Remote sensing of algal blooms in inland waters using the matrix inversion method and semi empirical algorithms

Campbell, Glenn (2013) Remote sensing of algal blooms in inland waters using the matrix inversion method and semi empirical algorithms. In: Advances in mapping from remote sensor imagery. Taylor & Francis (CRC Press), Boca Raton, FL. United States, pp. 279-308. ISBN 978-1-4398-7458-5

Abstract

Water resource managers have the responsibility to deliver water of sufficient quality to urban, agricultural and industrial users as well as maintaining the recreational and ecological amenity of the inland water bodies under their control. Remote sensing is a useful tool to allow managers to monitor the quality of water economically.

This chapter gives an overview of methods used to retrieve the chlorophyll a concentration in inland waters. It utilizes in situ radiometric observations and MERIS images of a tropical inland water impoundment, Burdekin Falls Dam, Australia in a case study of the performance of a semi analytical and four semi empirical algorithms. It finds that all the semi empirical algorithms could be successfully applied to in situ radiometric observations, but two fail when applied to simulated MERIS bands and MERIS images. The other two semi empirical approaches were successfully applied to the one MERIS image but failed when applied to another MERIS image. Although the semi-analytical approach resulted in a less accurate retrieval of chlorophyll a from the first image it managed to successfully invert both images successfully. The case study highlights the need to consider the implicit and explicit assumptions of any approach when applying it to a new environment.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright 2013 Taylor & Francis Group. Permanent restricted access to published version due to publisher copyright policy.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 08 Apr 2013 23:05
Last Modified: 26 Apr 2017 04:14
Uncontrolled Keywords: remote sensing; water quality; MERIS
Fields of Research : 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040608 Surfacewater Hydrology
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
05 Environmental Sciences > 0502 Environmental Science and Management > 050206 Environmental Monitoring
Socio-Economic Objective: D Environment > 96 Environment > 9611 Physical and Chemical Conditions of Water > 961103 Physical and Chemical Conditions of Water in Fresh, Ground and Surface Water Environments (excl. Urban and Industrial Use)
URI: http://eprints.usq.edu.au/id/eprint/22947

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