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 …

A novel total phosphorus concentration retrieval method based on two-line classification in lakes and reservoirs across China

C Fang, C Song, X Wang, Q Wang, H Tao… - Science of The Total …, 2024 - Elsevier
Phosphorus is widely recognized as a nutrient that restricts growth and is the primary
contributor to eutrophication in 80% of water bodies. Consequently, the Chinese …

Estimating coastal chlorophyll-a concentration from time-series OLCI data based on machine learning

H Su, X Lu, Z Chen, H Zhang, W Lu, W Wu - Remote Sensing, 2021 - mdpi.com
Chlorophyll-a (chl-a) is an important parameter of water quality and its concentration can be
directly retrieved from satellite observations. The Ocean and Land Color Instrument (OLCI) …

The Source, Distribution, and Environmental Effects of Suspended Particulate Matter in the Yangtze River System

J Fan, J Yang, F Cheng, S Zhang - Water, 2023 - mdpi.com
Suspended particulate matter (SPM) plays a crucial role in biogeochemical cycles in the
aquatic environment because of its ubiquitous presence, mobility, and physicochemical …

A new approach to quantify chlorophyll-a over inland water targets based on multi-source remote sensing data

J Wang, X Chen - Science of The Total Environment, 2024 - Elsevier
Abstract Chlorophyll-a (Chl-a) concentration is a reliable indicator of phytoplankton biomass
and eutrophication, especially in inland waters. Remote sensing provides a means for large …

A hybrid remote sensing approach for estimating chemical oxygen demand concentration in optically complex waters: A case study in inland lake waters in eastern …

X Cai, Y Li, S Lei, S Zeng, Z Zhao, H Lyu… - Science of The Total …, 2023 - Elsevier
Chemical oxygen demand concentration (C COD) is widely used to indicate the degree of
organic pollution of lakes, reservoirs and rivers. Mastering the spatiotemporal distribution of …

[HTML][HTML] Monitoring phycocyanin concentrations in high-latitude inland lakes using Sentinel-3 OLCI data: The case of Lake Hulun, China

X Wang, C Fang, K Song, L Lyu, Y Li, F Lai, Y Lyu… - Ecological …, 2023 - Elsevier
With the intensification of global warming, eutrophication in lakes at high latitudes of China
has become increasingly severe, with the harm of blue-green algae blooms also on the rise …

Optimized remote sensing estimation of the lake algal biomass by considering the vertically heterogeneous chlorophyll distribution: Study case in Lake Chaohu of …

M Hu, Y Zhang, R Ma, K Xue, Z Cao, Q Chu… - Science of the Total …, 2021 - Elsevier
Due to the difference of vertical distribution of algae in lakes, it is necessary to carry out
remote sensing estimation of algal biomass based on the vertically heterogeneous …

Wavelet transform approach for denoising and decomposition of satellite-derived ocean color time-series: Selection of optimal mother wavelet

M Moradi - Advances in Space Research, 2022 - Elsevier
Wavelet Transform (WT) has remarkable advantages for feature extraction and denoising of
satellite-derived ocean color time series datasets. The selection of mother wavelet (MWT) is …

A Systematic Review of the Application of the Geostationary Ocean Color Imager to the Water Quality Monitoring of Inland and Coastal Waters

S Shao, Y Wang, G Liu, K Song - Remote Sensing, 2024 - mdpi.com
In recent decades, eutrophication in inland and coastal waters (ICWs) has increased due to
anthropogenic activities and global warming, thus requiring timely monitoring. Compared …