A comprehensive review on water quality parameters estimation using remote sensing techniques
MH Gholizadeh, AM Melesse, L Reddi - Sensors, 2016 - mdpi.com
Remotely sensed data can reinforce the abilities of water resources researchers and
decision makers to monitor waterbodies more effectively. Remote sensing techniques have …
decision makers to monitor waterbodies more effectively. Remote sensing techniques have …
Integrating Remote Sensing Methods for Monitoring Lake Water Quality: A Comprehensive Review
A Batina, A Krtalić - Hydrology, 2024 - mdpi.com
Remote sensing methods have the potential to improve lake water quality monitoring and
decision-making in water management. This review discusses the use of remote sensing …
decision-making in water management. This review discusses the use of remote sensing …
COVID-19 and its impact on environment: improved pollution levels during the lockdown period–a case from Ahmedabad, India
The novel Coronavirus pandemic (COVID-19) hit the world severely in the first half of 2020
which forced several nations to impose severe restrictions on all sorts of activities involving …
which forced several nations to impose severe restrictions on all sorts of activities involving …
Deep learning-based water quality retrieval in an impounded lake using landsat 8 imagery: An application in Dongping lake
Attempts have been made to incorporate remote sensing techniques and in situ
observations for enhanced water quality assessments. Estimations of nonoptical indicators …
observations for enhanced water quality assessments. Estimations of nonoptical indicators …
Spatiotemporal dynamics of suspended sediments in the Negro River, Amazon Basin, from in situ and Sentinel-2 remote sensing data
Monitoring suspended sediments through remote sensing data in black-water rivers is a
challenge. Herein, remote sensing reflectance (Rrs) from in situ measurements and Sentinel …
challenge. Herein, remote sensing reflectance (Rrs) from in situ measurements and Sentinel …
Global water quality of inland waters with harmonized landsat-8 and sentinel-2 using cloud-computed machine learning
Modeling inland water quality by remote sensing has already demonstrated its capacity to
make accurate predictions. However, limitations still exist for applicability in diverse regions …
make accurate predictions. However, limitations still exist for applicability in diverse regions …
[HTML][HTML] Remote sensing inversion of water quality parameters in the Yellow River Delta
X Cao, J Zhang, H Meng, Y Lai, M Xu - Ecological Indicators, 2023 - Elsevier
In recent years, with the rapid socio-economic development of the Yellow River Delta (YRD),
the pressure on the supply of water resources has continued to rise. The development of oil …
the pressure on the supply of water resources has continued to rise. The development of oil …
An Appraisal of the Potential of Landsat 8 in Estimating Chlorophyll-a, Ammonium Concentrations and Other Water Quality Indicators
In-situ monitoring of lake water quality in synergy with satellite remote sensing represents
the latest scientific trend in many water quality monitoring programs worldwide. This study …
the latest scientific trend in many water quality monitoring programs worldwide. This study …
Study on remote sensing inversion and temporal-spatial variation of Hulun lake water quality based on machine learning
W Song, A Yinglan, Y Wang, Q Fang, R Tang - Journal of Contaminant …, 2024 - Elsevier
Hulun Lake is facing significant water quality degradation, necessitating effective monitoring
for safety. Traditional methods lack the necessary spatial and temporal coverage …
for safety. Traditional methods lack the necessary spatial and temporal coverage …
Hyperspectral sensing for turbid water quality monitoring in freshwater rivers: empirical relationship between reflectance and turbidity and total solids
Total suspended solid (TSS) is an important water quality parameter. This study was
conducted to test the feasibility of the band combination of hyperspectral sensing for inland …
conducted to test the feasibility of the band combination of hyperspectral sensing for inland …