[HTML][HTML] Particle swarm optimization based LSTM networks for water level forecasting: A case study on Bangladesh river network

JF Ruma, MSG Adnan, A Dewan, RM Rahman - Results in Engineering, 2023 - Elsevier
Floods are one of the most catastrophic natural disasters. Water level forecasting is an
essential method of avoiding floods and disaster preparedness. In recent years, models for …

GIS-based urban flood risk assessment and management—a case study of Delhi National Capital Territory (NCT), India

P Tomar, SK Singh, S Kanga, G Meraj, N Kranjčić… - Sustainability, 2021 - mdpi.com
Urban floods are very destructive and have significant socioeconomic repercussions in
regions with a common flooding prevalence. Various researchers have laid down numerous …

Socio-economic resilience to floods in coastal areas of Thailand

U Langkulsen, DT Rwodzi, P Cheewinsiriwat… - International journal of …, 2022 - mdpi.com
Krabi and Nakhon Si Thammarat are two coastal provinces in Thailand facing substantial
threats from climate change induced hydrometeorological hazards, including enhanced …

Developing an integrated model for planning the delivery of construction materials to post-disaster reconstruction projects

Z Gharib, M Yazdani, A Bozorgi-Amiri… - Journal of …, 2022 - academic.oup.com
Construction material delivery to post-disaster reconstruction projects is challenging
because of the resource and time limitations that follow a large-scale disaster. There is …

An integrated flood risk assessment approach based on coupled hydrological-hydraulic modeling and bottom-up hazard vulnerability analysis

K Zhang, MH Shalehy, GT Ezaz, A Chakraborty… - … Modelling & Software, 2022 - Elsevier
Accurately quantifying and assessing the flood risks is critical for flood hazard mitigation and
prevention. This study proposed a new integrated flood risk assessment framework to map …

Flood risk mapping and urban infrastructural susceptibility assessment using a GIS and analytic hierarchical raster fusion approach in the Ona River Basin, Nigeria

FN Nkeki, EI Bello, IG Agbaje - International Journal of Disaster Risk …, 2022 - Elsevier
The topical climate change effect, along with several uncontrolled anthropogenic activities,
has resulted in a global flood disaster that continues to wreak havoc on human ecology. The …

A spatial decision support approach for flood vulnerability analysis in urban areas: A case study of Tehran

R Afsari, S Nadizadeh Shorabeh… - … International Journal of …, 2022 - mdpi.com
Preparedness against floods in a hazard management perspective plays a major role in the
pre-event phase. Hence, assessing urban vulnerability and resilience towards floods for …

[HTML][HTML] Cloud-based large-scale data retrieval, mapping, and analysis for land monitoring applications with google earth engine (GEE)

S Ghosh, D Kumar, R Kumari - Environmental Challenges, 2022 - Elsevier
Cloud-based computing systems are linked with analytical tools for large-scale flood
monitoring to solve these problems. Researchers want an exceptionally efficient and …

[HTML][HTML] Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh

V Tiwari, MG Tulbure, J Caineta, MD Gaines… - Journal of …, 2024 - Elsevier
High-resolution mapping of rice fields is crucial for understanding and managing rice
cultivation in countries like Bangladesh, particularly in the face of climate change. Rice is a …

The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review

SK Jagatheesaperumal, MM Hassan, MR Hassan… - Cognitive …, 2024 - Springer
Unmanned aerial vehicles (UAVs) have become essential in disaster management due to
their ability to provide real-time situational awareness and support decision-making …