2023
DOI: 10.3390/drones7100637
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Eyes in the Sky: Drones Applications in the Built Environment under Climate Change Challenges

Norhan Bayomi,
John E. Fernandez

Abstract: This paper reviews the diverse applications of drone technologies in the built environment and their role in climate change research. Drones, or unmanned aerial vehicles (UAVs), have emerged as valuable tools for environmental scientists, offering new possibilities for data collection, monitoring, and analysis in the urban environment. The paper begins by providing an overview of the different types of drones used in the built environment, including quadcopters, fixed-wing drones, and hybrid models. It explore… Show more

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Cited by 25 publications
(6 citation statements)
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“…These instruments present their strengths and weaknesses compared to balloon-borne radiosondes. For example, aircraft offer flexibility to be deployed rapidly, with various instruments for specific locations and altitudes, providing targeted measurements where needed [63]. However, they are expensive to maintain, weather-dependent (i.e., not operating under severe storms), and limited to lower-and mid-level altitudes, unable to reach the upper atmosphere like balloons or sounding rockets [64].…”
Section: In Situ Measurements For Monitoring Upper Air Temperature Pr...mentioning
confidence: 99%
“…These instruments present their strengths and weaknesses compared to balloon-borne radiosondes. For example, aircraft offer flexibility to be deployed rapidly, with various instruments for specific locations and altitudes, providing targeted measurements where needed [63]. However, they are expensive to maintain, weather-dependent (i.e., not operating under severe storms), and limited to lower-and mid-level altitudes, unable to reach the upper atmosphere like balloons or sounding rockets [64].…”
Section: In Situ Measurements For Monitoring Upper Air Temperature Pr...mentioning
confidence: 99%
“…Due to advantages in providing accurate location information [7], Light Detection and Ranging (LiDAR) data usually form the raw input of single sensor-based 3D object detectors. An input point cloud generated by a LiDAR sensor is usually projected into a cylindrical coordinate [8] or bird's-eye view (BEV) [9] to obtain a structured and fixed-length representation that can be fed to a CNN network for object detection. After projecting the LiDAR points into an input tensor, the detection model feeds the represented data into convolutional layers to create the final 3D bounding boxes around objects of interest on a single forward pass [10].…”
Section: Introductionmentioning
confidence: 99%
“…Using microclimatic zoning allows the identification of environmental variations in vineyards, yielding valuable information on the climatic factors that impact the growth of grapevines [27,28]. However, we also recognise the potential of sensor technologies and drones to augment our understanding of microclimatic variations [29][30][31][32][33]. Despite the higher costs associated with sensors, their ability to collect real-time data provides invaluable insights into local environmental conditions.…”
Section: Introductionmentioning
confidence: 99%