et al. Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a sequential ensemble algorithm. Weather and Climate Extremes, 2023, 41: 100595. DOI:10.1016/j.wace.2023.100595 42. Saikh, N.I., Mondal...
(2022) proposed a Unet-based dual-stream architecture for optical-SAR change detection. The network extracts deep features using two separate Unets, then combines multi-modal features by simple concatenation. The major difference between this paper and the ones listed above are three folds: firstly...
As a result of this flood forecasting system, a warning time of more than 31.0 h could be achieved at these 12 TPNR locations, despite the fact that the physical detection method would not fully cover these areas. In the case of the Uda River (Fig. 4), flood alarms were issued at 3...
Urban floods pose a significant threat to cities worldwide, impacting lives and livelihoods. This study focuses on the urban flood risk assessment of the J
Flood detection and susceptibility mapping using Sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on K-Nearest Neighbor classifier Remote Sens., 12 (2020), 10.3390/rs12020266 Google Scholar Stevens et al., 1967 Stevens, K.N., Cover, ...
This research is undertaken as part of the DST-NRDMS project funded by the Department of Science and technology, GOI. The authors thank the funding agency for providing the necessary guidance and financial support. Funding This study was funded by the Natural Resources Data Management System. ...
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For a late signal (or detection), we assigned the weight 0.3 as this outcome is expected for some flood events. Lastly, we take the weight − 0.2 for false alarms, as these false alarms have a negative impact in terms of the efficiency of the EWS. Table 4 shows the results of...
Ouagadougou, the capital city of Burkina Faso, is facing significant economic and social damages due to recurring floods. This study aimed to develop a flo
Presented work focuses onto proposal, implementation and evaluation of the new method for detection and type identification of SYN flood (DoS) attacks. The method allows distinguishing type of detected SYN flood attacks – random, subnet or fixed. Based