Unmanned Aerial Vehicles for Environmental Monitoring with Special Reference to Heat Loss

Anweiler, Stanisław; Piwowarski, Dawid; Ulbrich, R.

doi:10.1051/e3sconf/20171902005

Cited by 6 publications

(3 citation statements)

References 7 publications

(7 reference statements)

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“…The standalone use of thermal sensors is adequate for the field monitoring of brightness temperature differences, especially for precision agriculture, as the canopy temperature is closely related to plant stress [41,42]. Furthermore, thermal sensors have proved to be useful in mapping urban heat islands [43], heat losses in large objects [44], soil water monitoring [11], and for animal detection [45]. When using thermal sensors, radiometric calibration needs to be considered, as well as the lower spatial resolution compared to RGB or multispectral sensors.…”

Section: Platform and Sensor Choicementioning

confidence: 99%

Current Practices in UAS-based Environmental Monitoring

et al. 2020

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With the increasing role that unmanned aerial systems (UAS) are playing in data collection for environmental studies, two key challenges relate to harmonizing and providing standardized guidance for data collection, and also establishing protocols that are applicable across a broad range of environments and conditions. In this context, a network of scientists are cooperating within the framework of the Harmonious Project to develop and promote harmonized mapping strategies and disseminate operational guidance to ensure best practice for data collection and interpretation. The culmination of these efforts is summarized in the present manuscript. Through this synthesis study, we identify the many interdependencies of each step in the collection and processing chain, and outline approaches to formalize and ensure a successful workflow and product development. Given the number of environmental conditions, constraints, and variables that could possibly be explored from UAS platforms, it is impractical to provide protocols that can be applied universally under all scenarios. However, it is possible to collate and systematically order the fragmented knowledge on UAS collection and analysis to identify the best practices that can best ensure the streamlined and rigorous development of scientific products.

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Section: Platform and Sensor Choicementioning

confidence: 99%

Current Practices in UAS-based Environmental Monitoring

et al. 2020

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“…Small drones equipped with environmental sensing payloads are emerging as a valuable tool in different meteorology disciplines such as atmospheric chemistry, industrial emission monitoring and urban development control (Alvear et al, 2017;Burgués & Marco, 2020) (Hedworth et al, 2021). An environmental sensing payload gives drones a unique set of abilities such producing 3D air quality maps with high spatial resolution, monitoring toxic gases in dangerous or hard to reach locations or analysing the chemical composition of the lower atmosphere (Anweiler et al, 2017;Ruiz-Jimenez et al, 2019). The increase in the commercial drone manufacturing sector, which now offers a broad selection of small drones that are affordable for most research group .The availability of low cost lightweight gaseus sensing instruments, as well increasing social concern and tightening regulations on air pollution and global warming.…”

Section: Introductionmentioning

confidence: 99%

Environmental Gaseous Sensing Using Sniffer Drone for Urban Development Control

Hashim

2023

Lecture Notes in Civil Engineering

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This study aims to present an environmental gaseous sensing analysis using drones in urban development control for the industrial area. The data collection method based on the possibility of gas dispersion in a heavy industrial area in Klang, Malaysia, to the neighbouring land uses. The sniffer has carried five types of gaseous sensors and mounted in DJI Matrice 100 quadcopter UAV. However, for this study, we analysed two significant gases related to an industrial area consisting of Carbon dioxide (CO 2 ) and Hydrocarbon (CxH y). The information has been collected in two modes of time which is in the early morning and afternoon. The data was mapped and analysed with a vector layer to identify either it breaches a concentration limits for gases collected. The finding stated that, the morning concentration reading is more dense compare to the afternoon. Results show that CO 2 and CxHy still under control and minimise the risk for the local population. However, the safety precaution should be undertaken since gas dispersion's future potential would go beyond and affect the surrounding activities. In conclusion, this study shows the UAVs potential as one of the best mechanisms to monitor the environmental effect. Simultaneously, there is a need to review existing urban development control since climate change and sustainability are linked through their interaction in industries, and its surrounding land uses.

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“…The use of unmanned aerial vehicles (UAVs) for measurements for investigating the horizontal and vertical distribution of gaseous and particulate air pollutants in the atmospheric boundary layer (ABL) [ 23 ] is widely accepted by different types of UAVs. Airplanes [ 24 , 25 ], multicopters [ 26 , 27 , 28 ], and balloons are used in different locations all over the world, among others in Asia [ 29 ], and Europe [ 30 ]. Diversity in UAV use also applies to the measurement of different components of the atmosphere, for example, quadrotor for gaseous [ 31 ] and aerosol [ 25 ], and hexacopter for the airflow field in a hover state [ 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

Developing of Low-Cost Air Pollution Sensor—Measurements with the Unmanned Aerial Vehicles in Poland

Pochwała

Gardecki

Lewandowski

et al. 2020

Sensors

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This article presents the capabilities and selected measurement results from the newly developed low-cost air pollution measurement system mounted on an unmanned aerial vehicle (UAV). The system is designed and manufactured by the authors and is intended to facilitate, accelerate, and ensure the safety of operators when measuring air pollutants. It allows the creation of three-dimensional models and measurement visualizations, thanks to which it is possible to observe the location of leakage of substances and the direction of air pollution spread by various types of substances. Based on these models, it is possible to create area audits and strategies for the elimination of pollution sources. Thanks to the usage of a multi-socket microprocessor system, the combination of nine different air quality sensors can be installed in a very small device. The possibility of simultaneously measuring several different substances has been achieved at a very low cost for building the sensor unit: 70 EUR. The very small size of this device makes it easy and safe to mount it on a small drone (UAV). Because of this device, many harmful chemical compounds such as ammonia, hexane, benzene, carbon monoxide, and carbon dioxide, as well as flammable substances such as hydrogen and methane, can be detected. Additionally, a very important function is the ability to perform measurements of PM2.5 and PM10 suspended particulates. Thanks to the use of UAV, the measurement is carried out remotely by the operator, which allows us to avoid the direct exposure of humans to harmful factors. A big advantage is the quick measurement of large spaces, at different heights above the ground, in different weather conditions. Because of the three-dimensional positioning from GPS receiver, users can plot points and use colors reflecting a concentration of measured features to better visualize the air pollution. A human-friendly data output can be used to determine the mostly hazardous regions of the sampled area.

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Unmanned Aerial Vehicles for Environmental Monitoring with Special Reference to Heat Loss

Cited by 6 publications

References 7 publications

Current Practices in UAS-based Environmental Monitoring

Current Practices in UAS-based Environmental Monitoring

Environmental Gaseous Sensing Using Sniffer Drone for Urban Development Control

Developing of Low-Cost Air Pollution Sensor—Measurements with the Unmanned Aerial Vehicles in Poland

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