia, one of the world’s largest catchments. The challenges for developing an SDI which effectively supports the decision making within and across this catchment will be discussed and the potential strengths and weakness of the proposed framework identified in the context of this case study.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: The individual articles in this book are made available under a Creative Commons Attribution 3.0 License (http://creativecommons.org/licenses/by/3.0/legalcode). Any use of the text contained in the individual articles in contradiction with the Creative Commons License, Attribution 3.0 requires express permission in writing by the author(s) of the article.
Depositing User: Mr Kevin McDougall
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 30 Jul 2009 05:44
Last Modified: 16 Oct 2014 03:23
Uncontrolled Keywords: spatial data infrastructure; SDI; catchment management; spatial data; natural resource management; SDI theory
Fields of Research (FOR2008): 09 Engineering > 0905 Civil Engineering > 090505 Infrastructure Engineering and Asset Management
12 Built Environment and Design > 1205 Urban and Regional Planning > 120501 Community Planning
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/5400

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