Big Geo-Spatial Data and Advanced 3D Modelling in GIS and Satellite
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing and Geo-Spatial Science".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 2367
Special Issue Editors
Interests: photogrammetry; computational geometry; visibility; urban modeling; GIS
Special Issue Information
Dear Colleagues,
Remote sensing has become widespread in the last decade thanks to the advancement of sensing devices, coupled with both satellites and aerial vehicles such as UAVs (unmanned aerial vehicles). They are able to generate massive datasets with a high spatial resolution, which involves many different challenges for their processing. The captured information has a marked spatial character and can change over time across different captures, requiring spatiotemporal information systems. On the other hand, the capture of a unique data type may not be sufficient, requiring multi-source data fusion of heterogeneous data. Furthermore, the real world is three-dimensional, and 3D modelling describes the geometry and appearance of real scenarios, providing the user with a more accurate scene understanding. In summary, challenges are focused on techniques for storage, data mining, spatiotemporal analysis, edge computing, machine and deep learning, object detection or semantic classification, among many others. Advances in this area have a direct impact on broad fields of knowledge such as precision agriculture, ecology or territorial configuration.
Dr. Lidia M. Ortega Alvarado
Dr. María I. Ramos Galan
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing from satellite and UAV (unmanned aerial vehicles) sources
- massive dataset processing
- spatiotemporal information systems
- data analysis including data mining and machine and deep learning
- imagery and 3D point cloud fusion
- ecology and precision agriculture
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