A novel flood risk map** approach with machine learning considering geomorphic and socio-economic vulnerability dimensions

P Deroliya, M Ghosh, MP Mohanty, S Ghosh… - Science of the Total …, 2022 - Elsevier
Quantifying flood hazards by employing hydraulic/hydrodynamic models for flood risk
map** is a widely implemented non-structural flood management strategy. However, the …

Flood extent map**: An integrated method using deep learning and region growing using UAV optical data

L Hashemi-Beni, AA Gebrehiwot - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Flooding occurs frequently and causes loss of lives, and extensive damages to infrastructure
and the environment. Accurate and timely map** of flood extent to ascertain damages is …

Urban flood risk assessment in Zhengzhou, China, based on a D-number-improved analytic hierarchy process and a self-organizing map algorithm

Z Wu, W Xue, H Xu, D Yan, H Wang, W Qi - Remote Sensing, 2022 - mdpi.com
Flood risk assessment is an important tool for disaster warning and prevention. In this study,
an integrated approach based on a D-number-improved analytic hierarchy process (D-AHP) …

Map** of flood areas using landsat with google earth engine cloud platform

H Mehmood, C Conway, D Perera - Atmosphere, 2021 - mdpi.com
The Earth Observation (EO) domain can provide valuable information products that can
significantly reduce the cost of map** flood extent and improve the accuracy of map** …

Flood risk map** 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 develo**
countries like India. Settlements in flood hazard zones increase flood risk due to a lack of …

Google earth engine as multi-sensor open-source tool for supporting the preservation of archaeological areas: the case study of flood and fire map** in Metaponto …

C Fattore, N Abate, F Faridani, N Masini, R Lasaponara - Sensors, 2021 - mdpi.com
In recent years, the impact of Climate change, anthropogenic and natural hazards (such as
earthquakes, landslides, floods, tsunamis, fires) has dramatically increased and adversely …

ANADEM: a digital terrain model for South America

L Laipelt, B Comini de Andrade, W Collischonn… - Remote Sensing, 2024 - mdpi.com
Digital elevation models (DEMs) have a wide range of applications and play a crucial role in
many studies. Numerous public DEMs, frequently acquired using radar and optical satellite …

Snowmelt flood susceptibility assessment in kunlun mountains based on the swin transformer deep learning method

R Yang, G Zheng, P Hu, Y Liu, W Xu, A Bao - Remote Sensing, 2022 - mdpi.com
Modeling and assessing the susceptibility of snowmelt floods is critical for flood hazard
management. However, the current research on snowmelt flood susceptibility lacks a valid …

Satellite flood detection integrating hydrogeomorphic and spectral indices

C Samela, R Coluzzi, V Imbrenda… - GIScience & Remote …, 2022 - Taylor & Francis
Satellite remote sensing is a highly valuable data source useful in the monitoring of surface
water dynamics and an essential tool in flood risk management although several factors can …

Three-dimensional inundation map** using UAV image segmentation and digital surface model

AA Gebrehiwot, L Hashemi-Beni - ISPRS International Journal of Geo …, 2021 - mdpi.com
Flood occurrence is increasing due to the expansion of urbanization and extreme weather
like hurricanes; hence, research on methods of inundation monitoring and map** has …