CyanoTRACKER: A cloud-based integrated multi-platform architecture for global observation of cyanobacterial harmful algal blooms-Reference-Cited by-同舟云学术

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CyanoTRACKER: A cloud-based integrated multi-platform architecture for global observation of cyanobacterial harmful algal blooms

Published:2020-06 Issue: Volume:96 Page:101828
ISSN:1568-9883
Container-title:Harmful Algae
language:en
Short-container-title:Harmful Algae

Author:

Mishra Deepak R.,Kumar Abhishek,Ramaswamy Lakshmish,Boddula Vinay K.,Das Moumita C.,Page Benjamin P.,Weber Samuel J.

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Plant Science,Aquatic Science

Reference57 articles.

1. Canine cyanotoxin poisonings in the United States (1920s–2012): review of suspected and confirmed cases from three data sources;Backer;Toxins,2013

2. Comparison of satellite reflectance algorithms for estimating phycocyanin values and cyanobacterial total biovolume in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident surface observations;Beck;Remote Sens.,2017

3. Comparison of satellite reflectance algorithms for estimating turbidity and cyanobacterial concentrations in productive freshwaters using hyperspectral aircraft imagery;Beck;J. Great Lakes Res.,2019

4. Cyber-social-physical Approaches for Effective Detection of Cyanobacterial Blooms;Boddula,2017

5. Harnessing social media for environmental sustainability: a measurement study on harmful algal blooms;Boddula,2015

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2. Effects of Harmful Algal Blooms on Amphibians and Reptiles are Under‐Reported and Under‐Represented;Environmental Toxicology and Chemistry;2024-07-05

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4. Heterogeneity and influencing factors of algal blooms in the reservoir-impacted tributary: Evidence from remote sensing and physical-based model;Journal of Hydrology;2024-05

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