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Remote Sensing and UAV Technologies for Environmental Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: 25 December 2025 | Viewed by 799

Special Issue Editor


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Guest Editor
Department of Geographical and Historical Studies, University of Eastern Finland, Yliopistokatu 7, 80100 Joensuu, Finland
Interests: geoinformatics; spatial analysis; remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sensors is a journal dedicated to a wide scope of sensor and imaging technologies and related topics. UAV technologies for environmental imaging and UAV sensor development and image processing therefore fall within the journal’s scope.

UAV (drone) hardware and software are rapidly evolving, making the technology available to large communities of researchers and professionals. The use of UAV technology has come to provide fast and cost-effective tools for the monitoring of natural and manmade environments. The need to provide instant aerial data to assess environmental accidents and damage is evident. Apart from basic RGB camera drones, there is a growing need for cheap specialized drones carrying, for example, thermal or multi-spectral cameras, just as there is an emerging requirement to fly drone swarms that can map large areas in search and rescue missions. The development of weather resistant drones has also become a clear issue. This Special Issue intends to provide a platform for those actively developing UAV sensor products, flight automation, high-precision positioning, integration, image processing, and other related fields.

Prof. Dr. Alfred Colpaert
Guest Editor

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Keywords

  • UAV sensors
  • flight automation
  • drone swarms
  • UAV high-precision positioning
  • RTK
  • environmental monitoring
  • damage assessment
  • long-endurance flight technology
  • weather resistant drones

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Published Papers (1 paper)

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Research

19 pages, 6293 KiB  
Article
Restoring Anomalous Water Surface in DOM Product of UAV Remote Sensing Using Local Image Replacement
by Chunjie Wang, Ti Zhang, Liang Tao and Jiayuan Lin
Sensors 2025, 25(13), 4225; https://doi.org/10.3390/s25134225 - 7 Jul 2025
Viewed by 432
Abstract
In the production of a digital orthophoto map (DOM) from unmanned aerial vehicle (UAV)-acquired overlapping images, some anomalies such as texture stretching or data holes frequently occur in water areas due to the lack of significant textural features. These anomalies seriously affect the [...] Read more.
In the production of a digital orthophoto map (DOM) from unmanned aerial vehicle (UAV)-acquired overlapping images, some anomalies such as texture stretching or data holes frequently occur in water areas due to the lack of significant textural features. These anomalies seriously affect the visual quality and data integrity of the resulting DOMs. In this study, we attempted to eliminate the water surface anomalies in an example DOM via replacing the entire water area with an intact one that was clipped out from one single UAV image. The water surface scope and boundary in the image was first precisely achieved using the multisource seed filling algorithm and contour-finding algorithm. Next, the tie points were selected from the boundaries of the normal and anomalous water surfaces, and employed to realize their spatial alignment using affine plane coordinate transformation. Finally, the normal water surface was overlaid onto the DOM to replace the corresponding anomalous water surface. The restored water area had good visual effect in terms of spectral consistency, and the texture transition with the surrounding environment was also sufficiently natural. According to the standard deviations and mean values of RGB pixels, the quality of the restored DOM was greatly improved in comparison with the original one. These demonstrated that the proposed method had a sound performance in restoring abnormal water surfaces in a DOM, especially for scenarios where the water surface area is relatively small and can be contained in a single UAV image. Full article
(This article belongs to the Special Issue Remote Sensing and UAV Technologies for Environmental Monitoring)
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