Works matching IS 0921030X AND DT 2023 AND VI 119 AND IP 1
Results: 29
RIPF-Unet for regional landslides detection: a novel deep learning model boosted by reversed image pyramid features.
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- Natural Hazards, 2023, v. 119, n. 1, p. 701, doi. 10.1007/s11069-023-06145-0
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Field reconnaissance and observations from the February 6, 2023, Turkey earthquake sequence.
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- Natural Hazards, 2023, v. 119, n. 1, p. 663, doi. 10.1007/s11069-023-06143-2
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Coseismic deformation of the 19 August 2018 M<sub>w</sub> 7.2 Lombok earthquakes, Indonesia, estimated through InSAR and GPS observations.
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- Natural Hazards, 2023, v. 119, n. 1, p. 545, doi. 10.1007/s11069-023-06142-3
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Factors influencing retweeting of local news media tweets during Hurricane Irma.
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- Natural Hazards, 2023, v. 119, n. 1, p. 583, doi. 10.1007/s11069-023-06140-5
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Insights into initiation of typhoon-induced deep-seated landslides in Southeast coastal China.
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- Natural Hazards, 2023, v. 119, n. 1, p. 721, doi. 10.1007/s11069-023-06138-z
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Developing hybrid XGBoost model integrated with entropy weight and Bayesian optimization for predicting tunnel squeezing intensity.
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- Natural Hazards, 2023, v. 119, n. 1, p. 751, doi. 10.1007/s11069-023-06137-0
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Influence of geogrid reinforcement on dynamic characteristics and response analysis of Panki pond ash.
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- Natural Hazards, 2023, v. 119, n. 1, p. 435, doi. 10.1007/s11069-023-06136-1
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An application of dynamic programming to local adaptation decision-making.
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- Natural Hazards, 2023, v. 119, n. 1, p. 523, doi. 10.1007/s11069-023-06135-2
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Effect of climate change on fire regimes in natural resources of northern Iran: investigation of spatiotemporal relationships using regression and data mining models.
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- Natural Hazards, 2023, v. 119, n. 1, p. 497, doi. 10.1007/s11069-023-06133-4
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Single-family housing inventory projection method for natural hazard risk modeling applications.
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- Natural Hazards, 2023, v. 119, n. 1, p. 409, doi. 10.1007/s11069-023-06132-5
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Entropy-weight-based spatiotemporal drought assessment using MODIS products and Sentinel-1A images in Urumqi, China.
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- Natural Hazards, 2023, v. 119, n. 1, p. 387, doi. 10.1007/s11069-023-06131-6
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A Fuzzy-AHP-based variable weight safety evaluation model for expansive soil slope.
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- Natural Hazards, 2023, v. 119, n. 1, p. 559, doi. 10.1007/s11069-023-06130-7
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- Article
Spatio-temporal characteristics of meteorological drought based on the MCI of Penman–Monteith.
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- Natural Hazards, 2023, v. 119, n. 1, p. 221, doi. 10.1007/s11069-023-06129-0
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A dynamic visualization based on conceptual graphs to capture the knowledge for disaster education on floods.
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- Natural Hazards, 2023, v. 119, n. 1, p. 203, doi. 10.1007/s11069-023-06128-1
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Satellite rainfall performance evaluation and application to monitor meteorological drought: a case of Omo-Gibe basin, Ethiopia.
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- Natural Hazards, 2023, v. 119, n. 1, p. 167, doi. 10.1007/s11069-023-06127-2
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Spatial understanding of historical and future landslide variation in Africa.
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- Natural Hazards, 2023, v. 119, n. 1, p. 613, doi. 10.1007/s11069-023-06126-3
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Detection of Tornado damage in forested regions via convolutional neural networks and uncrewed aerial system photogrammetry.
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- Natural Hazards, 2023, v. 119, n. 1, p. 143, doi. 10.1007/s11069-023-06125-4
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Temporal distribution model and occurrence probability of M ≥ 6.5 earthquakes in North China Seismic Zone.
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- Natural Hazards, 2023, v. 119, n. 1, p. 125, doi. 10.1007/s11069-023-06124-5
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Features of crevasse splay deposits and sedimentary processes associated with levee breaching due to the October 2019 flood of the Chikuma River, Central Japan.
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- Natural Hazards, 2023, v. 119, n. 1, p. 95, doi. 10.1007/s11069-023-06122-7
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Monitoring and prediction of landslide-related deformation based on the GCN-LSTM algorithm and SAR imagery.
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- Natural Hazards, 2023, v. 119, n. 1, p. 39, doi. 10.1007/s11069-023-06121-8
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Understanding household flood resilience in Tangerang, Indonesia, using a composite indicator method.
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- Natural Hazards, 2023, v. 119, n. 1, p. 69, doi. 10.1007/s11069-023-06120-9
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Hot and dry compound events in South America: present climate and future projections, and their association with the Pacific Ocean.
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- Natural Hazards, 2023, v. 119, n. 1, p. 299, doi. 10.1007/s11069-023-06119-2
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Compound heatwave and drought hotspots and their trends in Southeast Australia.
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- Natural Hazards, 2023, v. 119, n. 1, p. 357, doi. 10.1007/s11069-023-06115-6
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Insights into volcanic hazards and plume chemistry from multi-parameter observations: the eruptions of Fimmvörðuháls and Eyjafjallajökull (2010) and Holuhraun (2014–2015).
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- Natural Hazards, 2023, v. 119, n. 1, p. 463, doi. 10.1007/s11069-023-06114-7
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An exploratory research on the maturity level of public's emergency capability.
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- Natural Hazards, 2023, v. 119, n. 1, p. 325, doi. 10.1007/s11069-023-06111-w
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Improvement of flood susceptibility mapping by introducing hybrid ensemble learning algorithms and high-resolution satellite imageries.
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- Natural Hazards, 2023, v. 119, n. 1, p. 1, doi. 10.1007/s11069-023-06106-7
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Analyzing drought trends over Sindh Province, Pakistan.
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- Natural Hazards, 2023, v. 119, n. 1, p. 643, doi. 10.1007/s11069-023-06082-y
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Expert adoption of composite indices: a randomized experiment on migrant resettlement decisions in Bangladesh.
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- Natural Hazards, 2023, v. 119, n. 1, p. 261, doi. 10.1007/s11069-023-06056-0
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Pedestrian evacuation time calculation against tsunami hazard for southern coasts of Bodrum peninsula.
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- Natural Hazards, 2023, v. 119, n. 1, p. 243, doi. 10.1007/s11069-023-06034-6
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