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Jui-Fa Chen, Yu-Ting Liao and Po-Chun Wang
Climate change has exacerbated severe rainfall events, leading to rapid and unpredictable fluctuations in river water levels. This environment necessitates the development of real-time, automated systems for water level detection. Due to degradation, tra...
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Mengjun Ku, Hao Jiang, Kai Jia, Xuemei Dai, Jianhui Xu, Dan Li, Chongyang Wang and Boxiong Qin
South China is dominated by mountainous agriculture and croplands that are at risk of flood disasters, posing a great threat to food security. Synthetic aperture radar (SAR) has the advantage of being all-weather, with the ability to penetrate clouds and...
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Kevin J. Wienhold, Dongfeng Li, Wenzhao Li and Zheng N. Fang
The identification of flood hazards during emerging public safety crises such as hurricanes or flash floods is an invaluable tool for first responders and managers yet remains out of reach in any comprehensive sense when using traditional remote-sensing ...
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Umair Iqbal, Muhammad Zain Bin Riaz, Jiahong Zhao, Johan Barthelemy and Pascal Perez
Floods are one of the most often occurring and damaging natural hazards. They impact the society on a massive scale and result in significant damages. To reduce the impact of floods, society needs to keep benefiting from the latest technological innovati...
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Wenzhao Li, Dongfeng Li and Zheng N. Fang
Numerous algorithms have been developed to automate the process of delineating water surface maps for flood monitoring and mitigation purposes by using multiple sources such as satellite sensors and digital elevation model (DEM) data. To better understan...
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Ravindu Panditharathne, Miyuru B. Gunathilake, Imiya M. Chathuranika, Upaka Rathnayake, Mukand S. Babel and Manoj K. Jha
Rainfall is one of the dominating climatic parameters that affect water availability. Trend analysis is of paramount significance to understand the behavior of hydrological and climatic variables over a long timescale. The main aim of the present study w...
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Yizhi Wang, Jia Liu, Lin Xu, Fuliang Yu and Shanjun Zhang
Streamflow modelling is one of the most important elements for the management of water resources and flood control in the context of future climate change. With the advancement of numerical weather prediction and modern detection technologies, more and m...
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Nur Zahidah Shafii, Ahmad Shakir Mohd Saudi, Jyh Chyang Pang, Izuddin Fahmy Abu, Norzahir Sapawe, Mohd Khairul Amri Kamarudin and Mohamad Haiqal Nizar Mohamad
Flood risk has increased distressingly, and the incidence of waterborne diseases, such as diarrhoeal diseases from bacteria, has been reported to be high in flood-prone areas. This study aimed to evaluate the flood risk patterns and the plausible applica...
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Imran, Megat Farez Azril Zuhairi, Syed Mubashir Ali, Zeeshan Shahid, Muhammad Mansoor Alam and Mazliham Mohd Su?ud
Anomaly detection (AD) has captured a significant amount of focus from the research field in recent years, with the rise of the Internet of Things (IoT) application. Anomalies, often known as outliers, are defined as the discovery of anomalous occurrence...
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Rula Tawalbeh, Feras Alasali, Zahra Ghanem, Mohammad Alghazzawi, Ahmad Abu-Raideh and William Holderbaum
In considering projections that flooding will increase in the future years due to factors such as climate change and urbanization, the need for dependable and accurate water sensors systems is greater than ever. In this study, the performance of four dif...
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