A Review of Non-Contact Water Level Measurement Based on Computer Vision and Radar Technology

Z Wu, Y Huang, K Huang, K Yan, H Chen - Water, 2023 - mdpi.com
As pioneering non-contact water level measurement technologies, both computer vision and
radar have effectively addressed challenges posed by traditional water level sensors in …

Water level identification with laser sensors, inertial units, and machine learning

CM Ranieri, AVK Foletto, RD Garcia, SN Matos… - … Applications of Artificial …, 2024 - Elsevier
Flood risk management usually hinges on accurate water level identification in urban
streams such as rivers or creeks. Although research has emphasised the applicability of …

A review of ground camera-based computer vision techniques for flood management

S Jun, H Jang, S Kim, JS Lee, D Jung - Computers and Concrete, 2024 - koreascience.kr
Floods are among the most common natural hazards in urban areas. To mitigate the
problems caused by flooding, unstructured data such as images and videos collected from …

Remote Sensing of Watershed: Towards a New Research Paradigm

J Wang, Y Wu, Z Hu, J Zhang - Remote Sensing, 2023 - mdpi.com
Watersheds are critical natural systems that serve as the foundation for sustaining life on
Earth [1]. They play a vital role in the hydrological cycle, supporting water supply, agriculture …

Analysis of Public Space in Historic Districts Based on Community Governance and Neural Networks

F Ding, Y Ren, S Goudos, Y Zhao - IEEE Access, 2023 - ieeexplore.ieee.org
Based on the perspective of community governance, this paper explores the research path
of public space renewal in historic city districts. Taking the historical public space of Lhasa …

Enhanced river suspended sediment concentration identification via multimodal video image, optical flow, and water temperature data fusion

N Zhou, H Chen, B Liu, CY Xu - Journal of Environmental Management, 2024 - Elsevier
Monitoring suspended sediment concentration (SSC) in rivers is pivotal for water quality
management and sustainable river ecosystem development. However, achieving …

Assessment of a Machine Learning Algorithm Using Web Images for Flood Detection and Water Level Estimates

M Tedesco, J Radzikowski - Geohazards, 2023 - mdpi.com
Improving our skills to monitor flooding events is crucial for protecting populations and
infrastructures and for planning mitigation and adaptation strategies. Despite recent …

An Approach Based on Video Image Intelligent Recognition for Water Turbidity Monitoring in River

N Zhou, H Chen, N Chen, B Liu - ACS ES&T Water, 2024 - ACS Publications
Water turbidity stands as a pivotal water quality indicator for water quality monitoring, but
conventional contact monitoring equipment is expensive and challenging to maintain. The …

Ensuring reliable water level measurement for flooding: A redundancy-based approach with pressure transducer and computer vision

SN Matos, ALM Rocha… - Transactions of the …, 2024 - journals.sagepub.com
Fluid level measurement is essential in many fields, including industrial and civil sectors,
especially for urban flood detection, where there is a high risk of mortality and economic …

Evaluation of deep learning computer vision for water level measurements in rivers

WC Liu, WC Huang - Heliyon, 2024 - cell.com
Image-based gauging stations offer the potential for substantial enhancement in the
monitoring networks of river water levels. Nonetheless, the majority of camera gauges fall …