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 …

Multiscale land use impacts on water quality: Assessment, planning, and future perspectives in Brazil

K de Mello, RH Taniwaki, FR de Paula… - Journal of …, 2020 - Elsevier
Brazil contains the largest volume of freshwater of any nation in the world; however, this
essential natural resource is threatened by rapid increases in water consumption and water …

Environmental assessment based surface water quality prediction using hyper-parameter optimized machine learning models based on consistent big data

MI Shah, MF Javed, A Alqahtani, A Aldrees - Process Safety and …, 2021 - Elsevier
Prediction of dissolved oxygen (DO) and total dissolved solids (TDS) are of paramount
importance for water environmental protection and analysis of the ecosystem. The traditional …

Remote sensing and machine learning based framework for the assessment of spatio-temporal water quality in the Middle Ganga Basin

A Krishnaraj, R Honnasiddaiah - Environmental Science and Pollution …, 2022 - Springer
Understanding the dynamics of water quality in any water body is vital for the sustainability
of our water resources. Thus, investigating spatio-temporal changes of dominant water …

MODIS-Landsat fusion-based single-band algorithms for TSS and turbidity estimation in an urban-waste-dominated river reach

DP Sahoo, B Sahoo, MK Tiwari - Water Research, 2022 - Elsevier
Riverine ecosystem management along an urban stretch mostly depends on high-frequent
(daily-scale) monitoring of water quality at finer spatial resolutions. However, with the …

Communication technologies for Smart Water Grid applications: Overview, opportunities, and research directions

Y Lalle, M Fourati, LC Fourati, JP Barraca - Computer Networks, 2021 - Elsevier
Due to the aging of current water infrastructure and the increased demand for water
resources, water distribution systems encounter several problems such as pipes leaks and …

[HTML][HTML] Retrieval of water quality parameters in Dianshan Lake based on Sentinel-2 MSI imagery and machine learning: Algorithm evaluation and spatiotemporal …

L Dong, C Gong, H Huai, E Wu, Z Lu, Y Hu, L Li… - Remote Sensing, 2023 - mdpi.com
According to current research, machine learning algorithms have been proven to be
effective in detecting both optical and non-optical parameters of water quality. The use of …

Groundwater quality assessment in a hyper-arid region of Rajasthan, India

P Bhakar, AP Singh - Natural Resources Research, 2019 - Springer
Groundwater is an important source of livelihood in regions where rainfall is scanty, surface
water sources are absent, and all domestic and agricultural needs are fulfilled with …

Modelling the dynamics of evapotranspiration using Variable Infiltration Capacity model and regionally calibrated Hargreaves approach

A Srivastava, B Sahoo, NS Raghuwanshi… - Irrigation Science, 2018 - Springer
Computation of reference evapotranspiration (ET O) at different spatiotemporal scales is
constrained by limited in situ meteorological data availability which, in turn, led to alternate …

[HTML][HTML] Assessment of regression models for surface water quality modeling via remote sensing of a water body in the Mexican Highlands

A Cruz-Retana, R Becerril-Piña, CR Fonseca… - Water, 2023 - mdpi.com
Remote sensing plays a crucial role in modeling surface water quality parameters (WQPs),
which aids spatial and temporal variation assessment. However, existing models are often …