A review of remote sensing for water quality retrieval: progress and challenges

H Yang, J Kong, H Hu, Y Du, M Gao, F Chen - Remote Sensing, 2022 - mdpi.com
Water pollution has become one of the most serious issues threatening water environments,
water as a resource and human health. The most urgent and effective measures rely on …

Research trends in the use of remote sensing for inland water quality science: Moving towards multidisciplinary applications

SN Topp, TM Pavelsky, D Jensen, M Simard… - Water, 2020 - mdpi.com
Remote sensing approaches to measuring inland water quality date back nearly 50 years to
the beginning of the satellite era. Over this time span, hundreds of peer-reviewed …

Development of remote sensing algorithm for total phosphorus concentration in eutrophic lakes: Conventional or machine learning?

J Xiong, C Lin, Z Cao, M Hu, K Xue, X Chen, R Ma - Water Research, 2022 - Elsevier
Phosphorus is a limiting nutrient in freshwater ecosystems. Therefore, the estimation of total
phosphorus (TP) concentration in eutrophic water using remote sensing technology is of …

Remote sensing of cyanobacterial blooms in inland waters: present knowledge and future challenges

K Shi, Y Zhang, B Qin, B Zhou - Science Bulletin, 2019 - Elsevier
Timely monitoring, detection and quantification of cyanobacterial blooms are especially
important for controlling public health risks and understanding aquatic ecosystem dynamics …

Long-term MODIS observations of cyanobacterial dynamics in Lake Taihu: Responses to nutrient enrichment and meteorological factors

K Shi, Y Zhang, Y Zhou, X Liu, G Zhu, B Qin, G Gao - Scientific reports, 2017 - nature.com
We developed and validated an empirical model for estimating chlorophyll a concentrations
(Chl a) in Lake Taihu to generate a long-term Chl a and algal bloom area time series from …

Inland reservoir water quality inversion and eutrophication evaluation using BP neural network and remote sensing imagery: a case study of Dashahe reservoir

Y He, Z Gong, Y Zheng, Y Zhang - Water, 2021 - mdpi.com
In this study, an inland reservoir water quality parameters' inversion model was developed
using a back propagation (BP) neural network to conduct reservoir eutrophication …

[HTML][HTML] Water clarity changes in Lake Taihu over 36 years based on Landsat TM and OLI observations

Z Yin, J Li, Y Liu, Y Xie, F Zhang, S Wang, X Sun… - International Journal of …, 2021 - Elsevier
The water quality in Lake Taihu, which is located in the middle of the largest group of cities
on the Yangtze River delta of China, has changed greatly with rapid economic and social …

Estimation of total phosphorus concentration using a water classification method in inland water

C Du, Q Wang, Y Li, H Lyu, L Zhu, Z Zheng… - International journal of …, 2018 - Elsevier
Total phosphorus (TP) is an important factor of eutrophication. The accurate monitoring of TP
concentration is conducive to the management of water environments. To improve the …

Robust remote sensing retrieval of key eutrophication indicators in coastal waters based on explainable machine learning

L Zhu, T Cui, A Runa, X Pan, W Zhao, J Xiang… - ISPRS Journal of …, 2024 - Elsevier
Excessive discharges of nitrogen and phosphorus nutrients lead to eutrophication in coastal
waters. Optical remote sensing retrieval of the key eutrophication indicators, namely …

Inversion and monitoring of the TP concentration in Taihu Lake using the landsat-8 and sentinel-2 images

Y Liang, F Yin, D Xie, L Liu, Y Zhang, T Ashraf - Remote Sensing, 2022 - mdpi.com
Eutrophication is a significant factor that damages the water ecosystem's species balance.
The total phosphorus (TP) concentration is a vital water quality indicator in assessing …