Enhancing flood map** through ensemble machine learning in the Gamasyab watershed, Western Iran
Floods are among the natural hazards that have seen a rapid increase in frequency in
recent decades. The damage caused by floods, including human and financial losses …
recent decades. The damage caused by floods, including human and financial losses …
Dynamic Land Degradation Assessment: Integrating Machine Learning with Landsat 8 OLI/TIRS for Enhanced Spectral, Terrain, and Land Cover Indices
Land degradation is a critical environmental issue with far-reaching implications for
ecosystems and human well-being. This study aimed to develop a robust methodology for …
ecosystems and human well-being. This study aimed to develop a robust methodology for …
[HTML][HTML] Tangible and intangible ex post assessment of flood-induced damage to cultural heritage
C De Lucia, M Amaddii… - Natural Hazards and Earth …, 2024 - nhess.copernicus.org
Floods pose significant risks to cultural heritage (CH), yet post-disaster damage data on CH
remain lacking. In this paper, we address this gap by focusing on the ex post assessment of …
remain lacking. In this paper, we address this gap by focusing on the ex post assessment of …
Threshold-based inventory for flood susceptibility assessment of the world's largest river island using multi-temporal SAR data and ensemble machine learning …
P Prasad, D Gogoi, D Gogoi, T Kumar… - … Research and Risk …, 2024 - Springer
Majuli is the world's largest inhabited river island and is highly prone to flood hazards,
resulting in significant damage to houses and agriculturally based livelihoods. Considering …
resulting in significant damage to houses and agriculturally based livelihoods. Considering …
[HTML][HTML] Metaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas map**
Managing and controlling costly natural hazards such as floods has been a fundamental
and essential issue for decision-makers and planners from the past to the present. Artificial …
and essential issue for decision-makers and planners from the past to the present. Artificial …
Fluvial and pluvial flood hazard map**: combining basin and municipal scale assessment
In this study, we aimed to assess the fluvial and pluvial flood hazard by a combination of
basin and municipal scale assessment using an indicator-based approach, hydrologic …
basin and municipal scale assessment using an indicator-based approach, hydrologic …
Flood susceptibility map** leveraging open-source remote-sensing data and machine learning approaches in Nam Ngum River Basin (NNRB), Lao PDR
Frequent floods caused by monsoons and rainstorms have significantly affected the
resilience of human and natural ecosystems in the Nam Ngum River Basin, Lao PDR. A cost …
resilience of human and natural ecosystems in the Nam Ngum River Basin, Lao PDR. A cost …
Improving flood hazard susceptibility assessment by integrating hydrodynamic modeling with remote sensing and ensemble machine learning
Floods are natural disasters with significant economic and infrastructural impacts. Assessing
flood susceptibility in mountainous urban regions is particularly challenging due to the …
flood susceptibility in mountainous urban regions is particularly challenging due to the …
Tangible and intangible ex-post assessment of flood-induced damages to cultural heritage
C De Lucia, M Amaddii… - Natural Hazards and Earth …, 2024 - nhess.copernicus.org
Floods pose significant risks to cultural heritage (CH), yet post-disaster damage data to CH
remain lacking. In this paper, we address this gap by focusing on the ex-post assessment of …
remain lacking. In this paper, we address this gap by focusing on the ex-post assessment of …
Flood bend flow prediction in intermittent river reach using a 2D hydraulic model and stacking-ensemble-based LSTM technique
WD Guo, WB Chen, CH Chang - Earth Science Informatics, 2025 - Springer
Accurate prediction and analysis of flood bend flow in braided and intermittent river reaches
are essential for providing effective early warnings of flood-related damage to …
are essential for providing effective early warnings of flood-related damage to …