Assessing the effectiveness of Landsat 8 chlorophyll a retrieval algorithms for regional freshwater monitoring

Ecological Applications : a Publication of the Ecological Society of America
Jonah BoucherBethel Steele

Abstract

Predicting algal blooms has become a priority for scientists, municipalities, businesses, and citizens. Remote sensing offers solutions to the spatial and temporal challenges facing existing lake research and monitoring programs that rely primarily on high-investment, in situ measurements. Techniques to remotely measure chlorophyll a (chl a) as a proxy for algal biomass have been limited to specific large water bodies in particular seasons and narrow chl a ranges. Thus, a first step toward prediction of algal blooms is generating regionally robust algorithms using in situ and remote sensing data. This study explores the relationship between in-lake measured chl a data from Maine and New Hampshire, USA lakes and remotely sensed chl a retrieval algorithm outputs. Landsat 8 images were obtained and then processed after required atmospheric and radiometric corrections. Six previously developed algorithms were tested on a regional scale on 11 scenes from 2013 to 2015 covering 192 lakes. The best performing algorithm across data from both states had a 0.16 correlation coefficient (R2 ) and P ≤ 0.05 when Landsat 8 images within 5 d, and improved to R2 of 0.25 when data from Maine only were used. The strength of the correlation varied ...Continue Reading

References

Oct 24, 2006·Environmental Monitoring and Assessment·Hongtao DuanZongming Wang
Jun 3, 2011·The Science of the Total Environment·Mariano BrescianiClaudia Giardino
Sep 1, 2015·International Journal of Environmental Research and Public Health·Fernanda Sayuri Yoshino WatanabeLuiz Henrique da Silva Rotta
Feb 26, 2016·Environmental Science & Technology·John L StoddardAmina I Pollard

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Citations

Dec 30, 2020·Marine Pollution Bulletin·Milica StankovicAnchana Prathep
Apr 21, 2021·Proceedings of the National Academy of Sciences of the United States of America·Catherine Kuhn, David Butman
Jun 10, 2021·Environmental Science and Pollution Research International·Jaydip Dey, Ritesh Vijay

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