GeoAI for Sustainable Development

1st International Conference (GeoAI4SD 2026)
Within the framework of DTT4SD

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DTT4SD

Advancing Digital Twin Technology for Sustainable Development through innovative education, industry collaboration, and real-world digital solutions.

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Co-funded by
the European Union

Supporting innovation, digital transformation, and sustainable development through international collaboration and education.

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Conference Preamble

GeoAI4SD 2026 is an international conference organized by the Institut Agronomique et Vétérinaire Hassan II (IAV Hassan II) within the framework of the DTT4SD project , co-funded by the European Union.

The conference brings together researchers, academics, professionals, doctoral students, and decision-makers to explore the role of Geospatial Artificial Intelligence (GeoAI) in advancing sustainable development.

The conference will be held in a fully online format, enabling international participation and virtual scientific exchange.

Key topics include environmental monitoring, climate action, sustainable cities, agriculture, food security, water management, and digital innovation for sustainability.

July 8, 2026

Keynote sessions and invited international speakers.

July 9, 2026

Doctoral research presentations and scientific discussions.

Important Dates

Key deadlines for authors and participants of GeoAI4SD 2026.

Call for Papers Opens

April 15, 2026

Paper Submission Deadline

May 30, 2026

Extended to June 26, 2026

Notification of Acceptance

June 29, 2026

Camera-Ready Submission

July 3, 2026

Registration Deadline

July 4, 2026

Conference Dates

July 8–9, 2026

Conference Programme

Programme of GeoAI4SD 2026

Day 1 – July 8, 2026

All session times are displayed in Morocco Standard Time (GMT+1).

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Time	Activity
Opening Ceremony
09:00 – 09:10	Welcome address by the Director of IAV Hassan II
09:10 – 09:20	Welcome address by Dr. Latifa Daadaoui (Erasmus+)
09:20 – 09:30	Welcome address by Prof. Kenza Ait El Kadi, Project Coordinator of DTT4SD at IAV Hassan II
Keynote Session 1
09:30 – 09:50	Prof. Željko BAČIĆ Digital Technology for Agriculture University of Zagreb, Croatia
09:50 – 10:10	Prof. Fatma TRABELSI Artificial Intelligence for Smarter Water Management in AI4Water Project ESIM, Tunisia
10:10 – 10:30	Zeineb Kassouk Remote Sensing and Geospatial AI for Geomodelling Land Degradation in the Joumine Watershed, Tunisia Zeineb Kassouk¹, Raoudha Haboubi², Inaam Ghariani¹, Mariem Chammam² ¹ Laboratory GREEN-TEAM LR17AGR01, University of Carthage, National Agronomic Institute of Tunisia, Tunisia ² Faculty of Letters, Arts and Humanities of Manouba, Tunisia
10:30 – 11:00	Discussion and Q&A
11:00 – 11:15	Break
Keynote Session 2
11:15 – 11:35	Prof. Said LAARIBYA Climate Change and Spatio-Temporal Land Cover Dynamics in Talassemtane National Park (Morocco): Insights from Artificial Intelligence and Google Earth Engine Ibn Tofail University, Morocco
11:35 – 11:55	Prof. Hicham HAJJI Next-Gen Geospatial AI: Deep Dive into Geospatial Foundation Models IAV Hassan II, Morocco
11:55 – 12:15	Dr. Tarik BENABDELOUAHAB Monitoring Crop Development Through Phenology-Based Remote Sensing INRA, Morocco
12:15 – 12:30	Discussion and Q&A

Day 2 – July 9, 2026

All session times are displayed in Morocco Standard Time (GMT+1).

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Time	Activity
09:00 – 12:30	PhD Students' Presentations – Session 1
09:00 – 09:20	Zakaria Ntihebuwayo From Black Box to Geological Discovery: Explainable Artificial Intelligence and Causal Inference Applied to Rare Earth Exploration in Gakara (Burundi)
09:20 – 09:40	Asmaa Moussaoui Mapping and Analysis of Rurban Dynamics: A Hybrid Approach Integrating Geospatial and Socio-Demographic Data
09:40 – 10:00	Walid Elbarz National-Scale Crop Type Mapping in Morocco Using Google AlphaEarth Foundations Embeddings and the Fields of the World Field Boundary Map
10:00 – 10:20	Marwa Zerrouk Monitoring of the Sidi Moussa Oualidia Wetland Using Remote Sensing Indices with Google Earth Engine
10:20 – 10:35	Break
10:35 – 11:55	PhD Students' Presentations – Session 2
10:35 – 10:55	Emmanuel Yerbo GeoAI-Driven Precision Agriculture: A Self-Trained 1D-CNN for Spectral-Temporal Vegetation Mapping and Variable-Rate Nitrogen Prescription in the Prestea Huni-Valley Municipality, Ghana
10:55 – 11:15	Maha Machdoud Smartphone-Based Photogrammetry for Biomass Assessment in the Middle Atlas Rangelands
11:15 – 11:35	Aya Zitane Weakly Supervised Mapping of Tree-Based Agriculture Using Multi-Temporal Sentinel-2 and Auxiliary Geospatial Data
11:35 – 11:55	Hassan Hani GeoAI-Based Analysis of the Relationship Between Land Use/Land Cover Dynamics and GRACE-Derived Data in Errachidia Province, Morocco
11:55 – 12:30	Closing Discussion & Final Remarks

Conference Topics

Geospatial Artificial Intelligence is an emerging field that combines advanced AI techniques with geospatial data to analyze, model, and manage complex environmental and urban systems. By integrating spatial information with machine learning and data-driven methods, it enables new capabilities for Earth observation, resource optimization, and informed decision-making in a rapidly changing world. The GeoAI4SD 2026 conference aims to bring together researchers, academics, practitioners, and industry leaders to discuss emerging methods, applications, and challenges at the intersection of artificial intelligence, geospatial technologies, sustainability, and digital transformation. It provides a platform for showcasing innovative GeoAI approaches that contribute to addressing global environmental and societal challenges, including the achievement of the United Nations Sustainable Development Goals (SDGs). Contributions are encouraged across a broad range of topics, including spatial data science, remote sensing technologies, machine learning applications, geospatial data infrastructures, urban and environmental digital twins, and intelligent decision-support systems for building resilient and sustainable territories.

Environmental Monitoring & Climate Action

GeoAI for Precision Conservation
Predictive Modeling of Natural Disasters
Blue Carbon Mapping
Real-time Air Quality Forecasting

Sustainable Cities & Infrastructure

Digital Twins for Urban Resilience
Urban Heat Island Detection
Smart Mobility & Emission Reduction
Rurbanity & Territorial Transformation

Agriculture, Food Security & Water

Precision Agriculture
Groundwater Depletion Tracking
Automated Crop Yield Forecasting
GeoAI for Sustainable Water Management

GeoAI & Digital Innovation

Spatial Data Science
Deep Learning for Earth Observation
Digital Twins & Simulation
Big Geospatial Data Analytics

Keynote Speakers

Dr. Zeineb Kassouk

Institut National Agronomique de Tunisie (INAT) - Tunisia

Dr. Zeineb Kassouk is an Associate Professor in geomatics and remote sensing at the National Agronomic Institute of Tunisia (INAT), Tunisia. Her research focuses on satellite image analysis, digital soil mapping, agricultural monitoring, and environmental applications of geospatial technologies. Her work addresses remote sensing for natural resources, soil organic carbon assessment, water management, climate change impacts, and AI-based mapping methods.

Prof. Fatma Trabelsi, PhD

university of Jendouba/IRESA- Tunisia

Prof. Fatma Trabelsi is an Associate Professor of Hydrogeology and Geomatics at the University of Jendouba and a researcher affiliated with IRESA, Tunisia. Her research focuses on hydrogeology, groundwater management, GIS, remote sensing, geostatistics, machine learning, and climate change applications. She has contributed to several international projects on water resources, flood risk assessment, and environmental monitoring.

Prof. Željko Bačić, PhD

University of Zagreb- Croatie

Prof. Željko Bačić is a Professor at the Faculty of Geodesy, University of Zagreb, Croatia. His expertise focuses on satellite positioning, Earth observation, spatial data infrastructures, and geospatial technologies for governance and disaster risk reduction. He previously served as Director General of the Croatian State Geodetic Administration and contributed to major national geospatial reforms, including CROPOS and the Croatian National SDI.

Prof. Said LAARIBYA , PhD

Ibn Tofail University [UIT] - Morocco

Prof. Said Laaribya is a Moroccan researcher and faculty member at Ibn Tofail University, Morocco, specializing in forestry and environmental sciences. His research focuses on forest ecosystem management, climate change adaptation, desertification mitigation, Earth observation, and spatial planning. His work addresses sustainable natural resource management, environmental monitoring, and the development of geospatial approaches to support ecosystem conservation and sustainable development.

Prof.Hajji Hicham, PhD

Agronomic and Veterinary Hassan II Institute [IAV Hassan II] - Morocco

Prof. Hicham Hajji is a Moroccan researcher, geospatial expert, and Professor at the School of Geomatic Sciences and Surveying Engineering of IAV Hassan II, Rabat, Morocco. He received his Engineering degree in Surveying Engineering from IAV Hassan II and holds both an M.Sc. and a Ph.D. in Computer Science from INSA Lyon, France. His research focuses on Geographic Information Systems (GIS), Artificial Intelligence, Big Data, spatial data infrastructures, and web mapping technologies. He has contributed to numerous national and international projects related to geospatial innovation, data science, and digital transformation for sustainable territorial development.

Dr. Tarik Benabdelouahab

National Institute of Agricultural Research [INRA] - Morocco

Dr. Tarik Benabdelouahab is a Moroccan agricultural scientist and Head of the Environment and Natural Resources Department at INRA Morocco. His research focuses on satellite remote sensing, digital agriculture, climate resilience, and environmental modeling for sustainable resource management. He contributes to projects on digital soil mapping, crop yield forecasting, and agro-meteorological modeling.

GeoAI for Sustainable Development

DTT4SD

Co-funded by
the European Union

Conference Preamble