Remote sensing of algal blooms in inland waters using the matrix inversion method and semi empirical algorithms
Edited book (chapter)
Chapter Title | Remote sensing of algal blooms in inland waters using the matrix inversion method and semi empirical algorithms |
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Book Chapter Category | Edited book (chapter) |
ERA Publisher ID | 1624 |
3415 | |
Book Title | Advances in mapping from remote sensor imagery |
Authors | |
Author | Campbell, Glenn |
Editors | Yang, Xiaojun and Li, Jonathon |
Page Range | 279-308 |
Chapter Number | 12 |
Number of Pages | 29 |
Year | 2013 |
Publisher | CRC Press |
Taylor & Francis | |
Place of Publication | Boca Raton, FL. United States |
ISBN | 9781439874585 |
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. |
Keywords | remote sensing; water quality; MERIS |
ANZSRC Field of Research 2020 | 370704. Surface water hydrology |
401304. Photogrammetry and remote sensing | |
410404. Environmental management | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Surveying and Land Information |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1w77/remote-sensing-of-algal-blooms-in-inland-waters-using-the-matrix-inversion-method-and-semi-empirical-algorithms
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