Estimation of Chlorophyll-a Concentration from Optimizing a Semi-Analytical Algorithm in Productive Inland Waters

Remote Sensing

Fernanda Watanabe¹  Nariane Bernardo¹  Nilton Imai¹  Enner Alcântara²  Thanan Rodrigues³ 

[1] Department of Cartography, Faculty of Sciences and Technology, São Paulo State University (UNESP), Rua Roberto Simonsen 305, Presidente Prudente 19060-900, SP, Brazil;Department of Environmental Engineering, Institute of Science and Technology, São Paulo State University (UNESP), Rodovia Presidente Dutra Km 137.8, São José dos Campos 12247-004, SP, Brazil;Federal Institute of Education, Science and Technology from Pará, Rodovia BR 316, km 61, Castanhal 68740-970, PA, Brazil;

关键词: OLCI Sentinel-3;    productive inland waters;    trophic state;    semi-analytical approach;   

DOI  :  10.3390/rs10020227

来源: DOAJ

【 摘 要 】

The high nutrient concentrations coming from non-point and point pollution have been linked to algae blooms, especially in hydroelectric plant reservoirs, due to higher residence time compared to rivers. The monitoring of algae is important to prevent risk of contamination by toxins in reservoirs used for drinking water supply. In this context, a physical model-based approach was adopted to retrieve chlorophyll-a (chl a) concentration, a photosynthetic pigment found in all phytoplankton species. We assumed that a semi-analytical algorithm parameterized to a eutrophic reservoir could also be applied to other eutrophic reservoirs, at least the specific inherent optical properties (SIOPs) are not similar. The parameterization was carried out based on Ocean and Land Color Instrument (OLCI) bands aboard Sentinel-3 spacecraft. In our study, the semi-analytical approach showed good performance in retrieving chl a content, with a normalized root mean square error (NRMSE) of 18.7%. The findings encourage the use of a unique semi-analytical algorithm in a reservoir cascade, where the impoundments present similar bio-optical status. The good performance of the algorithm indicates that this approach is rather useful in predicting trophic status in reservoirs.

【 授权许可】

Unknown