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Advances, Innovations and Applications of UAV Technology for Remote Sensing

Topic Information

Dear Colleagues,

Nowadays, a variety of Unmanned Aerial Vehicles (UAVs) are commercially available and are widely used for several real-world tasks, such as environmental monitoring, construction site surveys, remote sensing data collection, vertical structure inspection, glaciology, smart agriculture, forestry, atmospheric research, disaster prevention, humanitarian observation, biological sensing, reef monitoring, fire monitoring, volcanic gas sampling, gap pipeline monitoring, hydrology, ecology, and archaeology. These less-invasive aerial robots support minimized user interventions, high-level autonomous functionalities, and can carry payloads for certain missions. UAV operations are highly effective in collecting valuable quantitative and qualitative data required to monitor isolated and distant regions. The integration of UAVs in such regions has substantially enhanced environmental monitoring by saving time, increasing precision, minimizing human footprints, increasing safety, and extending the study area of hard-to-access regions. Moreover, we have noticed a notable growth in emerging technologies such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer vision, the Internet-of-Things (IoT), laser scanning, sensing, oblique photogrammetry, aerial imaging, efficient perception, and 3D mapping, all of which assist UAVs in their multiple operations. These promising technologies can outperform human potentials in different sophisticated tasks such as medical image analysis, 3D mapping, aerial photography, and autonomous driving. Based on the aforementioned technologies, there exists an expanding interest to consider these cutting-edge technologies in order to enhance UAVs' level of autonomy and their other capabilities. Currently, we have also witnessed a tremendous growth in the use of UAVs for remotely sensing rural, urban, suburban, and remote regions. The extensive applicability and popularity of UAVs is not only strengthening the development of advanced UAV sensors, including RGB, LiDAR, laser scanners, thermal cameras, and hyperspectral and multispectral sensors, but it is also driving pragmatic and innovative problem-solving features and intelligent decision-making strategies in diverse domains. The integration of autonomous driving, collision avoidance, strong mobility for acquiring images at high temporal and spatial resolutions, environmental awareness, communication, precise control, dynamic data collection, 3D information acquisition, and intelligent algorithms also support UAV-based remote sensing technology for multiple applications. The growing advancements and innovations of UAVs as a remote sensing platform, as well as development in the miniaturization of instrumentation, have resulted in an expanding uptake of this technology in disciplines of remote sensing science.

This Topic aims to provide a novel and modern viewpoint on recent developments, novel patterns, and applications in the field. Our objective is to gather latest research contributions from both academicians and practitioners from diversified interests to fill the gap in the aforementioned research areas. We invite researchers to devote articles of high-quality scientific research to bridge the gap between theory, practice in design, and applications. We seek reviews, surveys, and original research articles on, but not limited to, the topics given below:

  • Real-time AI in motion planning, trajectory planning and control, data gathering and analysis of UAVs;
  • Image/LiDAR feature extraction;
  • Processing algorithms for UAV-aided imagery datasets;
  • Semantic/instance segmentation, classification, object detection and tracking with UAV data using the data mining, AI, ML, DL algorithms;
  • Cooperative perception and mapping utilizing UAV swarms;
  • UAV image/point clouds processing in power/oil/industry, hydraulics, agriculture, ecology, emergency response, and smart cities;
  • UAV-borne hyperspectral remote sensing;
  • Collaborative strategies and mechanisms between UAVs and other systems, such as hardware/software architectures including multi-agent systems, protocols, and strategies to work together;
  • UAV onboard remote sensing data storage, transmission, and retrieval;
  • Advances in the applications of UAVs in archeology, precision agriculture, yield protection, atmospheric research, area management, photogrammetry, 3D modeling, object reconstruction, Earth observation, climate change, sensing and imaging for coastal and environment monitoring, construction, mining, pollution monitoring, target tracking, humanitarian localization, security and surveillance, and ecological applications;
  • Use of optical laser, hyperspectral, multi-spectral, and SAR technologies for UAV-based remote sensing.

Dr. Syed Agha Hassnain Mohsan
Prof. Dr. Pascal Lorenz
Dr. Khaled Rabie
Dr. Muhammad Asghar Khan
Dr. Muhammad Shafiq
Topic Editors

Keywords

  • drones
  • UAVs
  • aerial robots
  • remote sensing
  • aerial imagery
  • LiDAR
  • machine learning
  • atmospheric research
  • sensing and Imaging
  • processing algorithms

Participating Journals

AI
Open Access
675 Articles
Launched in 2020
5.0Impact Factor
6.9CiteScore
19 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
Drones
Open Access
3,200 Articles
Launched in 2017
4.8Impact Factor
7.4CiteScore
21 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
Inventions
Open Access
904 Articles
Launched in 2016
1.9Impact Factor
4.9CiteScore
22 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking
Machine Learning and Knowledge Extraction
Open Access
620 Articles
Launched in 2019
6.0Impact Factor
9.9CiteScore
27 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
Remote Sensing
Open Access
40,355 Articles
Launched in 2009
4.1Impact Factor
8.6CiteScore
24 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
Sensors
Open Access
75,080 Articles
Launched in 2001
3.5Impact Factor
8.2CiteScore
18 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking

Published Papers