河流水体悬浮泥沙遥感研究进展与展望

段梦伟, 李如仁, 刘东, 蒋昕桐, 仇志强, 李柯妤 - 地球科学进展, 2023 - adearth.ac.cn
河流悬浮泥沙动态监测对河道变迁, 水利工程安全运行, 生态和环境保护等都具有重要的应用
价值, 利用遥感技术可对大区域河流水体悬浮泥沙进行实时监测. 与海洋和湖泊等大面积水体相 …

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 …

[HTML][HTML] Estimation of suspended sediment concentration in the yangtze main stream based on sentinel-2 MSI data

C Zhang, Y Liu, X Chen, Y Gao - Remote Sensing, 2022 - mdpi.com
Suspended sediment concentration (SSC) is an important indicator of water quality that
affects the biological processes of river ecosystems and the evolution of floodplains and …

Drivers of suspended sediment dynamics along the shorelines of the Yellow River Delta detected from satellite data

S Jin, S Fagherazzi, CG Fichot, X Wu… - Earth Surface …, 2023 - Wiley Online Library
Total suspended solids (TSS) can be a useful indicator of environmental change in
nearshore coastal environments. Understanding the mechanisms of TSS variations in …

Source-to-sink sediment fluxes and budget in the Chao Phraya River, Thailand: A multi-scale analysis based on the national dataset

E Park, J Lim, HL Ho, J Herrin, D Chitwatkulsiri - Journal of Hydrology, 2021 - Elsevier
In this paper, we provide a holistic view of the hydro-sedimentological regimes of the Chao
Phraya River (CPR) Basin, the fifth largest basin in Southeast Asia. Our analysis of daily …

[HTML][HTML] A single semi-analytical algorithm to retrieve chlorophyll-a concentration in oligo-to-hypereutrophic waters of a tropical reservoir cascade

L Rotta, E Alcântara, E Park, N Bernardo… - Ecological Indicators, 2021 - Elsevier
Previous studies have shown the challenges in using a single model to estimate chlorophyll-
a concentration (Chl-a) in water bodies with widely differing characteristics. A single model …

Inland water's trophic status classification based on machine learning and remote sensing data

FSY Watanabe, GT Miyoshi, TWP Rodrigues… - Remote Sensing …, 2020 - Elsevier
In this work, we tested machine learning algorithms in classifying waters in a reservoir
cascade with basis in trophic state. The classification was done through remote sensing …

[HTML][HTML] The Effect of Suspended Particulate Matter on the Supraglacial Lake Depth Retrieval from Optical Data

L Brodský, V Vilímek, M Šobr, T Kroczek - Remote Sensing, 2022 - mdpi.com
Supraglacial lakes (SGL) are a specific phenomenon of glaciers. They are important for ice
dynamics, surface mass balance, and surface hydrology, especially during ongoing climate …

[HTML][HTML] An incongruence-based anomaly detection strategy for analyzing water pollution in images from remote sensing

MA Dias, EA Silva, SC Azevedo, W Casaca, T Statella… - Remote Sensing, 2019 - mdpi.com
The potential applications of computational tools, such as anomaly detection and
incongruence, for analyzing data attract much attention from the scientific research …

[HTML][HTML] A Machine Learning Strategy Based on Kittler's Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments

MA Dias, GC Marinho, RG Negri, W Casaca, IB Muñoz… - Remote Sensing, 2022 - mdpi.com
Environmental monitoring, such as analyses of water bodies to detect anomalies, is
recognized worldwide as a task necessary to reduce the impacts arising from pollution …