Environmental Monitoring Using UAV and Mobile Mapping Systems
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (26 April 2024) | Viewed by 1048
Special Issue Editor
Interests: photogrammetry; laser scanning; mobile mapping systems; system calibration; computer vision; unmanned aerial mapping systems; multisensor/multiplatform data integration
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the increase in global population, decrease in available resources, and growing interest in protecting our environment, we have an unprecedent need to develop accurate, affordable tools for the digital documentation and inventory of our environment. Mobile mapping systems equipped with passive and active sensing modalities have been proven as accurate modalities for the accurate documentation of our surroundings. Advances in direct georeferencing technologies (i.e., integrated global navigation satellite systems and inertial navigation systems—GNSS/INS), passive sensing technologies operating in different portions of the electromagnetic spectrum (e.g., RGB, multi-spectral, and hyperspectral cameras), active ranging systems (e.g., linear and single-photon light detection and ranging—LiDAR), and platforms (e.g., crewed and uncrewed aerial/ground vehicles) are providing unprecedent opportunities for the accurate, up-to-date, and affordable mapping of our environment. This Special Issue is seeking contributions that deal with different aspects of using mobile mapping technologies, in general, and uncrewed aerial vehicles, in particular, for environmental monitoring applications. Papers related to the topics below, as well as others, are welcomed:
- Remote sensing using un-crewed aerial vehicles (UAVs);
- System calibration and control-free mapping applications;
- GNSS/INS-based georeferencing of remote sensing systems;
- Visual SLAM for GNSS-denied/challenging environments;
- LiDAR SLAM for GNSS-denied/challenging environments;
- Hybrid (visual/LiDAR) SLAM for GNSS-denied/challenging environments;
- Learning and geometric strategies for processing passive and active remote sensing data;
- Fusion of passive and active remote sensing data;
- Quantitative change detection using passive and active remote sensing data;
- Quality control of remote sensing data and products;
- Geiger mode and single photo LiDAR systems for scalable mapping of larger areas;
- Fine-resolution forest inventory;
- Multi-spectral and hyperspectral remote sensing of agricultural fields;
- Management of coastal regions using mobile mapping technologies;
- Remote sensing data for digital twin generation.
Prof. Dr. Ayman F. Habib
Guest Editor
Manuscript Submission Information
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