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 …

Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery

C Niu, K Tan, X Jia, X Wang - Environmental Pollution, 2021 - Elsevier
Airborne hyperspectral remote sensing has the characteristics of high spatial and spectral
resolutions, and provides an opportunity for accurate and efficient inland water qauality …

Retrieval of water quality parameters from hyperspectral images using a hybrid feedback deep factorization machine model

Y Zhang, L Wu, L Deng, B Ouyang - Water research, 2021 - Elsevier
Environmental protection of water resources is of critical importance to daily life of human
beings. In recent years, monitoring the variation of water quality using remote sensing …

[HTML][HTML] An advanced remote sensing retrieval method for urban non-optically active water quality parameters: An example from Shanghai

L Li, M Gu, C Gong, Y Hu, X Wang, Z Yang… - Science of The Total …, 2023 - Elsevier
The optical insensitivity of non-optically active water quality parameters (NAWQPs) presents
a significant challenge for remote sensing-based quantitative monitoring, which is an …

Surface water quality assessment through remote sensing based on the box–cox transformation and linear regression

JG Loaiza, JG Rangel-Peraza, SA Monjardín-Armenta… - Water, 2023 - mdpi.com
A methodology to estimate surface water quality using remote sensing is presented based
on Landsat satellite imagery and in situ measurements taken every six months at four …

A multi–step approach for optically active and inactive water quality parameter estimation using deep learning and remote sensing

M Ahmed, R Mumtaz, Z Anwar, A Shaukat, O Arif… - Water, 2022 - mdpi.com
Water is a fundamental resource for human survival but the consumption of water that is unfit
for drinking leads to serious diseases. Access to high–resolution satellite imagery provides …

[HTML][HTML] Estimating Chemical Oxygen Demand in estuarine urban rivers using unmanned aerial vehicle hyperspectral images

J Cai, L Meng, H Liu, J Chen, Q Xing - Ecological Indicators, 2022 - Elsevier
In this study, we combined ground-based hyperspectral data, unmanned aerial vehicles
(UAVs) remotely sensed hyperspectral images, and 1D-CNN algorithms to quantitatively …

Estimation of water quality variables based on machine learning model and cluster analysis-based empirical model using multi-source remote sensing data in inland …

D Tian, X Zhao, L Gao, Z Liang, Z Yang, P Zhang… - Environmental …, 2024 - Elsevier
Reservoirs play important roles in the drinking water supply for urban residents, agricultural
water provision, and the maintenance of ecosystem health. Satellite optical remote sensing …

Enhancing the accuracy of retrieving quantities of turbidity and total suspended solids using Landsat-8-based-principal component analysis technique

E Sharaf El Din - Journal of Spatial science, 2021 - Taylor & Francis
Estimation of surface water quality parameters (SWQPs) from satellite imagery is a cost-
effective method. Remote sensing algorithms are developed to map the relationship …

Mapping chlorophyll-a concentrations in the kaštela bay and brač channel using ridge regression and sentinel-2 satellite images

A Ivanda, L Šerić, M Bugarić, M Braović - Electronics, 2021 - mdpi.com
In this paper, we describe a method for the prediction of concentration of chlorophyll-a (Chl-
a) from satellite data in the coastal waters of Kaštela Bay and the Brač Channel (our case …