Managing floodplains using nature‐based solutions to support multiple ecosystem functions and services

J Jakubínský, M Prokopova, P Raška… - Wiley …, 2021 - Wiley Online Library
Floodplains include unique environments shaped over a long time horizon along rivers and
smaller streams and formed by alluvial sediments. As floodplains are flat, often with highly …

[HTML][HTML] Flooding and its relationship with land cover change, population growth, and road density

M Rahman, C Ningsheng, GI Mahmud, MM Islam… - Geoscience …, 2021 - Elsevier
Bangladesh experiences frequent hydro-climatic disasters such as flooding. These disasters
are believed to be associated with land use changes and climate variability. However …

An Application of Hybrid Bagging-Boosting Decision Trees Ensemble Model for Riverine Flood Susceptibility Mapping and Regional Risk Delineation

J Sarwar, SA Khan, M Azmat, F Khan - Water Resources Management, 2024 - Springer
Flood disasters have become the most prevalent natural phenomenon as a result of climate
change and other environmental factors. Most countries are vulnerable to flooding, which is …

Quantifying the landscape's ecological benefits—an analysis of the effect of land cover change on ecosystem services

JC Ureta, L Clay, M Motallebi, J Ureta - Land, 2020 - mdpi.com
The increasing pressure from land cover change exacerbates the negative effect on
ecosystems and ecosystem services (ES). One approach to inform holistic and sustainable …

Hydrologic models coupled with 2D hydrodynamic model for high-resolution urban flood simulation

MM de Arruda Gomes, LF de Melo Verçosa, JA Cirilo - Natural Hazards, 2021 - Springer
Floods are the most frequent natural disaster and pose a very challenging threat to many
cities worldwide. Understanding the flood dynamic is essential for developing strategies to …

A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models

J Sarwar, SA Khan, M Azmat, F Khan - Environmental Science and …, 2024 - Springer
The research aims to propose a feature selection model for hydraulic analysis as such a
model has not been proposed previously. For this purpose, hybrids of three metaheuristic …

Google Earth Engine and Machine Learning for Flash Flood Exposure Mapping—Case Study: Tetouan, Morocco

ELM SELLAMI, H Rhinane - Geosciences, 2024 - mdpi.com
Recently, the earth's climate has changed considerably, leading to several hazards,
including flash floods (FFs). This study aims to introduce an innovative approach to mapping …

Detect traffic lane image using geospatial LiDAR data point clouds with machine learning analysis

M Shanmuga Sundari, M Sudha Rani… - Intelligent System Design …, 2022 - Springer
Artificial intelligence is a challenging domain in geospatial technology. It will boost the
heights in various application domains while also displaying the variance in the …

Hydrogeomorphological analysis for hydraulic public domain definition: case study in Carrión River (Palencia, Spain)

L Lombana, A Martínez-Graña - Environmental Earth Sciences, 2021 - Springer
Fluvial spaces have a marked reduction at a global level because of anthropic processes,
which have generated an increase in elements exposed to flooding. These spaces include …

Trend of LiDAR utilization in disaster resilience: A literature review

L Rohmah, A Mushfiroh, A Gamal - AIP Conference Proceedings, 2024 - pubs.aip.org
Research on the Geographic Information System (GIS) application in disaster response,
prevention, mitigation, and management has been rife since the mid-1990s. Advanced data …