Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP …
Background Operational large-scale flood monitoring using publicly available satellite data
is possible with the advent of Sentinel-1 microwave data, which enables near-real-time (at 6 …
is possible with the advent of Sentinel-1 microwave data, which enables near-real-time (at 6 …
Integrating machine learning and geospatial data analysis for comprehensive flood hazard assessment
C Singha, VK Rana, QB Pham, DC Nguyen… - … Science and Pollution …, 2024 - Springer
Flooding is a major natural hazard worldwide, causing catastrophic damage to communities
and infrastructure. Due to climate change exacerbating extreme weather events robust flood …
and infrastructure. Due to climate change exacerbating extreme weather events robust flood …
[PDF][PDF] Flood inundation mapping and depth modelling using machine learning algorithms and microwave data
Flooding is one of the most devastating natural hazards that significantly impact human life
and property. During floods, monitoring and mapping flood extent is crucial in identifying the …
and property. During floods, monitoring and mapping flood extent is crucial in identifying the …
Real-time flood inundation monitoring in Capital of India using Google Earth Engine and Sentinel database
B Rana - Knowledge-Based Engineering and …, 2023 - … journals.publicknowledgeproject.org
This study focuses on researching flood inundation and vulnerable areas in Delhi NCT
using Remote Sensing (RS) and GIS techniques during flood from July 8 to July 15, 2023 …
using Remote Sensing (RS) and GIS techniques during flood from July 8 to July 15, 2023 …
[HTML][HTML] Integration of multi-temporal SAR data and robust machine learning models for improvement of flood susceptibility assessment in the southwest coast of India
P Prasad, S Mandal, SS Naik, VJ Loveson… - Applied Computing and …, 2024 - Elsevier
The flood hazards in the southwest coastal region of India in 2018 and 2020 resulted in
numerous casualties and the displacement of over a million people from their homes. In …
numerous casualties and the displacement of over a million people from their homes. In …
Flood hazard mapping using fuzzy logic, analytical hierarchy process, and multi-source geospatial datasets
Iran is among the driest countries in the world, where many natural hazards, such as floods,
frequently occur. This study introduces a straightforward flood hazard assessment approach …
frequently occur. This study introduces a straightforward flood hazard assessment approach …
Evaluation of machine learning, information theory and multi-criteria decision analysis methods for flood susceptibility mapping under varying spatial scale of analyses
The annual average economic losses due to various natural disasters are increasing
exponentially across the globe and have reached a mark of US $239.2 billion per year …
exponentially across the globe and have reached a mark of US $239.2 billion per year …
A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systems
Flood mapping is essential for managing and mitigating the risks associated with flood
events. This study integrates weighted overlay analysis and analytical network process to …
events. This study integrates weighted overlay analysis and analytical network process to …
Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks
M Ahmadlou, A Al‐Fugara… - Journal of Flood Risk …, 2021 - Wiley Online Library
Floods are one of the most destructive natural disasters causing financial damages and
casualties every year worldwide. Recently, the combination of data‐driven techniques with …
casualties every year worldwide. Recently, the combination of data‐driven techniques with …
Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins
The mountainous watersheds are increasingly challenged with extreme erosions and
devastating floods due to climate change and human interventions. Hazard mapping is …
devastating floods due to climate change and human interventions. Hazard mapping is …