EGU24-2658 | ECS | Orals | MAL17-ESSI | ESSI Division Outstanding Early Career Scientist Award Lecture
X-informatics at the center of scientific discovery: Detecting biosignatures, predicting mineral occurrences, and characterizing planetary kinds.EGU24-4562 | Orals | MAL17-ESSI | Ian McHarg Medal Lecture
The central role of geoscience data standards in generating new knowledgeESSI1 – Next-Generation Analytics for Scientific Discovery: Data Science, Machine Learning, AI
EGU24-1651 | ECS | Orals | ESSI1.1
AtmoRep: large scale representation learning for atmospheric dynamicsEGU24-3202 | Orals | ESSI1.1 | Highlight
Foundation Models for Science: Potential, Challenges, and the Path ForwardEGU24-6107 | ECS | Orals | ESSI1.1
A multi-modal high spatial resolution aerial imagery scene classification model with visual enhancementEGU24-10914 | Posters virtual | ESSI1.1
Efficient adaptation of Foundation Models for Visual Grounding Remote Sensing taskEGU24-22461 | Posters on site | ESSI1.1
Pretraining a foundation model using MODIS observations of the earth’s atmosphereEGU24-20025 | ECS | PICO | ESSI1.3
Vineyard detection from multitemporal Sentinel-2 images with a Transformer modelEGU24-7635 | Posters on site | ESSI1.4
iMagine, AI-supported imaging data and services for ocean and marine scienceEGU24-9729 | ECS | Orals | ESSI1.4
Urban 3D Change Detection with Deep Learning: Custom Data Augmentation TechniquesEGU24-10034 | Orals | ESSI1.4
Operationalize large-scale point cloud classification: potentials and challengesEGU24-12472 | ECS | Posters on site | ESSI1.4
Building hierarchical use classification based on multiple data sources with a multi-label multimodal transformer networkEGU24-12745 | ECS | Posters on site | ESSI1.4
Mapping the extent and land use intensity of shifting cultivation with Planet Scope imagery and deep learning in the Democratic Republic of CongoEGU24-15347 | ECS | Posters on site | ESSI1.4
Estimating Crop Phenology from Satellite Data using Machine LearningEGU24-18546 | Posters on site | ESSI1.4
A novel index for forest structure complexity mapping from single multispectral imagesEGU24-18679 | ECS | Posters on site | ESSI1.4
Large-scale satellite mapping unveils uneven wetland restoration needs across EuropeEGU24-19198 | ECS | Posters on site | ESSI1.4
Learning-Based Hyperspectral Image Compression Using A Spatio-Spectral ApproachEGU24-1494 | Posters on site | ESSI1.5
The coronal braiding structures detected in the machine-learning upscaled SDO/AIA imagesEGU24-1604 | ECS | Orals | ESSI1.5
Machine Learning Synthesis and inversion method for Stokes Parameters in the solar contextEGU24-2046 | ECS | Posters on site | ESSI1.5
Comparative Analysis of Random Forest and XGBoost in Classifying Ionospheric Signal Disturbances During Solar FlaresEGU24-4471 | ECS | Orals | ESSI1.5
Solar Wind Speed Estimation via Symbolic Knowledge Extraction from Opaque ModelsEGU24-6558 | ECS | Orals | ESSI1.5
A New Machine Learning Approach for Predicting Extreme Space WeatherEGU24-8018 | Posters on site | ESSI1.5
Enhancement of the NEARBY automated asteroid detection platform with a machine learning-based classifierEGU24-9174 | ECS | Orals | ESSI1.5
Enhancing Space Mission Return through On-Board Data Reduction using Unsupervised Machine LearningEGU24-10715 | ECS | Posters on site | ESSI1.5
Physics-driven feature combination for an explainable AI approach to flare forecastingEGU24-12961 | ECS | Posters on site | ESSI1.5
Physics-informed neural networks for advanced solar magnetic field extrapolationsEGU24-14186 | Posters on site | ESSI1.5
Near real-time construction of Solar Coronal Parameters based on MAS simulation by Deep LearningEGU24-15981 | ECS | Posters on site | ESSI1.5
Addressing the closure problem using supervised Machine LearningEGU24-18534 | ECS | Posters on site | ESSI1.5
Visualizing three years of STIX X-ray flare observations using self-supervised learningEGU24-19248 | Posters on site | ESSI1.5
Segmentation and Tracking of Solar Eruptive Phenomena with Convolutional Neural Networks (CNN)EGU24-19558 | Orals | ESSI1.5
Comparative Analysis of Data Preprocessing Methods for Precise Orbit DeterminationEGU24-21463 | ECS | Posters on site | ESSI1.5
A machine learning approach to meteor light curve analysisEGU24-566 | ECS | Orals | HS3.4
A Transformer-Based Data-Driven Model for Real-Time Spatio-Temporal Flood PredictionEGU24-571 | ECS | Posters on site | HS3.4
Hydrological Significance of Input Sequence Lengths in LSTM-Based Streamflow PredictionEGU24-811 | ECS | Orals | HS3.4
A deep learning approach for spatio-temporal prediction of stable water isotopes in soil moistureEGU24-2872 | ECS | Posters on site | HS3.4
Runoff coefficient modelling using Long Short-Term Memory (LSTM) in the Rur catchment, GermanyEGU24-2939 | ECS | Orals | HS3.4
Probabilistic streamflow forecasting using generative deep learning modelsEGU24-6846 | ECS | Orals | HS3.4
Towards Fully Distributed Rainfall-Runoff Modelling with Graph Neural NetworksEGU24-7186 | Posters on site | HS3.4
Exploring How Machines Model Water Flow: Predicting Small-Scale Watershed Behavior in a Distributed SettingEGU24-8102 | ECS | Orals | HS3.4
Improving the Generalizability of Urban Pluvial Flood Emulators by Contextualizing High-Resolution PatchesEGU24-9446 | ECS | Orals | HS3.4
Skilful prediction of mid-term sea surface temperature using 3D self-attention-based neural networkEGU24-9573 | ECS | Posters on site | HS3.4
Advancing Streamflow Modelling: Bias Removal in Physically-Based Models with the Long Short-Term Memory Networks (LSTM) AlgorithmEGU24-11506 | ECS | Posters on site | HS3.4
Forecasting reservoir inflows with Long Short-Term Memory modelsEGU24-11768 | ECS | Posters on site | HS3.4
High-Efficiency Rainfall Data Compression Using Binarized Convolutional AutoencoderEGU24-12293 | ECS | Posters on site | HS3.4
Towards improved spatio-temporal selection of training data for LSTM-based flow forecasting models in Canadian basinsEGU24-14765 | ECS | Posters virtual | HS3.4
Optimizing Groundwater Forecasting: Comparative Analysis of MLP Models Using Global and Regional Precipitation DataEGU24-15248 | ECS | Orals | HS3.4
Estimation of Small Stream Water Surface Elevation Using UAV Photogrammetry and Deep LearningEGU24-16234 | ECS | Posters on site | HS3.4
A bottom-up approach to identify important hydrological processes by evaluating a national scale EA-LSTM model for DenmarkEGU24-17502 | ECS | Posters on site | HS3.4
Towards improved Water Quality Modelling using Neural ODE modelsEGU24-18073 | ECS | Orals | HS3.4
Operational stream water temperature forecasting with a temporal fusion transformer modelEGU24-18154 | ECS | Orals | HS3.4
Can Blended Model Improve Streamflow Simulation In Diverse Catchments ?EGU24-18762 | Orals | HS3.4
Benchmarking hydrological models for national scale climate impact assessmentEGU24-20907 | Orals | HS3.4
Revolutionizing Flood Forecasting with a Generalized Deep Learning ModelEGU24-2267 | ECS | Posters on site | HS3.9
A grid-based data-driven ensemble probabilistic data fusion: a water balance closure approach applied to the irrigated Hindon River Basin, IndiaEGU24-2300 | ECS | Posters on site | HS3.9
Representing systematic and random errors of eddy covariance measurements in suitable likelihood models for robust model selectionEGU24-5219 | ECS | Posters on site | HS3.9
Quantifying Uncertainty in Surrogate-based Bayesian InferenceEGU24-7610 | Posters on site | HS3.9
Parameter estimation of heterogeneous field in basin scale based on signal analysis and river stage tomographyEGU24-10517 | Orals | HS3.9
Lock-ins and path dependency in evaluation metrics used for hydrological modelsEGU24-10770 | Orals | HS3.9 | Highlight
Uncertainty and sensitivity analysis: new purposes, new users, new challengesEGU24-11414 | ECS | Posters on site | HS3.9
Single vs. multi-objective optimization approaches to calibrate an event-based conceptual hydrological model using model output uncertainty framework.EGU24-13393 | ECS | Posters on site | HS3.9
Datasets and tools for local and global meteorological ensemble estimationEGU24-16361 | ECS | Orals | HS3.9
Estimating prior distributions of TCE transformation rate constants from literature dataEGU24-18804 | ECS | Orals | HS3.9
Accelerating Hydrological Model Inversion: A Multilevel Approach to GLUEEGU24-19966 | Orals | HS3.9
Operational Sensitivity Analysis for Flooding in Urban Systems under UncertaintyEGU24-451 | ECS | Posters on site | HS3.5
Multivariate multi-horizon streamflow forecasting for extremes and their interpretation using an explainable deep learning architectureEGU24-2211 | ECS | Posters on site | HS3.5
Staged Learning in Physics-Informed Neural Networks to Model Contaminant Transport under Parametric UncertaintyEGU24-2850 | ECS | Orals | HS3.5
Development of a Distributed Physics-informed Deep Learning Hydrological Model for Data-scarce RegionsEGU24-3028 | Orals | HS3.5 | Highlight
Spatial sensitivity of river flooding to changes in climate and land cover through explainable AI