Optimizing Remotely Sensed Solutions for Monitoring, Modeling, and Managing Coastal Environments

S R Phinn; C H Menges; Greg J E Hill; M Stanford

doi:10.1016/S0034-4257(00)00087-0

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Optimizing Remotely Sensed Solutions for Monitoring, Modeling, and Managing Coastal Environments

Journal article

Peer reviewed

Optimizing Remotely Sensed Solutions for Monitoring, Modeling, and Managing Coastal Environments

S R Phinn, C H Menges, Greg J E Hill and M Stanford

Remote Sensing of Environment, Vol.73(2), pp.117-132

2000

DOI: https://doi.org/10.1016/S0034-4257(00)00087-0

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Abstract

Geomatic Engineering

Physical Geography and Environmental Geoscience

remote sensing

coastal management

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.

Details

Title: Optimizing Remotely Sensed Solutions for Monitoring, Modeling, and Managing Coastal Environments
Authors: S R Phinn (Author) - University of Queensland
C H Menges (Author) - Charles Darwin University
Greg J E Hill (Author) - University of the Sunshine Coast
M Stanford (Author) - University of Queensland
Publication details: Remote Sensing of Environment, Vol.73(2), pp.117-132
Publisher: Elsevier Inc.
Date published: 2000
DOI: 10.1016/S0034-4257(00)00087-0
ISSN: 0034-4257
Organisation Unit: University of the Sunshine Coast, Queensland; Office of the Vice-Chancellor and President
Language: English
Record Identifier: 99448614002621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Environmental Sciences; Imaging Science & Photographic Technology; Remote Sensing

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Source: InCites