A novel flood risk map** approach with machine learning considering geomorphic and socio-economic vulnerability dimensions
Quantifying flood hazards by employing hydraulic/hydrodynamic models for flood risk
map** is a widely implemented non-structural flood management strategy. However, the …
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 …
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) …
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
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** …
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
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 …
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 …
In recent years, the impact of Climate change, anthropogenic and natural hazards (such as
earthquakes, landslides, floods, tsunamis, fires) has dramatically increased and adversely …
earthquakes, landslides, floods, tsunamis, fires) has dramatically increased and adversely …
ANADEM: a digital terrain model for South America
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 …
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 …
management. However, the current research on snowmelt flood susceptibility lacks a valid …
Satellite flood detection integrating hydrogeomorphic and spectral indices
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 …
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 …
like hurricanes; hence, research on methods of inundation monitoring and map** has …