Meta-Analysis of Satellite Observations for United Nations Sustainable Development Goals: Exploring the Potential of Machine Learning for Water Quality Monitoring

SS Mukonza, JL Chiang - Environments, 2023 - mdpi.com
This review paper adopts bibliometric and meta-analysis approaches to explore the
application of supervised machine learning regression models in satellite-based water …

Monitoring water quality using proximal remote sensing technology

X Sun, Y Zhang, K Shi, Y Zhang, N Li, W Wang… - Science of the Total …, 2022 - Elsevier
Accurate, high spatial and temporal resolution water quality monitoring in inland waters is
vital for environmental management. However, water quality monitoring in inland waters by …

Water-quality classification of inland lakes using Landsat8 images by convolutional neural networks

F Pu, C Ding, Z Chao, Y Yu, X Xu - Remote Sensing, 2019 - mdpi.com
Water-quality monitoring of inland lakes is essential for freshwater-resource protection. In
situ water-quality measurements and ratings are accurate but high costs limit their usage …

Detection and monitoring of marine pollution using remote sensing technologies

S Hafeez, MS Wong, S Abbas, CYT Kwok… - Monitoring of Marine …, 2018 - books.google.com
Recently, the marine habitat has been under pollution threat, which impacts many human
activities as well as human life. Increasing concerns about pollution levels in the oceans and …

Remote sensing of chlorophyll-a in Xinkai Lake using machine learning and GF-6 WFV images

S Xu, S Li, Z Tao, K Song, Z Wen, Y Li, F Chen - Remote Sensing, 2022 - mdpi.com
Lake ecosystem eutrophication is a crucial water quality issue that can be efficiently
monitored with remote sensing. GF-6 WFV with a high spatial and temporal resolution …

A spatially weighted neural network based water quality assessment method for large-scale coastal areas

Z Du, J Qi, S Wu, F Zhang, R Liu - Environmental Science & …, 2021 - ACS Publications
The accurate assessment of large-scale and complex coastal waters is a grand challenge
due to the spatial nonstationarity and complex nonlinearity involved in integrating remote …

[HTML][HTML] Trophic status observations for Honghu Lake in China from 2000 to 2021 using Landsat Satellites

F Yang, B He, Y Zhou, W Li, X Zhang, Q Feng - Ecological Indicators, 2023 - Elsevier
Eutrophication of lakes harms aquatic organisms, changes the function of lakes and causes
water pollution, which has affected global public health. As an internationally important …

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 …

Using machine-learning algorithms for eutrophication modeling: case study of Mar Menor Lagoon (Spain)

P Jimeno-Sáez, J Senent-Aparicio, JM Cecilia… - International Journal of …, 2020 - mdpi.com
The Mar Menor is a hypersaline coastal lagoon with high environmental value and a
characteristic example of a highly anthropized hydro-ecosystem located in the southeast of …

Effects of broad bandwidth on the remote sensing of inland waters: Implications for high spatial resolution satellite data applications

Z Cao, R Ma, H Duan, K Xue - ISPRS Journal of Photogrammetry and …, 2019 - Elsevier
High spatial resolution satellite sensors provide opportunities to observe spatial variations of
biogeochemical properties of small-and medium-sized inland water bodies. However, high …