Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Red Algae

Red Algae

Red algae, also known as rhodophytes, are primarily found in marine environments, though some species inhabit freshwater and terrestrial ecosystems. These organisms exist in both unicellular and multicellular forms, with some multicellular varieties reaching macroscopic sizes.As phototrophic organisms, red algae contain chlorophyll a; however, their chloroplasts lack chlorophyll b. Instead, they possess phycobiliproteins, which serve as major light-harvesting pigments, similar to those found in...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

[Evaluation of the myocardial protection of trimetazidine during percutaneous coronary intervention: a multi-center randomized and controlled clinical study].

Zhonghua nei ke za zhi·2010

Same author

Mitochondrial transcription factor A (TFAM) polymorphisms and risk of late-onset Alzheimer's disease in Han Chinese.

Brain research·2010

Same author

[Central mechanism of electric-acupuncture at Zusanli (ST36) for gastric mucous membrane protection with FMRI].

Zhonghua yi xue za zhi·2010

Same author

[Clinical application of review criteria for complete blood analysis].

Zhonghua yi xue za zhi·2010

Same author

Rhizosphere characteristics of zinc hyperaccumulator Sedum alfredii involved in zinc accumulation.

Journal of hazardous materials·2010

Same author

Rosmarinic acid antagonized 1-methyl-4-phenylpyridinium (MPP+)-induced neurotoxicity in MES23.5 dopaminergic cells.

International journal of toxicology·2010

Search research articles

Related Experiment Video

Updated: Jun 12, 2026

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

[Quantitative remote sensing retrieval for algae in inland waters].

Yu Song¹, Xiao-Dong Song, Hong Jiang

¹Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China. ysong@iue.ac.cn

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|June 16, 2010

Summary

This study identifies optimal spectral bands for monitoring lake eutrophication using chlorophyll-a. A new remote sensing algorithm successfully maps chlorophyll-a and algae distribution in Taihu Lake.

More Related Videos

Quantification of Heavy Metals and Other Inorganic Contaminants on the Productivity of Microalgae

Quantification of Heavy Metals and Other Inorganic Contaminants on the Productivity of Microalgae

Published on: July 10, 2015

Related Experiment Videos

Last Updated: Jun 12, 2026

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

Quantification of Heavy Metals and Other Inorganic Contaminants on the Productivity of Microalgae

Quantification of Heavy Metals and Other Inorganic Contaminants on the Productivity of Microalgae

Published on: July 10, 2015

Area of Science:

Environmental Science
Remote Sensing
Limnology

Background:

Chlorophyll-a is a key indicator of lake eutrophication.
Real-time monitoring of chlorophyll-a spatial distribution is crucial for water body management.
Hyperspectral remote sensing offers a powerful tool for dynamic ecological assessments.

Purpose of the Study:

To determine the optimal spectral bands for a hyperspectral ratio model of chlorophyll-a.
To develop and apply a remote sensing algorithm for retrieving algae and chlorophyll-a concentrations.
To map the spatial distribution of chlorophyll-a and algae in Taihu Lake.

Main Methods:

Analysis of spectral reflectance and water quality sampling data.
Development of regression models correlating spectral reflectance ratios with chlorophyll-a concentrations.
Utilizing the MODIS green index (GI) for algae retrieval.

Main Results:

The ratio model using wavelengths around 700 nm and 625 nm showed a high coefficient of determination (R2).
Models using 710 nm and increasing visible wavelengths demonstrated decreasing R2 values.
Successful retrieval of algae and spatial distribution mapping of chlorophyll-a in Taihu Lake using MODIS data.

Conclusions:

The optimal spectral bands for chlorophyll-a hyperspectral ratio modeling were identified.
The developed remote sensing algorithm, utilizing the MODIS GI, is effective for monitoring algae and chlorophyll-a.
This approach enables successful spatial mapping of eutrophication indicators in large lake systems.