Campbell, Glenn 
ORCID: https://orcid.org/0000-0002-4249-2512
(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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