Water quality hotspot identification using a remote sensing and machine learning approach: A case study of the River Ganga near Varanasi

Author:

Mishra Anurag,Ohri Anurag,Kumar Singh Prabhat,Gaur Shishir,Bhattacharjee Rajarshi

Funder

Horizon 2020

Government of India Department of Biotechnology

Publisher

Elsevier BV

Reference69 articles.

1. Ammenberg, P. et al. (2002) ‘Bio-optical modelling combined with remote sensing to assess water quality’, International Journal of Remote Sensing, 23(8), pp. 1621–1638. Available at: doi: 10.1080/01431160110071860.

2. ‘GIS and Artificial Neural Network-Based Water Quality Model for a Stream Network in the Upper Green River Basin, Kentucky, USA’, Journal of Environmental Engineering, 141(5);Anmala;Available at:,2015

3. ‘Monitoring water quality of Valle de Bravo reservoir, Mexico, using entire lifespan of meris data and machine learning approaches’, Remote Sensing, 12(10);Arias-Rodriguez;Available at:,2020

4. Bhateria, R. and Jain, D. (2016) ‘Water quality assessment of lake water: a review’, Sustainable Water Resources Management, 2(2), pp. 161–173. Available at: doi: 10.1007/s40899-015-0014-7.

5. ‘Analysis of algal bloom intensification in mid-Ganga river, India, using satellite data and neural network techniques’, Environmental Monitoring and Assessment, 194(8);Bhattacharjee;Available at:,2022

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