Water quality assessment using Sentinel-2 imagery with estimates of chlorophyll a, Secchi disk depth, and Cyanobacteria cell number: the Cantareira System reservoirs (São Paulo, Brazil)

2021 ◽  
Author(s):  
Marcelo Pompêo ◽  
Viviane Moschini-Carlos ◽  
Marisa Dantas Bitencourt ◽  
Xavier Sòria-Perpinyà ◽  
Eduardo Vicente ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Chlorophyll A ◽  
Water Quality Assessment ◽  
Cell Number ◽  
Sao Paulo ◽  
São Paulo ◽  
Secchi Disk ◽  
Secchi Disk Depth ◽  
Sentinel 2

Water quality assessment using satellite-derived chlorophyll-a within the European directives, in the southeastern Bay of Biscay

2012 ◽  
Vol 64 (4) ◽  
pp. 739-750 ◽  
Author(s):  
S. Novoa ◽  
G. Chust ◽  
Y. Sagarminaga ◽  
M. Revilla ◽  
A. Borja ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Chlorophyll A ◽  
Water Quality Assessment ◽  
Bay Of Biscay ◽  
European Directives

Water quality assessment in a wetland complex using Sentinel 2 satellite images

2020 ◽  
Author(s):  
F. Torres-Bejarano ◽  
F. Arteaga-Hernández ◽  
D. Rodríguez-Ibarra ◽  
D. Mejía-Ávila ◽  
L. C. González-Márquez
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Satellite Images ◽  
Water Quality Assessment ◽  
Wetland Complex ◽  
Sentinel 2

scholarly journals Mapping chlorophyll-a concentrations in a cyanobacteria- and algae-impacted Vaal Dam using Landsat 8 OLI data

2018 ◽  
Vol 114 (9/10) ◽  
Author(s):  
Oupa E. Malahlela ◽  
Thando Oliphant ◽  
Lesiba T. Tsoeleng ◽  
Paidamwoyo Mhangara
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Chlorophyll A ◽  
Water Quality Assessment ◽  
Water Bodies ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Inland Water ◽  
Chl A ◽  
Vaal Dam

Mapping chlorophyll-a (chl-a) is crucial for water quality management in turbid and productive case II water bodies, which are largely influenced by suspended sediment and phytoplankton. Recent developments in remote sensing technology offer new avenues for water quality assessment and chl-a detection for inland water bodies. In this study, the red to near-infrared (NIR-red) bands were tested for the Vaal Dam in South Africa to classify chl-a concentrations using Landsat 8 Operational Land Imager (OLI) data for 2014–2016 by means of stepwise logistic regression (SLR). The moderate-resolution imaging spectroradiometer (MODIS) data were also used for validating chl-a concentration classes. The chl-a concentrations were classified into low and high concentrations. The SLR applied on 2014 images yielded an overall accuracy of 80% and kappa coefficient (κ) of 0.74 on April 2014 data, while an overall accuracy of 65% and κ=0.30 were obtained for the May 2015 Landsat data. There was a significant (p less than 0.05) negative correlation between chl-a classes and red band in all analyses, while the NIR band showed a positive correlation (0.0001; p less than 0.89) for April 2014 data set. The 2015 image classification yielded an overall accuracy of 83% and κ=0.43. The difference vegetation index showed a significant (p less than 0.003) positive correlation with chl-a concentrations for May 2015 and July 2016, with chl-a ranges of between 2.5 μg/L and 1219 μg/L. These correlations show that a class increase in chl-a (from low to high) is in response to an increase in greenness within the Vaal Dam. We have demonstrated the applicability of Landsat 8 OLI data for inland water quality assessment.

Surface Water Quality Assessment for the Suitability of Drinking and Domestic Purposes in West Bokaro Coalfield, India

2015 ◽  
Vol 35 ◽  
pp. 13-16
Author(s):  
Kumar Tiwari Tiwari ◽  
Marina De Maio ◽  
Kumar Singh Singh ◽  
Gianpiero Amanzio ◽  
Muriel Lavy
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Assessment ◽  
Surface Water Quality ◽  
Water Quality Assessment ◽  
West Bokaro Coalfield

Surface Water Quality Assessment. Case Study: Târnava Mare River, Mediaș Town-Romania

2011 ◽  
Vol 4 (5) ◽  
pp. 70-72
Author(s):  
Cristina Roşu ◽  
◽  
Ioana Piştea ◽  
Carmen Roba ◽  
Mihaela Mihu ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Assessment ◽  
Surface Water Quality ◽  
Water Quality Assessment

Modern State of Zooplankton and Water Quality Assessment in the Selenga River

2009 ◽  
Vol 45 (5) ◽  
pp. 3-14
Author(s):  
N. G. Sheveleva ◽  
I. V. Arov ◽  
Ye. A. Misharina
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Modern State ◽  
Selenga River

Water Quality Assessment in the Selenga River and Its Delta in terms of Sanitary and Microbiological Indices

2017 ◽  
Vol 53 (3) ◽  
pp. 70-81
Author(s):  
M. Yu. Suslova ◽  
O. S. Pestunova ◽  
V. V. Parfenova
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Selenga River

Water Quality Assessment in and Around Sandur Taluk, Bellary District, South India

2016 ◽  
Vol 5 (1) ◽  
pp. 325-332
Author(s):  
B.V. Suresh Kumar ◽  
◽  
R.K. Sunil Kumar ◽  
K.N. Prakash Narasimha ◽  
◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
South India ◽  
Water Quality Assessment
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