Remote sensing of the water quality of shallow lakes: A mixture modelling approach to quantifying phytoplankton in water characterized by high‐suspended sediment-Reference-Cited by-同舟云学术

Remote sensing of the water quality of shallow lakes: A mixture modelling approach to quantifying phytoplankton in water characterized by high‐suspended sediment

Published:2006-04 Issue:8 Volume:27 Page:1521-1537
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Tyler A. N.¹,Svab E.¹,Preston T.²,Présing M.³,Kovács W. A.³

Affiliation:

1. a School of Biological and Environmental Sciences , University of Stirling , Stirling, FK9 4LA, UK

2. b Isotope Biochemistry Laboratory , Scottish Universities Environmental Research Centre , Rankine Avenue , Scottish Enterprise Technology Park , East Kilbride, G75 0QF, UK

3. c Balaton Limnological Research Institute of the Hungarian Academy of Sciences , Tihany, POB 35, H‐8237, Hungary

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160500419311

Reference33 articles.

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4. Comparison of global chlorophyll climatologies: In situ, CZCS, Blended in situ -CZCS and SeaWiFS

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