Trends and Innovations in Geospatial Analysis Based on Remote Sensing and Artificial Intelligence Technologies
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing for Geospatial Science".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 8
Special Issue Editor
Interests: GIS; remote sensing; sustainable development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement in remote sensing and artificial intelligence (AI) has been transforming geospatial analysis. Recent progress in satellite and aerial imaging, sensor networks, and data acquisition platforms has generated vast amounts of high-resolution, multi-temporal geospatial data. Simultaneously, innovations in AI—particularly in machine learning, deep learning, and computer vision—are paving the way for autonomous geospatial analytics and next-generation decision-support systems. The convergence of these technologies has enabled unprecedented capabilities in environmental monitoring, urban planning, disaster management, climate change research, and more.
This Special Issue, “Trends and Innovations in Geospatial Analysis Based on Remote Sensing and Artificial Intelligence Technologies”, brings together cutting-edge research and innovative methodologies that integrate AI—including deep learning, machine learning, and computer vision—with geospatial data from spaceborne, airborne, and IoT sensors, and highlights the revolutionary impact of these technologies across multiple domains.
Key themes explored in this issue include the following:
- AI-Powered Image Processing: Advanced deep learning architectures designed to boost the accuracy of remote sensing tasks such as land cover classification, object detection, and change detection.
- Big Geospatial Data Analytics: Scalable AI-driven geospatial data analytics for processing large-scale, multi-temporal, and multi-spectral datasets to extract meaningful insights.
- Advanced Geospatial Data Fusion Approaches: Integration of multisource geospatial data with AI techniques to improve mapping and enhance the depth and quality of geospatial analysis.
- Real-Time Geospatial Analysis: Utilization of lightweight AI models powered by edge computing to enable real-time geospatial analysis in field-based applications.
- Ethical and Explainable AI Practices: Ensuring ethical standards in the deployment of AI-driven geospatial technologies, enhancing transparency and improving model interpretability for responsible decision-making.
- Applications of Innovations: Demonstrating their use in climate change, disaster response, urban planning, agriculture, public health, and other relevant domains.
Dr. Xuan Zhu
Guest Editor
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
- geospatial analysis
- remote sensing
- artificial intelligence
- image processing
- geospatial data analytics
- geospatial data fusion
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