Abstract

Over the past few decades, there has been an increase in the number of studies about the estimation of phycocyanin derived from remote sensing techniques. Since phycocyanin is a unique pigment of inland water cyanobacteria, the quantification of its concentration from earth observation data is important for water quality monitoring - once some species can produce toxins. Because of the growth of this field in the past decade, several reviews and studies comparing algorithms have been published. Thus, instead of focusing on algorithms comparison or description, the goal of the present study is to systematically analyze and visualize the evolution of publications. Using the Web of Science database this study analyzed the existing publications on remote sensing of phycocyanin decade-by-decade for the period 1991–2020. The bibliometric analysis showed how research topics evolved from measuring pigments to the quantification of optical properties and from laboratory experiments to measuring entire temperate and tropical aquatic systems. This study provides the status quo and development trend of the field and points out what could be the direction for future research.

Highlights

  • Cyanobacteria harmful algal blooms (CHABs), in freshwater systems, have been a major concern for environmental and public health authorities worldwide

  • It was interesting that during this period, Landsat satellite was used even without the spectral band centered at 620 nm which is the spectral band related to the peak of PC absorption. This could be related to the need to monitor medium to small aquatic systems, which are commonly used for water supply. This was observed for the monitoring of other water quality parameters with new satellite sensors with a better spatial resolution such as Sentinel 2/Multispectral Instrument (MSI) which has been used for the monitoring of chl-a and water transparency in several small to medium inland aquatic systems

  • A bibliometric analysis of scientific production was presented based on the Web of Science database for the terms “remote+ sensing+phycocyanin”

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Summary

Introduction

Cyanobacteria harmful algal blooms (CHABs), in freshwater systems, have been a major concern for environmental and public health authorities worldwide. Other environmental effects can be associated with CHABs such as the decomposition of dying blooms which may lead to oxygen depletion (hypoxia and anoxia) for aquatic life [2] These are common environmental health concerns of algal bloom occurrence in inland waters; the main concern is related to the production of toxic secondary metabolites by some species of cyanobacteria known as blue-green (BG) algae. Management of cyanobacteria traditionally focuses on in situ water sampling to monitor cell counts and chlorophyll-a (chl-a) concentration as biomass indicators. These methods are expensive, time-consuming [12], and usually limited in spatial and temporal extents [13]

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