The data that support the findings of this study were derived from the following resources available in the public domain: [[scihub.copernicus.eu/ and https://earthexplorer.usgs.gov/] . This study integrated the geographic information system, SAR data, and two deep learning techniques; namely, the convolutional neural network (CNN) and Group Method of Data Handling (GMDH) network model techniques, to generate a flood susceptibility map (FSM)
Resulting riverine flood susceptibility maps for the Gidra River Basin, Slovakia.THIS DATASET IS ARC...
Throughout history floods have been part of the human experience. They are recurring phenomena that ...
Flood is a huge issue which influences the human activities. The outcomes will end in tremendous gen...
The data that support the findings of this study were derived from the following resources available...
Floods are potentially devastating natural hazards that can threaten human life and ecosystems. The ...
This study suggests a rapid methodology to delineate areas prone to flood using machine learning tec...
Deep learning techniques have been increasingly used in flood management to overcome the limitations...
Iran experiences frequent destructive floods with significant socioeconomic consequences. Quantifyin...
The adverse effects of flood events have been increasing in the world due to the increasing occurren...
Floods can have devastating consequences on people, infrastructure, and the ecosystem. Satellite ima...
Floods are one of the most destructive natural disasters causing financial dam-ages and casualties e...
Flooding is a destructive natural phenomenon that causes many casualties and property losses in diff...
Floods are one of the most destructive natural disasters, causing financial and human losses every y...
Floods are one of the most frequent natural disasters worldwide. Although the vulnerability varies f...
Flooding is the most common natural disaster in many countries. Remote sensing images are very much ...
Resulting riverine flood susceptibility maps for the Gidra River Basin, Slovakia.THIS DATASET IS ARC...
Throughout history floods have been part of the human experience. They are recurring phenomena that ...
Flood is a huge issue which influences the human activities. The outcomes will end in tremendous gen...
The data that support the findings of this study were derived from the following resources available...
Floods are potentially devastating natural hazards that can threaten human life and ecosystems. The ...
This study suggests a rapid methodology to delineate areas prone to flood using machine learning tec...
Deep learning techniques have been increasingly used in flood management to overcome the limitations...
Iran experiences frequent destructive floods with significant socioeconomic consequences. Quantifyin...
The adverse effects of flood events have been increasing in the world due to the increasing occurren...
Floods can have devastating consequences on people, infrastructure, and the ecosystem. Satellite ima...
Floods are one of the most destructive natural disasters causing financial dam-ages and casualties e...
Flooding is a destructive natural phenomenon that causes many casualties and property losses in diff...
Floods are one of the most destructive natural disasters, causing financial and human losses every y...
Floods are one of the most frequent natural disasters worldwide. Although the vulnerability varies f...
Flooding is the most common natural disaster in many countries. Remote sensing images are very much ...
Resulting riverine flood susceptibility maps for the Gidra River Basin, Slovakia.THIS DATASET IS ARC...
Throughout history floods have been part of the human experience. They are recurring phenomena that ...
Flood is a huge issue which influences the human activities. The outcomes will end in tremendous gen...