[PDF][PDF] Flood inundation mapping and depth modelling using machine learning algorithms and microwave data

G Prakash, PK Gupta, GV Rao, D Pratap - J Geomatics, 2021 - researchgate.net
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 …

Flood Inundation Mapping Using C-band Synthetic-aperture Radar and Random Forest Algorithm: A Methodological Basis

SS Parihar, S Matin - 5th World Congress on Disaster …, 2022 - taylorfrancis.com
The synthetic aperture radar (SAR) sensors are sensitive to parameters such as scattering
mechanism, surface roughness, the dielectric of the target feature, and incident angles. The …

Machine learning ensemble model for flood susceptibility mapping

S Kundapura, A Soman… - 2022 IEEE 7th International …, 2022 - ieeexplore.ieee.org
Floods can be considered the most dangerous natural disaster, given their unpredictability
and capacity to wipe out valuable life and property. The timely and efficient prediction of …

Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP …

AJ Prakash, S Begam, V Vilímek, S Mudi… - Geoenvironmental …, 2024 - Springer
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 …

Flood Susceptibility Map of Periyar River Basin Using Geo-spatial Technology and Machine Learning Approach

P Geetha, D Madhu - Remote Sensing in Earth Systems Sciences, 2024 - Springer
Floods are among nature's most destructive disasters because they create extremely
extensive damage to structures, the environment, and people. Therefore, it is important to …

Fusion of diverse data sources for flood extent mapping and risk assessment in Sindh: A comparative study of inundation mapping approaches

VK Rana, QB Pham, F Granata, F Di Nunno… - Advances in Space …, 2024 - Elsevier
Accurate and timely mapping of flood extent is crucial for effective disaster response and
management. However, existing methods often face challenges in integrating diverse data …

Flood risk mapping for the lower Narmada basin in India: a machine learning and IoT-based framework

NK Mangukiya, A Sharma - Natural Hazards, 2022 - Springer
Floods have a significant economic, social, and environmental impact in developing
countries like India. Settlements in flood hazard zones increase flood risk due to a lack of …

Flood risk mapping using random forest and support vector machine

M Ganjirad, MR Delavar - ISPRS Annals of the …, 2023 - isprs-annals.copernicus.org
Floods are among the natural disasters that cause financial and human losses all over the
world every year. By production of a flood risk map and determination of potential flood risk …

Flood mapping and simulation using sentinel 2 and SRTM data

I Muhammed - FUTY Journal of the Environment, 2020 - ajol.info
Flood is one of the most devastating natural disasters occurring and affecting lives and
economies globally. Hazards associated with floods are linked to storms raging across …

Flood susceptibility mapping of Northeast coastal districts of Tamil Nadu India using Multi-source Geospatial data and Machine Learning techniques

S Saravanan, D Abijith - Geocarto International, 2022 - Taylor & Francis
Flooding is one of the most challenging and important natural disasters to predict, it is
becoming more frequent and more intense. The study area is badly damaged by devastating …