Coastal flooding in Asian megadeltas: Recent advances, persistent challenges, and call for actions amidst local and global changes

M Becker, K Seeger, A Paszkowski… - Reviews of …, 2024 - Wiley Online Library
Asian megadeltas, specifically the Ganges‐Brahmaputra‐Meghna, Irrawaddy, Chao Phraya,
Mekong, and Red River deltas host half of the world's deltaic population and are vital for …

Residual wave vision U-Net for flood map** using dual polarization Sentinel-1 SAR imagery

A Jamali, SK Roy, LH Beni, B Pradhan, J Li… - International Journal of …, 2024 - Elsevier
The increasing severity, duration, and frequency of destructive floods can be attributed to
shifts in climate, infrastructure, land use, and population demographics. Obtaining precise …

Urban flood susceptibility map** using remote sensing, social sensing and an ensemble machine learning model

X Zhu, H Guo, JJ Huang - Sustainable Cities and Society, 2024 - Elsevier
Flood susceptibility map** is crucial for urban disaster management. However, the
heterogeneity of urban land use and the complexity of terrain pose challenges to the …

SAR-TSCC: A novel approach for long time series SAR image change detection and pattern analysis

W Li, P Ma, H Wang, C Fang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Change detection has played an increasingly important role in multitemporal remote
sensing applications recently. Long time series analysis is providing new information of land …

[HTML][HTML] Improving the accuracy of flood susceptibility prediction by combining machine learning models and the expanded flood inventory data

H Yu, Z Luo, L Wang, X Ding, S Wang - Remote Sensing, 2023 - mdpi.com
Sufficient historical flood inventory data (FID) are crucial for accurately predicting flood
susceptibility using supervised machine learning models. However, historical FID are …

Unsupervised color-based flood segmentation in uav imagery

G Simantiris, C Panagiotakis - Remote Sensing, 2024 - mdpi.com
We propose a novel unsupervised semantic segmentation method for fast and accurate
flood area detection utilizing color images acquired from unmanned aerial vehicles (UAVs) …

[HTML][HTML] Interannual comparison of historical floods through flood detection using multi-temporal Sentinel-1 SAR images, Awash River Basin, Ethiopia

AT Haile, TW Bekele, T Rientjes - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Synthetic-aperture radar (SAR) data from Sentinel-1 satellites provides unprecedented
opportunity to evaluate inter-annual flood characteristics, although consensus on best flood …

[HTML][HTML] Super-resolution water body map** with a feature collaborative CNN model by fusing Sentinel-1 and Sentinel-2 images

Z Yin, P Wu, X Li, Z Hao, X Ma, R Fan, C Liu… - International Journal of …, 2024 - Elsevier
Map** water bodies from remotely sensed imagery is crucial for understanding
hydrological and biogeochemical processes. The identification of water extent is mainly …

A comparison of global flood models using Sentinel-1 and a change detection approach

A Risling, S Lindersson, L Brandimarte - Natural Hazards, 2024 - Springer
Advances in numerical algorithms, improvement of computational power and progress in
remote sensing have led to the development of global flood models (GFMs), which promise …