GeoBigData, GeoAI, and GeoModeling Applications in Geo-Information Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 20 November 2025
Special Issue Editors
Interests: three-dimensional geological modeling; geologic big data; machine learning
Interests: territorial anthropization; GIS analysis; landscape planning; land use policy; territorial management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite manuscripts that explore novel applications and advancements in the integration of GeoBigData, GeoAI, and GeoModeling within GIS frameworks. We welcome original research papers, review articles, and case studies that contribute to the development of innovative techniques for analyzing complex geospatial data, optimizing decision-making, and supporting sustainable management of Earth's resources and environments.
The integration of GeoBigData, GeoAI, and GeoModeling has significantly advanced Geo-Information Systems (GISs), enabling more efficient data processing, enhanced analytical capabilities, and improved predictive modeling. GeoBigData refers to the vast volumes of geospatial data generated from sources such as Earth Observation (EO), remote sensing, and Internet of Things (IoT). The challenge lies in effectively managing, storing, and analyzing these data to extract meaningful insights. Advancements in cloud computing, artificial intelligence (AI), and GeoModeling techniques have been pivotal in addressing these challenges. GeoAI allows for the identification of complex patterns and relationships within geospatial datasets, enhancing geospatial output evaluation and map quality, as well as the improvement of image object detection, map generalization, and map design. GeoModeling encompasses the creation of digital representations of the Earth's subsurface and other geospatial phenomena. These models integrate various data types—geological, geophysical, and geochemical—to simulate and predict geological processes, resource distribution, and environmental changes.
Research areas may include (but are not limited to) the following:
- Big data analytics and management in geospatial science.
- Machine learning and artificial intelligence for GeoAI applications.
- GeoModeling techniques for resource exploration and environmental monitoring.
- Integration of GeoBigData with GIS platforms and applications.
- Geospatial data fusion and advanced visualization methods.
- Applications of GeoBigData and GeoAI in sustainable resource management and environmental monitoring.
Dr. Baoyi Zhang
Prof. Dr. Salvador García-Ayllón Veintimilla
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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
- GeoBigData
- GeoAI
- GIS
- geospatial data fusion
- machine learning
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