Automated Mapping and Monitoring of Soil Key Components and Functions Using Satellite Imagery and Artificial Intelligence Learning
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 87
Special Issue Editors
Interests: remote sensing; soil monitoring; machine learning; ecohydrology; climate change
Interests: remote sening; soil organic carbon; vegetation; machine learning
Special Issue Information
Dear Colleagues,
Soil serves as the foundation of terrestrial ecosystem functions, playing critical roles in carbon sequestration, nutrient cycling, water and soil conservation, and biodiversity regulation, while supporting global ecosystem services. However, climate change (e.g., intensifying droughts and frequent extreme weather) and high-intensity human activities are accelerating impacts on soil functions, posing threats to food security and ecosystem resilience. Traditional soil science research has been constrained by limited data availability, oversimplified model assumptions, and inadequate multi-scale coupled analyses, making it challenging to meet the demands for precise prediction and management in complex, dynamic environments.
The integration of artificial intelligence (AI) technologies—such as machine learning, deep learning, and reinforcement learning—with remote sensing data offers revolutionary tools for elucidating the spatiotemporal dynamics of soil functions, predicting degradation risks, and optimizing management strategies. This Special Issue focuses on AI-driven analysis of soil moisture and functionality, as well as sustainable management, aiming to advance soil science from "phenomenon description" to a paradigm of "mechanism elucidation–prediction–regulation". It seeks to address core issues of soil health and climate action in the context of the United Nations Sustainable Development Goals (SDGs).
The aim of this Special Issue is to showcase the latest state-of-the-art findings in this field. Topics include, but are not limited to, the following:
- Prediction and impact analysis of soil carbon, nitrogen, and microbial abundance using multi-source remote sensing and AI.
- Soil moisture monitoring and inversion with multi-source remote sensing and AI.
- Optimization of soil management practices under climate change to sustain and enhance soil functions.
Dr. Fubo Zhao
Dr. Huiwen Li
Dr. Shaohui Zhang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- soil carbon and nitrogen mapping
- soil moisture monitoring
- soil moisture mapping
- soil sustainable management
- climate change
- land use change
- deep learning machine learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
