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  • session 3

    Title

    AI for Climate Adaptation and Resilience

    type

    interactive

    Description

    Artificial Intelligence, Machine Learning, Climate Modelling, Predictive Analytics, Data-Driven Decision Making, Remote Sensing Technologies, Smart Agriculture, Disaster Response Planning, Climate Risk Assessment, Ecosystem Management, Urban Resilience, AI-Enhanced Monitoring, Climate Simulation, Big Data in Climate Science.

    papers

    Paper title

    Mode

    Presentation status

    Speaker

    Affiliation

    Country

    explainable ai for climate-resilient space operations: a framework for trust and oversight in high-stakes decision-making

    10

    Ms. Chau Nguyen

    University of Northampton

    Vietnam

    Geospatial Intelligence and AI for Combating Illegal Deforestation, Land Encroachment, and Unsustainable Land Use.

    10

    confirmed

    Mr. Moise IRADUKUNDA

    Rwanda

    Governing Satellite Data and Predictive AI Models for Climate-Smart Agriculture in Africa: Principles for a Framework for Responsible Earth Observation Decision-Making

    10

    Ms. Anna (Ania) Boukina

    Institute of Air and Space Law, McGill University

    Canada

    Hybrid TinyML model for nitrogen dioxide prediction using Sentinel-5P satellite imagery and local data

    10

    Mr. Julio Cesar Tello Rojas

    Universidad Nacional Mayor de San Marcos

    Peru

    Integrating climate data tools in international agreements

    10

    Ms. Aline McNaull

    United States

    Integrating Satellite and Drone Data for Enhanced Crop-Type Mapping Using Multi-Scale Fusion

    10

    Mr. Alexis Ngoga

    Carnegie Mellon University

    Rwanda

    leveraging artificial intelligence and satellite data for predicting climate-driven disease outbreaks in sub-Saharan Africa

    10

    Ms. Precious Wafula

    Kenya

    Unlocking Urban Solar Potential: A Weighted Ensemble DL Framework for Granular RPV Inventory and Energy Yield Analysis in Pakistan

    10

    withdrawn

    Mr. Muhammad Kamran Lodhi

    School of Transportation Science and Engineering, Beihang University, Beijing, 100191, PR China

    China

    Urban and Ecological Resilience: AI and Remote Sensing for Wildfire Prediction and Carbon Assessment

    10

    Dr. Raja Munusamy

    India

    Using the Relative Productivity Index to assess how governance structures and local community engagement influence rangeland health outcomes.

    10

    Mr. Isaac Mureithi

    University of Exeter

    United Kingdom

    adaptive temporal learning for operational solar energy forecasting

    10

    Ms. Meenakshi Tomar

    Azista BST Aerospace

    India

    AgriTech Advisor: ai-powered farming for climate resilience in rwanda

    10

    Mr. GANZA KARAMBIZI AXEL

    Rwanda

    AI and Satellite-Based Early Detection of Bayoud Disease in Moroccan Date Palms

    10

    Mr. Bendjedid Rachad Sanoussi

    Space Generation Advisory Council (SGAC)

    Morocco

    AI-Driven Adaptive Climate Management for Airport Terminals: A Public-Private Pathway to Energy Resilience

    10

    Dr. Andrea Carrabba

    Italian National Aviation Authority (ENAC)

    Italy

    AI-Driven Robotic Servicing for Climate Observation Satellite Constellations

    10

    confirmed

    Mr. Carlos Daniel Morales Ramirez

    Space Generation Advisory Council (SGAC)

    Colombia

    AI-Driven Satellite Monitoring for Climate-Resilient Agriculture: A Case Study from Kiambu County, Nairobi Region

    10

    Mr. Magati Onyiego

    University of Nairobi

    Kenya

    AI-Driven Sentiment Analysis for Understanding Global Climate Change Discourse on Social Media

    10

    Mr. Zia Ul Rehman Zafar Zafar Iqbal

    other

    Indonesia

    AI-Driven Verification Framework for Carbon Credits

    10

    confirmed

    Ms. Akanksha Bhagat

    University of Mumbai

    India

    Mapping and Predicting Land Use Change in Semi-Arid Tanzania Using Random Forest and CA-Markov Models: Implications for Potential Loss and Damage

    10

    Ms. UPENDO ERNEST LYIMO

    Tanzania, United Republic of

    Mapping cocoa landscapes in Ghana using high-resolution remote sensing data and machine learning models for climate-smart agriculture

    10

    Mr. Matthew Abutunghe

    University of Southampton

    United Kingdom

    Multi-Agent Digital Twins for Predicting Climate-Driven Infrastructure Failures

    10

    confirmed

    Mr. Ilkin Abdullayev

    Azerbaijan State Oil and Industry University (SABAH Groups)

    Azerbaijan

    Orbital to Overhead: Spacept’s Global Voxel Transformer Operator approach for Climate-Resilient Energy Infrastructure

    10

    Mr. Sergiu Iliev

    Carnegie Mellon University

    Romania

    Spatiotemporal Graph Neural Networks for Predictive Modeling of Compound Climate Extremes and Cascading Risks

    10

    confirmed

    Mr. Zaman Kazimov

    Azerbaijan State Oil and Industry University (ASOIU)

    Azerbaijan

    System for detecting and monitoring pollution in water bodies based on AI and remote sensing in Peru

    10

    Mr. Dante Arhon Rojas Palacios

    Universidad Nacional Mayor de San Marcos

    Peru

    Textural Feature Enhanced DEM Super Resolution

    10

    Mr. Gustave Bwirayesu

    Carnegie Mellon University

    Rwanda

    Towards Granular and Interpretable Spacecraft Fault Detection: A Hybrid Machine Learning Framework Leveraging PMON, Time-Series Features, and Markovian Dynamics

    10

    Mr. Amit Bhoyar

    Politecnico di Torino

    Italy

    AI-Enabled Satellite Analytics for Climate Resilience in Sub-Saharan Africa

    10

    Mr. Elisha Kidenge

    Egerton University

    Kenya

    AI-Enhanced Environmental Monitoring and Early Warning System for Climate Resilience in the Peruvian Highlands

    10

    Ms. Marisol Ramos Camacho

    Universidad Nacional Mayor de San Marcos

    Peru

    AI-Enhanced Fusion of Radar and Optical Data for Multi-Scale Climate and Agricultural Monitoring

    10

    Mr. Christian Pfaab

    University of Bremen

    Germany

    An Integrated Satellite Data Utilization AI framework for Climate Preparedness in Africa

    10

    Ms. Poni Henry

    Makerere University

    Uganda

    ClimateAccess: AI for Inclusive and Low-Carbon Cities

    10

    Mr. TAHA ARBEN VURGUN

    Turkish Technology Team Foundation

    Türkiye

    Coastal Digital Twin for Climate Resilience: Integrating Space Technologies, IoT, and GeoAI to Mitigate El Niño Impacts

    10

    Ms. Marisol Ramos Camacho

    Universidad Nacional Mayor de San Marcos

    Peru

    Developing a Virtual Laboratory for Climate Adaptation with the AI-Powered UDENE Tool

    10

    Mr. Oguz Deniz

    Türkiye

    Earth Observation and Geospatial AI for Climate-Resilient Urbanization: A Digital Twin Approach to Infrastructure Equity in Sub-Saharan African Informal Settlements

    10

    Mr. Emmanuel Okello Otieno

    Sapienza University of Rome

    Italy

    Digital Twin for Climate-Resilient Agriculture

    10

    Ms. Akanksha Bhagat

    University of Mumbai

    India

    Harnessing Artificial Intelligence and Space-Based Technologies for Climate Adaptation and Resilience: Pathways for Inclusive and Sustainable Transformation.

    10

    Mrs. Mutavu Sonia Nyagatare

    Germany

    prediction and uncertainty quantification of drought in north benin

    10

    Mr. Bernardin LIGAN

    Morocco

    Towards High-Resolution Mapping in Data-Poor Environments to Support Resilient Agriculture in Africa

    10

    Mr. Kora SIMPEREGUI

    Ghana