Manuscript Topics

This special issue seeks to gather cutting-edge research that leverages Artificial Intelligence (AI) for advancing soil, water, environmental, and forestry applications, particularly within the context of geosciences. Given the evolving challenges posed by climate change, environmental degradation, and the need for sustainable management of natural resources, AI presents innovative approaches to understanding and addressing these complex issues. This collection will focus on AI-driven methodologies across geoscience fields, such as hydrology, soil science, environmental monitoring, forest fires, and climate science, which are crucial for addressing both scientific and societal needs.

The application of AI has the potential to transform how we model, monitor, and manage earth systems, especially in soil and water domains. This special issue will prioritize interdisciplinary research at the intersection of geosciences and AI, welcoming contributions that explore new methodologies, models, and AI-powered technologies. By highlighting diverse approaches, the special issue aims to foster discussions that bridge theoretical advancements with real-world geoscience challenges, aligning with AIMS Geosciences’ emphasis on addressing scientific and societal questions.

Suggested Topics:
Submissions to this special issue may focus on, but are not limited to, the following topics:

1. AI in Soil Science and Management:
-Applications of machine learning in soil classification, mapping, and land suitability analysis;
-AI-powered techniques for predicting soil erosion, nutrient levels, and soil health.

2. Water Resources and Hydrological Applications:
-Use of AI for hydrological forecasting, water quality prediction, and flood risk assessment;
-Machine learning models for groundwater mapping and resource management.

3. Environmental Monitoring and Climate Change Adaptation:
-Remote sensing and AI applications in environmental monitoring, including land cover and land use change;
-AI approaches for climate pattern analysis, drought prediction, and resilience building.

4. AI-driven Modelling for Natural Hazard Prediction:
-Applications in forecasting natural hazards such as landslides, earthquakes, and wildfires;
-Integration of AI and remote sensing data for risk mapping and disaster preparedness.

5. Remote Sensing and Geoinformatics:
-AI for large-scale geospatial data analysis, with a focus on satellite image processing for environmental and water-related studies;
-Developing AI frameworks for detecting, classifying, and quantifying geospatial patterns relevant to soil and water conservation.

6. Sun-Earth System and Environmental Sustainability:
-Machine learning approaches to study solar radiation impacts on climate and agricultural productivity;
-AI in analyzing interactions between terrestrial and atmospheric processes relevant to climate and sustainability.

7. Methodological Advances in AI for Geosciences:
-Novel AI algorithms for data processing, feature extraction, and multi-source data fusion;
-Validation and explainability of AI models in geoscientific applications.
This special issue welcomes original research articles, reviews, methodological articles, and case studies that present high-quality, innovative contributions within the thematic areas outlined above.

Objective:
The goal is to compile a comprehensive volume that not only demonstrates AI's potential to enhance our understanding and management of soil, water, and environmental resources but also encourages cross-disciplinary approaches that address pressing societal challenges.
This special issue will attract researchers from diverse backgrounds in geosciences, environmental engineering, hydrology, climate science, and computer science, creating a platform for shared insights and interdisciplinary innovation. Through this collection, AIMS Geosciences will provide a foundational reference for geoscientific applications of AI that can support sustainable and effective solutions for soil, water, and environmental management.

Instruction for Authors
http://www.aimspress.com/aimsgeo/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/