Special Issue on Advances in GEOAI For Earth Surface Processes and Environmental Change

Introduction:

Recent advances in Geospatial Artificial Intelligence (GeoAI), which combines machine learning, deep learning, spatial statistics, and geocomputation, have profoundly altered the investigation and forecasting of earth surface processes and environmental change. Unprecedented opportunities for modeling intricate surface-subsurface interactions, geomorphic dynamics, hydrological processes, and climate-driven environmental transformations have been made possible by the expanding availability of high-resolution remote sensing data, UAV observations, LiDAR, IoT sensors, and large geospatial databases. The dynamic interactions between the lithosphere, hydrosphere, biosphere, and atmosphere are governed by earth surface processes, which shape landscapes and control the movement, transformation, and distribution of environmental systems. Recent advances have enabled unparalleled spatial and temporal precision in the observation, measurement, and analysis of Earth surface processes. These technology breakthroughs enable new methods of monitoring environmental change, assessing anthropogenic and natural impacts, understanding complex Earth-environment interactions, and developing predictive strategies for resilient and sustainable environmental management. This Special Issue is bringing together cutting-edge research in GeoAI, machine learning, remote sensing, and data-driven modeling to address Earth and environmental concerns as climatic and anthropogenic pressures. It focuses on novel computational approaches to understanding geological, geographical, and biogeochemical processes, analyzing environmental risks and pollution pathways, and assessing ecosystem vulnerability in terrestrial, aquatic, and coastal environments.

Topics covered:

• GeoAI and Machine Learning for Urban and Environmental ecosystems
• Environmental Impacts of Industrialization, Urbanization, and Agriculture
• Geospatial modelling of erosion, land degradation, and watershed processes
• Climate change impacts on hydrological and biogeochemical systems
• Groundwater–Surface Water Interactions and Sustainability, Water use, vegetation and climate.
• Coastal Vulnerability, Wetland Loss, Land Subsidence, and Sea-Level Rise, Coastal flooding.
• Human–environment interactions, Urban-Coastal Interactions, Urban Air Quality, Earth surface processes, Environmental Change and anthropogenic stressors.
• Remote sensing and GeoAI for land-use/land-cover change detection
• Integration of UAV, LiDAR, hyperspectral, and multisensor datasets using GeoAI
• Spatiotemporal prediction of environmental hazards (floods, droughts, landslides).
• Environmental Policy, Sustainability, and Nature-based Solutions
• Data Science, Python, and Open-source Geospatial Workflows
• Risk Assessment, Early Warning Systems, and Decision Support Models

Important Deadlines:

Submission deadline: 30th  April 2027

Submission Instructions:

Please read the [Guide for Authors] before submitting. All articles should be [submitted online], please select "VSI: GEOAI: ESPEC" on submission.

Guest Editors:

1. Dr. RAMAMOORTHY AYYAMPERUMAL (Executive Guest Editor)

Department of Earth and Environmental Sciences,

Nivetha Institute of Earth and Environmental Sciences, Tamil Nadu, India.

Email: director@niees.org.in

2. Dr. ABHISHEK BANERJEE

Northwest Institute of Eco-Environment and Resources,

Chinese Academy of Sciences, Lanzhou, China.

Email: banerjee.abhishek@nieer.ac.cn 

3. Dr. DHRITIRAJ SENGUPTA

School of Geography and Environmental Sciences,

University of Southampton, England.

Email: ds1y23@soton.ac.uk