Wednesday 18 June

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Imperial Patio

1. Geospatial foundation models for wildfire detection in the UK​. Remy Vandaele (University of Exeter); Hywel Williams (University of Exeter); Edward Pope (Met Office); Chunbo Luo (University of Exeter)
2. MorphoAI: A Unified AI Toolkit for Advanced Geomorphological Form and Process Modelling. Joseph Paulo (University of Exeter)
3. OS GeoFoundation model – Training, Evaluation and lessons learned. Steven Coupland (Ordnance Survey)

Amory Building, Parker Moot room

Amory Building, Parker Moot room

• AI and Remote Sensing for Climate Risk Assessment in Coastal Oil-Producing Regions. Amarachi Agiri (University of Aberdeen)
• Mapping Cecropia distribution to detect small scale disturbance and adjust biomass estimates for early successional stages in the Amazon. Scott Barningham (University of Exeter), Lina Mercado (University of Exeter), Stephen Sitch (University of Exeter), Michael O’Sullivan (University of Exeter), Luiz Aragao (National Institute for Space Research), J.P. Wigneron (Université de Bordeaux), Philippe Ciais
• MTF Estimation Without Ground Truth: A Machine Learning Approach for Satellite Image Quality Assessment. Ayhane Benbouzid (Algerian Space Agency - ASAL) 
• Towards autonomy for unoccupied aerial systems in UN Sustainable Development Goals: Liana mapping for SDG 15. Matthew Causon (University of Nottingham)
• Sentinel Classifier. Haoyang Cui (UCL)
• Neural Compression for Hyperspectral Imaging using Mamba. Joshua Dare-Cullen (University of Exeter), Chunbo Luo (University of Exeter)
• A Sentinel-3 foundation model for marine applications. Geoffrey Dawson (IBM); Remy Vandaele (University of Exeter); David Moffat (PML); Andrew Taylor (STFC); Sarah Jackson (STFC); Helen Tamura-Wicks (IBM); Paolo Fraccaro (IBM); Hywel Williams (University of Exeter); Chunbo Luo (University of Exeter); Anne Jones (IBM)
• ClimaCast: Time-Series Forecasting of Surface Temperature Trends Using LSTM Networks for Climate Change Analysis. Chethan Gowda Shashi Kumar (Exeter)
• Enhancing the accessibility of Earth Observation data using Large Language Models: A case study with the Living Wales datacube. Oscar Hountondji (University of Exeter); Hywel Williams (University of Exeter); Daniel Clewley (Plymouth Marine Laboratory); Emmanuel Nwokocha ( Plymouth Marine Laboratory)
• Bayesian Machine Learning Model for Forecasting Healthcare Demand in Climate-Driven Surges in Kenya. Nectarios Keane Nugroho (University of Exeter); Tinkle Chugh (Department of Computer Science, University of Exeter); Matt Fortnam (University of Exeter); Theo Economou (University of Exeter)
• AI-Based Real-Time Monitoring Framework for Distributed Systems: Enhancing Performance and Anomaly Detection. Aafreen Khan (Chandigarh University); Abhyudya Bhardwaj (Chandigarh University); Mohit Chaudhary (Chandigarh University); Vasu Mehandiratta (Chandigarh University)
• Beyond Segmentation: A Change Detection Framework for Oil Spill Detection Using Synthetic SAR Imagery. Chenyang Lai (University of Exeter); Shuaiyu Chen (University of Exeter); Zeyu Fu (University of Exeter)
• Use of AI and Earth Observation in Quantifying Plume of Emissions from Landscape Fires. Zitong Li (King's College London); Martin Wooster (King's College London)
• Remote sensing scene classification using Broad Learning System and Vision Transformer. Zishu Liu (University of Exeter)
• When machine learning meets Earth observations. Chunbo Luo (University of Exeter)
• A remote-sensing-driven adaptive spatio-temporal control design for crop pests. Markus Mueller (University of Exeter)
• Comparison of Machine Learning Classifiers to Assess Landscape Dynamics and Their Relationship with Land Surface Temperature, Topography, and Socioeconomic Variables. Ahtsham Mustafa Awan (National University of Sciences and Technology Islamabad), Javed Iqbal (National University of Sciences and Technology Islamabad)
• A Landslide Motion Detection System Based on IMU Sensors and Unsupervised Learning. Kate Newby (University of Exeter, Faculty of Environment, Science and Economy, Department of Geography); Hanyu Ouyang (University of Exeter); Chaojin Mao (University of Exeter, Faculty of Environment, Science and Economy, Department of Computer Science); Chunbo Luo (University of Exeter, Faculty of Environment, Science and Economy, Department of Computer Science); Georgie Bennett (University of Exeter, Faculty of Environment, Science and Economy, Department of Geography); Kyle Roskilly (University of Exeter, Faculty of Environment, Science and Economy, Department of Geography)
• Leveraging Deep Learning to Enhance Invasive Insect Surveillance. Thomas O'Shea-Wheller (University of Exeter)
• A machine learning approach for improved mapping of Coastal cliff erosion. Steven Palmer (University of Exeter)
• Mapping African Baobabs using U-Net modelling with Worldview 3, Sentinel-2, PlanetScope optical imagery. Chafika Phiri (University of Exeter), Andy Cunliffe (University of Exeter), Sarah Venter (Baobab Foundation), David Hodgson (University of Exeter), Dawn Toussaint (Few and Far Collections), and Hugh Graham (University of Exeter)
• Using LiDAR Output to Identify Atmospheric Rotors: A Convolutional Neural Network Approach. Steve Ramsdale (Met Office)
• AI4Peat - Using AI to map surface drainage features in peatlands. Samuel Richardson (Natural England); Michelle Johnson (Natural England); Nicholas Tomline (Natural England); Martha Tabor (Defra)
• Complex dynamical insights to cities co movements through air quality interplay in urban spaces. Syed Shariq Husain (OP Jindal Global University)
• Physics-Informed Neural Networks for Cloud Fraction Prediction: a novel gradient constrained approach in Machine Learning. Morgan Sparey (University of Exeter)
• NERC Platforms and Services supporting Machine Learning in Environmental Research. Ag Stephens (STFC CEDA)
• Soil carbon predictions across the landscape using remotely- sensed canopy structure measurements in southern Amazonia. Jessica Thomas (University of Exeter ); Andy Cunliffe (University of Exeter); Hugh Graham (Permian Global, 3 Cavendish Square, London, W1G 0LB, United Kingdom); Tom Powell (University of Exeter); Plinio Camargo (3University of São Paulo, Center for Nuclear Energy in Agriculture, Laboratory of Isotopic Ecology); Ted Feldpausch (University of Exeter)
• Deep Learning for Habitat Classification in England Using Ecologist-Captured Imagery and Metadata. Mahdis Tourian (University of Exeter)
• Cross-Scene UAV Hyperspectral Image Classification for Coastal Wetlands: Bridging Label Scarcity and Domain Shifts. Ziqi Xin (University of Exeter), Zhongwei Li (China University of Petroleum), Chunbo Luo (University of Exeter)
• A Fine-tuning Pipeline for Extreme Precipitation Prediction. Zhou Zhou (University of Exeter)