Glacial Isostatic Adjustment modelling of the mid-Holocene sea-level highstand of Singapore and Southeast Asia
https://doi.org/10.31223/X5R37X #EarthSciences #Mid-holoceneHighstand;GlacialIsostaticAdjustment;SoutheastAsia;Sensitivity;TreasureMap;Preservation.
Does Productive Safety Net Program Enhance Livelihoods? Insights from Vulnerable Households in Wolaita Zone, Ethiopia
https://doi.org/10.31223/X5VT0F #Agriculture #Livelihood #TreatmentEffectsModel #ProductiveSafetyNetProgram #Impact #Ethiopia
Tectonic-metamorpic evolution of the Cretaceous Kluane Schist, southwest Yukon
https://doi.org/10.31223/X50M3R #PhysicalSciencesAndMathematics #BuchanMetamorphism #PhaseEquilibriaModelling #NorthAmericanCordillera #MetamorphicFieldGradient #InsularTerraneAccretion #WaterActivity
State-Level Multidimensional Agricultural Drought Susceptibility and Risk Assessment for Agriculturally Prominent Areas
https://doi.org/10.31223/X5495N #Education #AgriculturalDroughtVulnerability #RiskAssessment #AgriculturalSusceptibility #DroughtExposure
Development and validation of an Alaskan coupled storm surge, tide, wind wave, and sea ice forecasting system
https://doi.org/10.31223/X5837K #CivilAndEnvironmentalEngineering #StormSurge #SeaIce #WindWave #ForecastingSystem #Tide
Ferric iron in magmatic clinopyroxene, Part I: re-evaluating stoichiometric estimates of iron valence with implications for clinopyroxene componentry
https://doi.org/10.31223/X5CT03 #Geochemistry #Clinopyroxene #FerricIron #Stoichiometry #OxygenFugacity
Applying Machine Learning to Characterize and Transport the Relationship Between Seismic Structure and Surface Heat Flux
https://doi.org/10.31223/X5HM21 #GeophysicsAndSeismology #Glaciology #HeatFlow #SeismicTomography #MachineLearning #HeatGenerationAndTransport #Glaciology #Antarctica
Small data problems in deep learning applications with remote sensing: A review
https://doi.org/10.31223/X52H3B #ArtificialIntelligenceAndRobotics #OtherEarthSciences #RemoteSensing #CrossValidation #EnsembleLearning #Multi-taskLearning #WeaklySupervisedLearning #ActiveLearning #Semi-supervisedLearning #TransferLearning #Process-awareAi #Self-supervisedLearning #Zero-shotLearning #Few-shotLearning #UavImagery #DeepLearning #MachineLearning #DataSparsity #LimitedAnnotatedData #LimitedLabeledData #LimitedSampleSize #Process-awareAi #Self-supervisedLearning #Zero-shotLearning #Few-shotLearning #UavImagery #DeepLearning #MachineLearning #RemoteSensing #LimitedAnnotatedData #LimitedLabeledData #LimitedSampleSize
Ferric iron in magmatic clinopyroxene, Part II: iron valence systematics in clinopyroxene crystals from ocean island basalts with implications for oxybarometry
https://doi.org/10.31223/X5N959 #Geochemistry #Clinopyroxene #FerricIron #OceanIslandBasalt #OxygenFugacity
Geochemistry, classification characteristics and mineralization potential of Pegmatites from Oke Ode, Kwara-State, Northeastern, Nigeria: implications for provenance and weathering history
https://doi.org/10.31223/X5S09Z #PhysicalSciencesAndMathematics
Automated finding, segmenting, and measuring of grains in images of fluvial sediments – the potential of transfer learning in deep neural networks
https://doi.org/10.31223/X51H31 #EarthSciences #PhysicalSciencesAndMathematics #GrainSize #ImageSegmentation #MachineLearning #NeuralNetwork #FluvialGravel #SedimentAnalysis
Innovating and networking global geochemical data resources through OneGeochemistry
https://doi.org/10.31223/X5595Z #Biogeochemistry #Cosmochemistry #DatabasesAndInformationSystems #Geochemistry #Geology #PlanetaryBiogeochemistry #PlanetaryGeochemistry #PlanetaryGeology #Volcanology #Geochemistry #Data #Standardisation #Modelling #Vision #Cosmochemistry
Flood Sequence Mapping with Multimodal Remote Sensing Under the Influence of Dense Vegetation: Mississippi River Case Study
https://doi.org/10.31223/X5909M #CivilAndEnvironmentalEngineering #CivilEngineering #HydraulicEngineering #MultimodalRemoteSensing #FloodMapping #Quantile-basedCorrection #Geo-topoAnalysis
Physical vulnerability curve construction and quantitative risk assessment of a typhoon-triggered debris flow via numerical simulation: A case study of Zhejiang Province, SE China
https://doi.org/10.31223/X5DT1S #EarthSciences #Typhoon-triggeredDebrisFlow;PhysicalVulnerabilityCurve;NumericalSimulation;QuantitativeRiskAssessment
Physical vulnerability curve construction and quantitative risk assessment of a typhoon-triggered debris flow via numerical simulation: A case study of Zhejiang Province, SE China
https://doi.org/10.31223/X5DT1S #EarthSciences #Typhoon-triggeredDebrisFlow;PhysicalVulnerabilityCurve;NumericalSimulation;QuantitativeRiskAssessment
From space-time landslide susceptibility to landslide risk forecast
https://doi.org/10.31223/X5XT1F #EarthSciences #OtherEarthSciences #PhysicalSciencesAndMathematics #Space-timeStatistics;DynamicLandslideSusceptibility;LandslideRisk;FutureProjections
Better Localized Predictions with Out-of-Scope Information and Explainable AI: One-Shot SAR Backscatter Nowcast Framework with Data from Neighboring Region
https://doi.org/10.31223/X5P95M #CivilEngineering #Engineering #GeotechnicalEngineering #HydraulicEngineering #Sar #DeepLearning #RemoteSensing #ImageSynthesis #ExplainableAi
Projected Changes in Hot, Dry and Compound Hot-Dry Extremes over Global Land Regions
https://doi.org/10.31223/X5T08W #AtmosphericSciences #Climate #Meteorology #OceanographyAndAtmosphericSciencesAndMeteorology #PhysicalSciencesAndMathematics #HotDryExtremes #CompoundEvents #Cmip6 #Projections
From space-time landslide susceptibility to landslide risk forecast
https://doi.org/10.31223/X5XT1F #EarthSciences #OtherEarthSciences #PhysicalSciencesAndMathematics #Space-timeStatistics;DynamicLandslideSusceptibility;LandslideRisk;FutureProjections
Small data problems in deep learning applications with remote sensing: A review
https://doi.org/10.31223/X52H3B #ArtificialIntelligenceAndRobotics #OtherEarthSciences #RemoteSensing #CrossValidation #EnsembleLearning #Multi-taskLearning #WeaklySupervisedLearning #ActiveLearning #Semi-supervisedLearning #TransferLearning #Process-awareAi #Self-supervisedLearning #Zero-shotLearning #Few-shotLearning #UavImagery #DeepLearning #MachineLearning #DataSparsity #LimitedAnnotatedData #LimitedLabeledData #LimitedSampleSize #Process-awareAi #Self-supervisedLearning #Zero-shotLearning #Few-shotLearning #UavImagery #DeepLearning #MachineLearning #RemoteSensing #LimitedAnnotatedData #LimitedLabeledData #LimitedSampleSize
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