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

Edited book (chapter)

Campbell, Glenn. 2013. "Remote sensing of algal blooms in inland waters using the matrix inversion method and semi empirical algorithms." Yang, Xiaojun and Li, Jonathon (ed.) Advances in mapping from remote sensor imagery. Boca Raton, FL. United States. CRC Press. pp. 279-308
Chapter Title

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

Book Chapter CategoryEdited book (chapter)
ERA Publisher ID1624
3415
Book TitleAdvances in mapping from remote sensor imagery
Authors
AuthorCampbell, Glenn
EditorsYang, Xiaojun and Li, Jonathon
Page Range279-308
Chapter Number12
Number of Pages29
Year2013
PublisherCRC Press
Taylor & Francis
Place of PublicationBoca Raton, FL. United States
ISBN9781439874585
Web Address (URL)https://www.crcpress.com/Advances-in-Mapping-from-Remote-Sensor-Imagery-Techniques-and-Applications/Yang-Li/p/book/9781439874585
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.

Keywordsremote sensing; water quality; MERIS
ANZSRC Field of Research 2020370704. Surface water hydrology
401304. Photogrammetry and remote sensing
410404. Environmental management
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Byline AffiliationsSurveying and Land Information
Institution of OriginUniversity of Southern Queensland
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