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Optimising Remotely Sensed Solutions for Monitoring, Modelling and Managing Coastal Environments

Phinn, Stuart R., Menges, Carl Heinz, Hill, Gregory James E. and Stanford, M. (2000). Optimising Remotely Sensed Solutions for Monitoring, Modelling and Managing Coastal Environments. Remote Sensing of Environment,73(2):117-132.

Document type: Journal Article
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Title Optimising Remotely Sensed Solutions for Monitoring, Modelling and Managing Coastal Environments
Author Phinn, Stuart R.
Menges, Carl Heinz
Hill, Gregory James E.
Stanford, M.
Journal Name Remote Sensing of Environment
Publication Date 2000
Volume Number 73
Issue Number 2
ISSN 0034 4257   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-0034255322
Start Page 117
End Page 132
Total Pages 16
Place of Publication New York, USA
Publisher Elsevier Science
HERDC Category C1 - Journal Article (DEST)
Abstract When faced with developing, testing, and delivering a remote sensing system or product that is “optimal” for a specific coastal environment and monitoring or modeling problem, an objective and replicable framework to guide these operations is essential. A framework has been developed for coastal environments, combining concepts from remote sensing and landscape ecology to provide remotely sensed data users with an objective basis for selecting “optimal” data sets and processing techniques. The framework was applied to case studies in: coastal wetlands of southern California; coastal wet-dry tropical wetlands in Northern Territory, Australia; and a rapidly urbanizing coastal catchment in southeast Queensland, Australia. Results established for each case study demonstrated that the framework functioned effectively in different coastal environments and provided more accurate results than ad hoc solutions.
DOI http://dx.doi.org/10.1016/S0034-4257(00)00087-0   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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