Incorporating Spatial Information Into Ensemble Post-processing via Autoencoder Neural Networks
Sebastian Lerch (Karlsruhe Institute Of Technology), Kai Polsterer (Heidelberg Institute for Theoretical Studies)
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Self-supervised methods for joint SAR and multispectral land cover mapping
Antonio Montanaro (Politecnico Di Torino),Diego Valsesia (Politecnico di Torino), Giulia Fracastoro (Politecnico di Torino), Enrico Magli (Politecnico di Torino)
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Machine Learning Methods for Postprocessing Ensemble Forecasts of Wind Gusts: A Systematic Comparison
Benedikt Schulz (Karlsruhe Institute of Technology), Sebastian Lerch (Karlsruhe Institute of Technology)
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Comparing the significance of new data products from satellites containing night-time light and day-time aerosol information for air quality Prediction.
Ankit Didwania (Gujarat Technological University), Vibha Patel (Gujarat Technological University)
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Improvement of Ku-band Winds in Rainy Regions Obtained by a Support Vector Machine Method
Xingou Xu (National Space Science Center, Chinese Academy of Sciences), Ad Stoffelen (Royal Netherlands Meteorological Institute)
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S2S-Forecasting of Central European Winter Temperature Based on Quantile Random Forests
Selina Kiefer Karlsruhe (Institute For Technology)
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Automated Polynya Identification Tool (APIT)
James Hickson (ARGANS), Estrella Olmedo (Barcelona Expert Centre), Verónica Gonzalez (Barcelona Expert Centre), Diego Fernández (ESA)
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Feasibility Study of Real Time Oil Spill Tracking, Exploiting Dedicated AI On-Board Satellite
Gianluca Giuffrida (University Of Pisa), Lorenzo Diana (University of Pisa), Pietro Nannipieri (University of Pisa), Luca Fanucci (University Of Pisa)
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Multivariate Ensemble Post-Processing Using Generative Machine Learning Methods
Jieyu Chen (Karlsruhe Institute Of Technology), Sebastian Lerch (Karlsruhe Institute Of Technology)
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Prediction of Ocean Driven Antarctic Ice Shelf Melting Using Machine Learning
Sebastian Rosier (Northumbria University), Christopher Bull (Northumbria University)
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Estimating Industrial Greenhouse Gas Emissions from Satellite Imagery
Joëlle Hanna (University of St Gallen), Michael Mommert (University of St Gallen), Damian Borth (University of St Gallen)
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Post-Processing of NWP Model Output by Machine Learning Algorithms for Severe Weather Forecasting
Antonio Vocino (COMET - Italian Air Force Meteorological Centre), Francesca Marcucci (COMET - Italian Air Force Meteorological Centre), Raffaele Golino (Geo-K), Fabio Del Frate (Tor Vergata University)
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AiTLAS: Artificial Intelligence Toolbox for Earth Observation
Dragi Kocev (Jozef Stefan Institute), Ivica Dimitrovski (Bias Variance Labs, Jozef Stefan Institute), Ivan Kitanovski (Bias Variance Labs, Jozef Stefan Institute), Panče Panov (Jozef Stefan Institute, Bias Variance Labs), Nikola Simidjievski (Bias Variance Labs, University of Cambridge)
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Combining Airborne LiDAR and Sentinel-2 Data for the Classification of Amazonian Secondary Forests and Calculation of Carbon Stocks in different Successional Stages
Leonard Pfaff (Karlsruher Institut Für Technologie), Yhasmin Mendes de Moura (Karlsruher Institut Für Technologie), Fabian Faßnacht (Karlsruher Institut Für Technologie), Camila Silva (IPAM), Ricardo Dalagnol (INPE), Lenio Galvao (INPE)
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Deep Learning in Space: The Big Data Problems or Big Problems with Data?
Jakub Nalepa (KP Labs)
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Deep Learning weather uncertainty quantification for EO satellite mission planning
Jonathan Guerra (Airbus Defence & Space), Mathieu Picard (Airbus Defence & Space)
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Digital Mapping of Soil Organic Matter Using Open Source Accessible Products of ESA® in Arable Plain
Fuat Kaya Isparta (Isparta University Of Applied Sciences Faculty Of Agriculture Department Of Soil Science And Plant Nutrition), Levent BAŞAYİĞİT (Isparta University Of Applied Sciences Faculty Of Agriculture Department Of Soil Science And Plant Nutrition)
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Enhancing the Maritime Monitoring by Deep Learning
Maria Daniela Graziano (University of Naples Federico II), Roberto Del Prete (University of Naples Federico II), Alfredo Renga (University of Naples Federico II),
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Satellite Tracking & Monitoring using Orbitshub ACCAT Systems
Divya Krishnamoorthy (Orbitshub)
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AI Ecosystem for Energy Meteorology, Optimization of Renewable Energy Applications and Power Forecasts
Anton Kaifel (ZSW), Martin Felder (ZSW), Frank Sehnke (ZSW), Linda Menger (ZSW), Kay Ohnmeiß (ZSW)
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High-resolution soil moisture retrieval from remote sensing microwave observations
Grigorios Tsagkatakis (Forth), Mahta Moghaddam (University of Southern California), Panagiotis Tsakalides (Forth)
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FloodSENS: Flood Segmentation in Partially Clouded Optical Satellite Images
Ben Gaffinet (RSS-Hydro), Ron Hagensieker (osir.io), Laura Giustarini (RSS-Hydro), Guy Schumann (RSS-Hydro)
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Training Dataset Requirements for Cloud Masking
Carsten Brockmann (Brockmann Consult GmbH), Jan Wevers (Brockmann Consult GmbH)
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Daily to Sub-daily precipitation downscaling based on multiple datasets using artificial neural networks in Brazil
Rogerio Batista (Inpe), Alan Calheiros (Inpe)
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Intelligent Dashboard of the Celestial Meteor CAMS Data
Julia Nguyen (SpaceML), Chicheng Ren
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Assessment of Methane Mitigation Potential of Large Oil and Gas Leaks
Clément Giron (Kayrros), Thomas Lauvaux (University de Saclay), Alexandre D'Aspremont (Kayrros, CNRS), Riley Duren (University of Arizona, Carbon Mapper) Daniel Cusworth (Jet Propulsion Laboratory) |
It's a Bird, It's a Plane, It's a Meteor!
Surya Ambardar (Student), Siddha Ganju (NVIDIA), Peter Jenniskens (SETI Institute)
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Satellite Image Simulation by Neural Networks Based on RTTOV Radiative Transfer Model
Tom Cocogne (French Satellite Meteorology Research Centre)
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