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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 …
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 …
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
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 …
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 …
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
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 …
(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
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 …
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 …
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
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 …
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
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 …
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
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 …
which aids spatial and temporal variation assessment. However, existing models are often …