One-dimensional deep learning driven geospatial analysis for flash flood susceptibility mapping: a case study in North Central Vietnam
PV Hoa, NA Binh, PV Hong, NN An, GTP Thao… - Earth Science …, 2024 - Springer
Flash floods rank among the most catastrophic natural disasters worldwide, inflicting severe
socio-economic, environmental, and human impacts. Consequently, accurately identifying …
socio-economic, environmental, and human impacts. Consequently, accurately identifying …
Integration of machine learning and hydrodynamic modeling to solve the extrapolation problem in flood depth estimation
Flood prediction is an important task, which helps local decision-makers in taking effective
measures to reduce damage to the people and economy. Currently, most studies use …
measures to reduce damage to the people and economy. Currently, most studies use …
Morphometric analysis and prioritization of sub-watersheds of the Inaouene River upstream of the Idris I dam using the GIS techniques
S El Boute, M Agssura, A Hilali, A Hili, J Gartet - Applied Geomatics, 2024 - Springer
The prioritization of watersheds has increasingly become an optimal and relevant approach
for the management and planning against natural hazards. This approach is based on the …
for the management and planning against natural hazards. This approach is based on the …
Modelling on assessment of flood risk susceptibility at the Jia Bharali River basin in Eastern Himalayas by integrating multicollinearity tests and geospatial techniques
Climate change and anthropogenic factors have exacerbated flood risks in many regions
across the globe, including the Himalayan foothill region in India. The Jia Bharali River …
across the globe, including the Himalayan foothill region in India. The Jia Bharali River …
Urban land suitability analysis using geospatial techniques and combined weighting approach in Gabes zone, Southeastern Tunisia
Abstract Urban Land Suitability analysis is necessary in any development project in order to
ensure rational urban planning and sustainable development. In this study, a novel …
ensure rational urban planning and sustainable development. In this study, a novel …
Futuristic flood risks assessment, in the Upper Vellar Basin, integrating AHP and bivariate analysis
M Subbulakshmi, S Nanda - Advances in Space Research, 2024 - Elsevier
Flood susceptibility maps provide invaluable information for assessing and managing flood-
prone areas, aiding in proactive planning, risk reduction strategies, and safeguarding …
prone areas, aiding in proactive planning, risk reduction strategies, and safeguarding …
Flood susceptibility mapping through geoinformatics and ensemble learning methods, with an emphasis on the AdaBoost-Decision Tree algorithm, in Mazandaran …
M Jahanbani, MH Vahidnia, H Aghamohammadi… - Earth Science …, 2024 - Springer
Floods, as natural disasters, impose significant human and financial burdens, necessitating
stringent mitigation measures. The recurrent annual incidence of floods precipitates …
stringent mitigation measures. The recurrent annual incidence of floods precipitates …
Assessing GLOF Hazards in the Himalayas: A Hybrid FR-AHP Approach to Susceptibility Mapping
Glacial lakes in the Himalayan region have triggered numerous glacial lake outburst floods
(GLOFs), leading to extreme flash floods and extensive destruction. Therefore, identifying …
(GLOFs), leading to extreme flash floods and extensive destruction. Therefore, identifying …
SAR-driven flood inventory and multi-factor ensemble susceptibility modelling using machine learning frameworks
Climate change has substantially increased both the occurrence and intensity of flood
events, particularly in the Indian subcontinent, exacerbating threats to human populations …
events, particularly in the Indian subcontinent, exacerbating threats to human populations …
Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling
SV Razavi-Termeh, A Sadeghi-Niaraki… - … Journal of Digital …, 2024 - Taylor & Francis
This study focuses on determining the optimal distance metric in the K-Nearest Neighbors
(KNN) algorithm for spatial modelling of floods. Four distance metrics of the KNN algorithm …
(KNN) algorithm for spatial modelling of floods. Four distance metrics of the KNN algorithm …