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Готові списки джерел за темами / Observations by UAV / Статті в журналах

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Статті в журналах з теми "Observations by UAV"

Автор: Grafiati

Опубліковано: 23 лютого 2024

Оновлено: 31 липня 2025

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1

Kwak, Kyung-Hwan, Seung-Hyeop Lee, A.-Young Kim, et al. "Daytime Evolution of Lower Atmospheric Boundary Layer Structure: Comparative Observations between a 307-m Meteorological Tower and a Rotary-Wing UAV." Atmosphere 11, no. 11 (2020): 1142. http://dx.doi.org/10.3390/atmos11111142.

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A 307-m tall meteorological tower was used to evaluate meteorological observation data obtained using a rotary-wing unmanned aerial vehicle (UAV). A comparative study between the tower and UAV observations was conducted during the daytime (06:00 to 19:00 local time (LT)) in the summer of 2017 (16–18th August). Hourly vertical profiles of air temperature, relative humidity, black carbon (BC), and ozone (O3) concentrations were obtained for up to 300 m height. Statistical metrics for evaluating the accuracy of UAV observations against the tower observation showed positive (potential temperature)

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2

Liu, Jianli, Xiaohan Liao, Huping Ye, et al. "UAV Swarm Scheduling Method for Remote Sensing Observations during Emergency Scenarios." Remote Sensing 14, no. 6 (2022): 1406. http://dx.doi.org/10.3390/rs14061406.

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Recently, unmanned aerial vehicle (UAV) remote sensing has been widely used in emergency scenarios; the operating mode has transitioned from one UAV to multiple UAVs. However, the current multiple-UAV remote sensing mode is characterized by high labor costs and limited operational capabilities; meanwhile, there is no suitable UAV swarm scheduling method that can be applied to remote sensing in emergency scenarios. To solve these problems, this study proposes a UAV swarm scheduling method. Firstly, the tasks were formulated and decomposed according to the data requirements and the maximum fligh

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3

Tsioutis, Charalambos, Christos Makridis, and Stelios Timotheou. "SUAVPy: A SUMO Plugin for UAV-Based Ground Traffic Sensing." SUMO Conference Proceedings 6 (July 15, 2025): 65–77. https://doi.org/10.52825/scp.v6i.2610.

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In recent years, Unmanned Aerial Vehicles (UAVs) have emerged as effective tools for traffic monitoring and control by offering high-resolution, aerial observations of vehicular movement. Although UAV simulation is well established, tools to capture microscopic traffic measurements from UAV-based observations remain limited. This paper introduces SUMO-UAV-Py, an open-source SUMO plugin that integrates UAV-based sensing into microscopic traffic simulations in Python. SUMO-UAV-Py captures detailed vehicle observations by dynamically employing multiple UAVs to observe traffic measurements based o

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4

Xiang, Xingyu, Kuang Xiao, Xing Wang, et al. "Application of Unmanned Aerial Vehicle Observation for Estimating City-Scale Anthropogenic CO2 Emissions: A Case Study in Chengdu, Southwestern China." Atmosphere 16, no. 6 (2025): 713. https://doi.org/10.3390/atmos16060713.

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The accurate quantification of urban anthropogenic CO2 emissions is of paramount importance for comprehending regional carbon fluxes and supporting climate change mitigation strategies. This study explores the applicability of a cost-effective unmanned aerial vehicle (UAV)-based mass balance method for independent urban-scale emission assessments. An integrated air–ground–satellite observation framework was established by combining UAV-based vertical CO2 profiles, ground-based observations, and ERA5 reanalysis data, and applied to quantify CO2 emissions in Chengdu, a major city in southwestern

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5

Yang, Bin, Wanxue Zhu, Ehsan Eyshi Rezaei, Jing Li, Zhigang Sun, and Junqiang Zhang. "The Optimal Phenological Phase of Maize for Yield Prediction with High-Frequency UAV Remote Sensing." Remote Sensing 14, no. 7 (2022): 1559. http://dx.doi.org/10.3390/rs14071559.

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Unmanned aerial vehicle (UAV)-based multispectral remote sensing effectively monitors agro-ecosystem functioning and predicts crop yield. However, the timing of the remote sensing field campaigns can profoundly impact the accuracy of yield predictions. Little is known on the effects of phenological phases on skills of high-frequency sensing observations used to predict maize yield. It is also unclear how much improvement can be gained using multi-temporal compared to mono-temporal data. We used a systematic scheme to address those gaps employing UAV multispectral observations at nine developme

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6

Gao, Sha, Shu Gan, Xiping Yuan, et al. "Experimental Study on 3D Measurement Accuracy Detection of Low Altitude UAV for Repeated Observation of an Invariant Surface." Processes 10, no. 1 (2021): 4. http://dx.doi.org/10.3390/pr10010004.

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Low-altitude unmanned aerial vehicle (UAV) photogrammetry combined with structure-from-motion (SFM) algorithms is the latest technological approach to imaging 3D stereo constructions. At present, derivative products have been widely used in landslide monitoring, landscape evolution, glacier movement, volume measurement, and landscape change detection. However, there is still a lack of research into the accuracy of 3D data positioning based on the structure-from-motion of unmanned aerial vehicle (UAV-SFM) technology, itself, which can affect the measurable effectiveness of the results in furthe

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7

Chen, Xiaotong, Qin Li, Ronghao Li, Xiangyuan Cai, Jiangnan Wei, and Hongying Zhao. "UAV Network Path Planning and Optimization Using a Vehicle Routing Model." Remote Sensing 15, no. 9 (2023): 2227. http://dx.doi.org/10.3390/rs15092227.

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Unmanned aerial vehicle (UAV) remote sensing has been applied in various fields due to its rapid implementation ability and high-resolution imagery. Single-UAV remote sensing has low efficiency and struggles to meet the growing demands of complex aerial remote sensing tasks, posing challenges for practical applications. Using multiple UAVs or a UAV network for remote sensing applications can overcome the difficulties and provide large-scale ultra-high-resolution data rapidly. UAV network path planning is required for these important applications. However, few studies have investigated UAV netw

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8

Ibrahim, A., Y. O. Afonja, D. Omale, et al. "Assessment of Unmanned Aerial Vehicle Versus Terrestrial Method of Topographic Surveying." Environmental Technology and Science Journal 16, no. 1 (2025): 89–101. https://doi.org/10.4314/etsj.v16i1.9.

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Advancement in technology gave birth to different survey methods. This study conducted a comparative analysis of topographic survey methods, focusing on the effectiveness of Unmanned Aerial Vehicle (UAV) and traditional terrestrial method for surveying the topography over accessible and inaccessible areas within Awe High School in the Afijio Local Government Area of Oyo State. The terrestrial survey involved implementing conventional survey methods to establish three second-order control points, conduct boundary surveys, spot height measurements, detail surveys, and strategical positioning of

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9

Tsutsumi, Masataka, Shin-Ichiro Higashino, and Masahiko Hayashi. "Development of a UAV Flight Control Computer for High Altitude Environments and the Results of Observation Flights in Antarctica." Journal of Robotics and Mechatronics 36, no. 5 (2024): 1179–88. http://dx.doi.org/10.20965/jrm.2024.p1179.

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The authors have been developing small fixed-wing unmanned aerial vehicles (UAVs) for use in various scientific observations. For example, in Antarctica, atmospheric observations have been conducted using a combination of a balloon and UAV. In Ethiopia, wide-area magnetic field observations have been conducted using a UAV capable of long-range flights. These UAVs are equipped with an in-house flight control computer and are capable of automatic flights. However, although approximately 20 years have passed since the development of this computer, issues such as inadequate computing power and mem

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10

Amalia, Nabila, Syamsidik Syamsidik, and Nazli Ismail. "Spatio-Temporal Analysis of Ground Movement Using Unmanned Aerial Vehicle Photogrammetry in Gampong Lamkleng, Aceh Besar." International Journal of Disaster Management 6, no. 1 (2023): 61–74. http://dx.doi.org/10.24815/ijdm.v6i1.31770.

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Ground movement is one of the most frequent disasters causing major damages in Indonesia. Unmanned Aerial Vehicle (UAV) has been widely used as a rapid observation method to obtain detailed characterization of ground movement. Often, active landslide area is difficult to access. This hinders close monitoring and observations of the ground movement. This study aims to demonstrate the use of UAV as tools for monitoring and observations on active ground movement area and to validate the results. For this purpose, the study was conducted at Gampong Lamkleng, Aceh Besar-Indonesia using spatio-tempo

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11

Kezoudi, Maria, Christos Keleshis, Panayiota Antoniou, et al. "The Unmanned Systems Research Laboratory (USRL): A New Facility for UAV-Based Atmospheric Observations." Atmosphere 12, no. 8 (2021): 1042. http://dx.doi.org/10.3390/atmos12081042.

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The Unmanned Systems Research Laboratory (USRL) of the Cyprus Institute is a new mobile exploratory platform of the EU Research Infrastructure Aerosol, Clouds and Trace Gases Research InfraStructure (ACTRIS). USRL offers exclusive Unmanned Aerial Vehicle (UAV)-sensor solutions that can be deployed anywhere in Europe and beyond, e.g., during intensive field campaigns through a transnational access scheme in compliance with the drone regulation set by the European Union Aviation Safety Agency (EASA) for the research, innovation, and training. UAV sensor systems play a growing role in the portfol

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12

Kral, Stephan, Joachim Reuder, Timo Vihma, et al. "Innovative Strategies for Observations in the Arctic Atmospheric Boundary Layer (ISOBAR)—The Hailuoto 2017 Campaign." Atmosphere 9, no. 7 (2018): 268. http://dx.doi.org/10.3390/atmos9070268.

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The aim of the research project “Innovative Strategies for Observations in the Arctic Atmospheric Boundary Layer (ISOBAR)” is to substantially increase the understanding of the stable atmospheric boundary layer (SBL) through a combination of well-established and innovative observation methods as well as by models of different complexity. During three weeks in February 2017, a first field campaign was carried out over the sea ice of the Bothnian Bay in the vicinity of the Finnish island of Hailuoto. Observations were based on ground-based eddy-covariance (EC), automatic weather stations (AWS) a

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13

Revill, Andrew, Anna Florence, Alasdair MacArthur, Stephen Hoad, Robert Rees, and Mathew Williams. "Quantifying Uncertainty and Bridging the Scaling Gap in the Retrieval of Leaf Area Index by Coupling Sentinel-2 and UAV Observations." Remote Sensing 12, no. 11 (2020): 1843. http://dx.doi.org/10.3390/rs12111843.

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Leaf area index (LAI) estimates can inform decision-making in crop management. The European Space Agency’s Sentinel-2 satellite, with observations in the red-edge spectral region, can monitor crops globally at sub-field spatial resolutions (10–20 m). However, satellite LAI estimates require calibration with ground measurements. Calibration is challenged by spatial heterogeneity and scale mismatches between field and satellite measurements. Unmanned Aerial Vehicles (UAVs), generating high-resolution (cm-scale) LAI estimates, provide intermediary observations that we use here to characterise unc

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14

Harder, Phillip, Warren D. Helgason, and John W. Pomeroy. "Measuring prairie snow water equivalent with combined UAV-borne gamma spectrometry and lidar." Cryosphere 18, no. 7 (2024): 3277–95. http://dx.doi.org/10.5194/tc-18-3277-2024.

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Abstract. Despite decades of effort, there remains an inability to measure snow water equivalent (SWE) at high spatial resolutions using remote sensing. Passive gamma ray spectrometry is one of the only well-established methods to reliably remotely sense SWE, but airborne applications to date have been limited to observing kilometre-scale areal averages. Noting the increasing capabilities of unoccupied aerial vehicles (UAVs) and miniaturization of passive gamma ray spectrometers, this study tested the ability of a UAV-borne gamma spectrometer and concomitant UAV-borne lidar to quantify the spa

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15

Matsuba, Yoshinao, Takenori Shimozono, and Yoshimitsu Tajima. "OBSERVATION OF NEARSHORE WAVE-WAVE INTERACTION USING UAV." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 12. http://dx.doi.org/10.9753/icce.v36.waves.12.

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Infragravity waves, generated by nearshore wave-wave interaction, potentially increase the coastal hazard. Lack of detailed observation of nearshore wave fields however makes it difficult to fully understand the behavior of infragravity waves under wave-wave interactions. These days, UAVs (Unmanned Aerial Vehicles) have enabled us to easily capture the top-view images of the dynamic nearshore behavior with sufficiently high spatial and temporal resolutions. In this study, we conducted UAV-based observations of cross-shore variations of wave spectral characteristics to clarify the nearshore wav

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16

Budianti, Noviana, Masaaki Naramoto, and Atsuhiro Iio. "Drone-Sensed and Sap Flux-Derived Leaf Phenology in a Cool Temperate Deciduous Forest: A Tree-Level Comparison of 17 Species." Remote Sensing 14, no. 10 (2022): 2505. http://dx.doi.org/10.3390/rs14102505.

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Understanding the relationship between leaf phenology and physiological properties has important implications for improving ecosystem models of biogeochemical cycling. However, previous studies have investigated such relationships only at the ecosystem level, limiting the biological interpretation and application of the observed relationships due to the complex vegetation structure of forest ecosystems. Additionally, studies focusing on transpiration are generally limited compared to those on photosynthesis. Thus, we investigated the relationship between stem sap flux density (SFD) and crown l

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17

Tamondong, A., T. Nakamura, Y. Kobayashi, M. Garcia, and K. Nadaoka. "INVESTIGATING THE EFFECTS OF RIVER DISCHARGES ON SUBMERGED AQUATIC VEGETATION USING UAV IMAGES AND GIS TECHNIQUES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-5-2020 (August 3, 2020): 93–99. http://dx.doi.org/10.5194/isprs-annals-v-5-2020-93-2020.

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Abstract. One of the major factors controlling the distribution and abundance of marine submerged aquatic vegetation (SAV) is light availability. Reduced water clarity due to sediment loading from rivers greatly affects the health and coverage of seagrasses and seaweeds. Monitoring SAV using unmanned aerial vehicles (UAV) has been getting attention because of its cost-effectiveness and ease of use. In this research, a low-cost UAV was utilized to assess the impacts of river discharges on SAV in Busuanga Island, Philippines. Linear regression was performed to determine the effectivity and accur

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18

Chen, Chunpeng, Bo Tian, Wenting Wu, Yuanqiang Duan, Yunxuan Zhou, and Ce Zhang. "UAV Photogrammetry in Intertidal Mudflats: Accuracy, Efficiency, and Potential for Integration with Satellite Imagery." Remote Sensing 15, no. 7 (2023): 1814. http://dx.doi.org/10.3390/rs15071814.

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The rapid, up-to-date, cost-effective acquisition and tracking of intertidal topography are the fundamental basis for timely, high-priority protection and restoration of the intertidal zone. The low cost, ease of use, and flexible UAV-based photogrammetry have revolutionized the monitoring of intertidal zones. However, the capability of the RTK-assisted UAV photogrammetry without ground control points, the impact of flight configuration difference, the presence of surface water in low-lying intertidal areas on the photogrammetric accuracy, and the potential of UAV/satellite Synergy remain unkn

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19

Shimura, Tomoya, Minoru Inoue, Hirofumi Tsujimoto, Kansuke Sasaki, and Masato Iguchi. "Estimation of Wind Vector Profile Using a Hexarotor Unmanned Aerial Vehicle and Its Application to Meteorological Observation up to 1000 m above Surface." Journal of Atmospheric and Oceanic Technology 35, no. 8 (2018): 1621–31. http://dx.doi.org/10.1175/jtech-d-17-0186.1.

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AbstractSmall unmanned aerial vehicles (UAVs), also known as drones, have recently become promising tools in various fields. We investigated the feasibility of wind vector profile measurement using an ultrasonic anemometer installed on a 1-m-wide hexarotor UAV. Wind vectors measured by the UAV were compared to observations by a 55-m-high meteorological tower, over a wide range of wind speed conditions up to 11 m s−1, which is a higher wind speed range than those used in previous studies. The wind speeds and directions measured by the UAV and the tower were in good agreement, with a root-mean-s

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20

Brosy, Caroline, Karina Krampf, Matthias Zeeman, et al. "Simultaneous multicopter-based air sampling and sensing of meteorological variables." Atmospheric Measurement Techniques 10, no. 8 (2017): 2773–84. http://dx.doi.org/10.5194/amt-10-2773-2017.

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Abstract. The state and composition of the lowest part of the planetary boundary layer (PBL), i.e., the atmospheric surface layer (SL), reflects the interactions of external forcing, land surface, vegetation, human influence and the atmosphere. Vertical profiles of atmospheric variables in the SL at high spatial (meters) and temporal (1 Hz and better) resolution increase our understanding of these interactions but are still challenging to measure appropriately. Traditional ground-based observations include towers that often cover only a few measurement heights at a fixed location. At the same

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21

Cucci, Davide Antonio, Martin Rehak, and Jan Skaloud. "Bundle adjustment with raw inertial observations in UAV applications." ISPRS Journal of Photogrammetry and Remote Sensing 130 (August 2017): 1–12. http://dx.doi.org/10.1016/j.isprsjprs.2017.05.008.

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22

Chen, Peng-Peng, Kui-Yuan Zhang, Shou-Wan Gao, and Si-Yi Ren. "UAV Localization with Unreliable Observations in Hostile Underground Environments." Journal of Computer Science and Technology 39, no. 6 (2024): 1401–18. https://doi.org/10.1007/s11390-024-3020-0.

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23

Tripp, Daniel D., Elinor R. Martin, and Heather D. Reeves. "Applications of Uncrewed Aerial Vehicles (UAVs) in Winter Precipitation-Type Forecasts." Journal of Applied Meteorology and Climatology 60, no. 3 (2021): 361–75. http://dx.doi.org/10.1175/jamc-d-20-0047.1.

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AbstractTemperature and humidity profiles in the lowest 3 km of the atmosphere provide crucial information in determining the precipitation type, which aids forecasters in relaying winter-weather risks. In response to the challenges associated with forecasting mixed-phase environments, this study employs uncrewed aerial vehicles (UAVs) to explore the efficacy of high-resolution temporal and vertical measurements in winter-weather environments. On 19 February 2019, boundary layer measurements of an Oklahoma winter storm were collected by a UAV and radiosondes. UAV observations show a pronounced

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24

Zhu, Xiaohua, Xinyu Chen, Lingling Ma, and Wei Liu. "UAV and Satellite Synergies for Mapping Grassland Aboveground Biomass in Hulunbuir Meadow Steppe." Plants 13, no. 7 (2024): 1006. http://dx.doi.org/10.3390/plants13071006.

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Aboveground biomass (AGB) is an important indicator of the grassland ecosystem. It can be used to evaluate the grassland productivity and carbon stock. Satellite remote sensing technology is useful for monitoring the dynamic changes in AGB across a wide range of grasslands. However, due to the scale mismatch between satellite observations and ground surveys, significant uncertainties and biases exist in mapping grassland AGB from satellite data. This is also a common problem in low- and medium-resolution satellite remote sensing modeling that has not been effectively solved. The rapid developm

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25

Zheng, Fengxun, Xiaofei Wang, Jiangtao Ji, et al. "Synchronous Retrieval of LAI and Cab from UAV Remote Sensing: Development of Optimal Estimation Inversion Framework." Agronomy 13, no. 4 (2023): 1119. http://dx.doi.org/10.3390/agronomy13041119.

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UAV (unmanned aerial vehicle) remote sensing provides the feasibility of high-throughput phenotype nondestructive acquisition at the field scale. However, accurate remote sensing of crop physicochemical parameters from UAV optical measurements still needs to be further studied. For this purpose, we put forward a crop phenotype inversion framework based on the optimal estimation (OE) theory in this paper, originating from UAV low-altitude hyperspectral/multispectral data. The newly developed unified linearized vector radiative transfer model (UNL-VRTM), combined with the classical PROSAIL model

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26

Budianti, Noviana, Hiromi Mizunaga, and Atsuhiro Iio. "Crown Structure Explains the Discrepancy in Leaf Phenology Metrics Derived from Ground- and UAV-Based Observations in a Japanese Cool Temperate Deciduous Forest." Forests 12, no. 4 (2021): 425. http://dx.doi.org/10.3390/f12040425.

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Unmanned aerial vehicles (UAV) provide a new platform for monitoring crown-level leaf phenology due to the ability to cover a vast area while offering branch-level image resolution. However, below-crown vegetation, e.g., understory vegetation, subcanopy trees, and the branches of neighboring trees, along with the multi-layered structure of the target crown may significantly reduce the accuracy of UAV-based estimates of crown leaf phenology. To test this hypothesis, we compared UAV-derived crown leaf phenology results against those based on ground observations at the individual tree scale for 1

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27

Avilés-Viñas, Jaime, Roberto Carrasco-Alvarez, Javier Vázquez-Castillo, et al. "An Accurate UAV Ground Landing Station System Based on BLE-RSSI and Maximum Likelihood Target Position Estimation." Applied Sciences 12, no. 13 (2022): 6618. http://dx.doi.org/10.3390/app12136618.

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Earth observation with unmanned aerial vehicles (UAVs) offers an extraordinary opportunity to bridge the gap between field observations and traditional air and space-borne remote sensing. In this regard, ground landing stations (GLS) systems play a central role to increase the time and area coverage of UAV missions. Bluetooth low energy (BLE) technology and the received signal strength indicator (RSSI) techniques have been proposed for target location during UAV landing. However, these RSSI-based techniques present a lack of precision due to the propagation medium characteristics, which leads

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28

Sun, Yuan. "Autonomous Integrity Monitoring for Relative Navigation of Multiple Unmanned Aerial Vehicles." Remote Sensing 13, no. 8 (2021): 1483. http://dx.doi.org/10.3390/rs13081483.

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Accurate and reliable relative navigation is the prerequisite to guarantee the effectiveness and safety of various multiple Unmanned Aerial Vehicles (UAVs) cooperation tasks, when absolute position information is unavailable or inaccurate. Among the UAV navigation techniques, Global Navigation Satellite System (GNSS) is widely used due to its worldwide coverage and simplicity in relative navigation. However, the observations of GNSS are vulnerable to different kinds of faults arising from transmission degradation, ionospheric scintillations, multipath, spoofing, and many other factors. In an e

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29

Kim, Min-Seong, and Byung Hyuk Kwon. "Estimation of Sensible Heat Flux and Atmospheric Boundary Layer Height Using an Unmanned Aerial Vehicle." Atmosphere 10, no. 7 (2019): 363. http://dx.doi.org/10.3390/atmos10070363.

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In this work, sensible heat flux estimated using a bulk transfer method was validated with a three-dimensional ultrasonic anemometer or surface layer scintillometer at various sites. Results indicate that it remains challenging to obtain temperature and wind speed at an appropriate reference height. To overcome this, alternative observations using an unmanned aerial vehicle (UAV) were considered. UAV-based wind speed and sensible heat flux were indirectly estimated and atmospheric boundary layer (ABL) height was then derived using the sensible heat flux data. UAV-observed air temperature was m

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30

Wang, Rui, Kan Wu, Qimin He, Yibo He, Yuanyuan Gu, and Shuang Wu. "A Novel Method of Monitoring Surface Subsidence Law Based on Probability Integral Model Combined with Active and Passive Remote Sensing Data." Remote Sensing 14, no. 2 (2022): 299. http://dx.doi.org/10.3390/rs14020299.

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For the accurate and high-precision measurement of the deformation field in mining areas using different data sources, the probability integral model was used to process deformation data obtained from an Unmanned Aerial Vehicle (UAV), Differential InSAR (DInSAR), and Small Baseline Subset InSAR (SBAS-InSAR) to obtain the complete deformation field. The SBAS-InSAR, DInSAR, and UAV can be used to obtain small-scale, mesoscale, and large-scale deformations, respectively. The three types of data were all superimposed by the Kriging interpolation, and the deformation field was integrated using the

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31

Sagan, V., M. Maimaitijiang, P. Sidike, et al. "UAV/SATELLITE MULTISCALE DATA FUSION FOR CROP MONITORING AND EARLY STRESS DETECTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 715–22. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-715-2019.

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<p><strong>Abstract.</strong> Early stress detection is critical for proactive field management and terminal yield prediction, and can aid policy making for improved food security in the context of climate change and population growth. Field surveys for crop monitoring are destructive, labor-intensive, time-consuming and not ideal for large-scale spatial and temporal monitoring. Recent technological advances in Unmanned Aerial Vehicle (UAV) and high-resolution satellite imaging with frequent revisit time have proliferated the applications of this emerging new technology in pr

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Xin, Yonghui, Ran Wang, Xi Wang, Xingwei Wang, Zhouxuan Xiao, and Jingyu Lin. "High-Resolution Terrain Reconstruction of Slot Canyon Using Backpack Mobile Laser Scanning and UAV Photogrammetry." Drones 6, no. 12 (2022): 429. http://dx.doi.org/10.3390/drones6120429.

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Accurate terrain models are critical for studying the formation and development of slot canyons. However, for slot canyon landforms, it is challenging to generate comprehensive and high-resolution morphological data by individual observation due to the inaccessibility of steep walls on either side and the complexity of the field observation environment, such as variable-slope terrain, partial vegetation cover, and lack of satellite signal. Off-the-shelf surveying techniques, including Unmanned Aerial Vehicles (UAV) photogrammetry and Backpack Mobile Laser Scanning (BMLS), facilitate slot canyo

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Mihailescu, Cristina, and Ioan Farcasan. "Mathematical Model for Studying the Evolution of Multi-Role Unmanned Aerial Vehicle in Turbulent Atmosphere." Applied Mechanics and Materials 325-326 (June 2013): 984–89. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.984.

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The paper purpose is to present some aspects regarding the control system of unmanned aerial vehicle - UAV, used for local observations, surveillance and monitoring of interest area or as a training target for anti-aircraft systems. The calculus methodology allows a numerical simulation of UAV evolution in bad atmospheric conditions by using a nonlinear model, as well as a linear one for obtaining the guidance command. The UAV model which will be presented has six DOF (degrees of freedom), and an autonomous control system. This theoretical development allows us to build the stability matrix, c

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Jiang, Liguang, Filippo Bandini, Ole Smith, Inger Klint Jensen, and Peter Bauer-Gottwein. "The Value of Distributed High-Resolution UAV-Borne Observations of Water Surface Elevation for River Management and Hydrodynamic Modeling." Remote Sensing 12, no. 7 (2020): 1171. http://dx.doi.org/10.3390/rs12071171.

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Water level or water surface elevation (WSE) is an important state variable of rivers, lakes, and wetlands. Hydrodynamic models of rivers and streams simulate WSE and can benefit from spatially distributed WSE observations, to increase model reliability and predictive skill. This has been partially addressed by satellite radar altimetry, but satellite altimetry is unable to deliver useful data for small rivers. To overcome such limitations, we deployed a radar altimetry system on an unmanned aerial vehicle (UAV), to map spatially distributed WSE. We showed that UAV altimetry can provide observ

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35

Chen, Yu, Qi Dong, Xiaozhou Shang, Zhenyu Wu, and Jinyu Wang. "Multi-UAV Autonomous Path Planning in Reconnaissance Missions Considering Incomplete Information: A Reinforcement Learning Method." Drones 7, no. 1 (2022): 10. http://dx.doi.org/10.3390/drones7010010.

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Unmanned aerial vehicles (UAVs) are important in reconnaissance missions because of their flexibility and convenience. Vitally, UAVs are capable of autonomous navigation, which means they can be used to plan safe paths to target positions in dangerous surroundings. Traditional path-planning algorithms do not perform well when the environmental state is dynamic and partially observable. It is difficult for a UAV to make the correct decision with incomplete information. In this study, we proposed a multi-UAV path planning algorithm based on multi-agent reinforcement learning which entails the ad

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Zhao, Chuanxi, Shengyu Kang, Yihan Fan, et al. "Unmanned Aerial Vehicle Technology for Glaciology Research in the Third Pole." Drones 9, no. 4 (2025): 254. https://doi.org/10.3390/drones9040254.

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The Third Pole region contains vast glaciers, and changes in these glaciers profoundly affect the lives and development of billions of people. Therefore, accurate glacier monitoring in this region is of great scientific and practical significance. Unmanned Aerial Vehicles (UAVs) provide high-resolution observation capabilities and flexible deployment options, effectively overcoming certain limitations associated with traditional in situ and satellite remote sensing observations. Thus, UAV technology is increasingly gaining traction and application in the glaciology community. This review syste

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Throneberry, Glen, Adam Takeshita, Christopher Michael Hocut, Fangjun Shu, and Abdessattar Abdelkefi. "Wake Propagation and Characteristics of a Multi-Rotor Unmanned Vehicle in Forward Flight." Drones 6, no. 5 (2022): 130. http://dx.doi.org/10.3390/drones6050130.

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In this study, experimental investigations are used to explore the wake propagation and characteristics of a multi-rotor unmanned air vehicle (UAV) in a forward flight mission. Qualitative smoke visualization is used first to gain a qualitative understanding of wake characteristics above and below the body of the multi-rotor UAV which is used as guidance for quantitative particle image velocimetry (PIV) experiments which better resolve the region in the vicinity of the multi-rotor UAV body. The experimental results over a wide range of advance ratios show that as the advance ratio increases, a

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Atkins, Jeff W., Atticus E. L. Stovall, and Xi Yang. "Mapping Temperate Forest Phenology Using Tower, UAV, and Ground-Based Sensors." Drones 4, no. 3 (2020): 56. http://dx.doi.org/10.3390/drones4030056.

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Phenology is a distinct marker of the impacts of climate change on ecosystems. Accordingly, monitoring the spatiotemporal patterns of vegetation phenology is important to understand the changing Earth system. A wide range of sensors have been used to monitor vegetation phenology, including digital cameras with different viewing geometries mounted on various types of platforms. Sensor perspective, view-angle, and resolution can potentially impact estimates of phenology. We compared three different methods of remotely sensing vegetation phenology—an unoccupied aerial vehicle (UAV)-based, downwar

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Feng, Xiaowei, Zezhou Yang, and Yuan Nie. "Investigation of the Overall Damage Assessment Method Used for Unmanned Aerial Vehicles Subjected to Blast Waves." Aerospace 11, no. 8 (2024): 651. http://dx.doi.org/10.3390/aerospace11080651.

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With the aim of investigating the assessment methodology for the overall damage effects on an unmanned aerial vehicle (UAV) subjected to a blast wave, the failure criteria for the typical UAV was formulated through an analysis of the structural strength design standards. Specifically, the shear force associated with wing failure can serve as a critical parameter for assessing the overall damage inflicted on the UAV by blast waves. According to the design load criterion of the aircraft, the shear force value corresponding to the overall failure of the typical UAV was calculated. Numerical simul

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KRASUSKI, Kamil, Damian WIERZBICKI, Małgorzata KIRSCHENSTEIN, Marta ŻUKOWSKA, and Paweł GOŁDA. "ACCURACY ANALYSIS OF UAV COORDINATES USING EGNOS AND SDCM AUGMENTATION SYSTEMS." Scientific Journal of Silesian University of Technology. Series Transport 123 (June 30, 2024): 75–100. http://dx.doi.org/10.20858/sjsutst.2024.123.4.

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SBAS systems are applied in precise positioning of UAV. The paper presents the results of studies on the improvement of UAV positioning with the use of the EGNOS+SDCM solutions. In particular, the article focuses on the application of the model of totaling the SBAS positioning accuracy to improve the accuracy of determining the coordinates of UAVs during the realisation of a test flight. The developed algorithm takes into account the position errors determined from the EGNOS and SDCM solutions. as well as the linear coefficients that are used in the linear combination model. The research was b

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Абрамов, Сергей Клавдиевич, Виктория Валерьевна Абрамова, Клавдий Данилович Абрамов, Владимир Васильевич Лукин, Василий Владимирович Бондарь та Игорь Владимирович Калужинов. "МЕТОДИКА ОПРЕДЕЛЕНИЯ ПОЛЯ ОБНАРУЖЕНИЯ БЕСПИЛОТНЫХ ЛЕТАТЕЛЬНЫХ АППАРАТОВ НАЗЕМНЫМ НАБЛЮДАТЕЛЕМ". RADIOELECTRONIC AND COMPUTER SYSTEMS, № 3 (28 вересня 2020): 36–42. http://dx.doi.org/10.32620/reks.2020.3.04.

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The widespread use of small-sized unmanned aerial vehicles (UAVs) makes it urgent to control their use in the airspace over strategic infrastructure facilities. The design features of UAVs provide them with low visibility in all existing observation ranges: radar, visual, thermal, and acoustic. In this regard, for the reliable detection of such aircraft, it is necessary to use complex systems that conduct simultaneous observations in all available ranges. To optimize the location of such systems, the problem arises of determining the fields of reliable detection of UAVs for each of the means i

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Martins, Benjamim Hopffer, Motoyuki Suzuki, Putu Edi Yastika, and Norikazu Shimizu. "Ground Surface Deformation Detection in Complex Landslide Area—Bobonaro, Timor-Leste—Using SBAS DInSAR, UAV Photogrammetry, and Field Observations." Geosciences 10, no. 6 (2020): 245. http://dx.doi.org/10.3390/geosciences10060245.

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During the past 10 years, Timor-Leste has concentrated all its efforts on infrastructure development. However, it has not achieved enough due to unexpected ground deformation in mountainous areas that is seriously affecting road constructions, etc. In order to design roads and other infrastructure under such difficult conditions, it is important to know the present and future ground conditions. Continuous monitoring is a significant methods of detecting ground deformation and providing essential information to realize an effective design. The problem arises of “How can ground deformation be mo

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Wu, Songhua, Qichao Wang, Bingyi Liu, Jintao Liu, Kailin Zhang, and Xiaoquan Song. "UAV-borne coherent doppler lidar for marine atmospheric boundary layer observations." EPJ Web of Conferences 176 (2018): 02012. http://dx.doi.org/10.1051/epjconf/201817602012.

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A compact UAV-borne Coherent Doppler Lidar (UCDL) has been developed at the Ocean University of China for the observation of wind profile and boundary layer structure in Marine Atmospheric Boundary Layer (MABL). The design, specifications and motion-correction methodology of the UCDL are presented. Preliminary results of the first flight campaign in Hailing Island in December 2016 is discussed.

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Yang, Suding, Xin Li, Limin Zeng, et al. "Development of multi-channel whole-air sampling equipment onboard an unmanned aerial vehicle for investigating volatile organic compounds' vertical distribution in the planetary boundary layer." Atmospheric Measurement Techniques 16, no. 2 (2023): 501–12. http://dx.doi.org/10.5194/amt-16-501-2023.

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Abstract. To achieve near-continuous vertical observations of volatile organic compounds (VOCs) in the planetary boundary layer (PBL), multi-channel whole-air sampling equipment onboard an unmanned aerial vehicle (UAV) platform was developed in this study. The equipment consists of a multi-position solenoid valve and specially designed lightweight quartz sampling canisters. The canisters have little adsorption loss of VOCs and good inter-canister reproducibility. The 7 d recovery test shows that most VOC species (97 %) had a 1-week decay within 20 %. Online instruments for measuring O3, NO2, C

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Chalkley, Richard, Rich Andrew Crane, Matthew Eyre, Kathy Hicks, Kim-Marie Jackson, and Karen A. Hudson-Edwards. "A Multi-Scale Feasibility Study into Acid Mine Drainage (AMD) Monitoring Using Same-Day Observations." Remote Sensing 15, no. 1 (2022): 76. http://dx.doi.org/10.3390/rs15010076.

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Globally, many mines emit acid mine drainage (AMD) during and after their operational life cycle. AMD can affect large and often inaccessible areas. This leads to expensive monitoring via conventional ground-based sampling. Recent advances in remote sensing which are both non-intrusive and less time-consuming hold the potential to unlock a new paradigm of automated AMD analysis. Herein, we test the feasibility of remote sensing as a standalone tool to map AMD at various spatial resolutions and altitudes in water-impacted mining environments. This was achieved through the same-day collection of

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Liu, Wenchao, Jie Wang, Yang Hu, et al. "Mapping Shrub Biomass at 10 m Resolution by Integrating Field Measurements, Unmanned Aerial Vehicles, and Multi-Source Satellite Observations." Remote Sensing 16, no. 16 (2024): 3095. http://dx.doi.org/10.3390/rs16163095.

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Accurately estimating shrub biomass in arid and semi-arid regions is critical for understanding ecosystem productivity and carbon stocks at both local and global scales. Due to the short and sparse features of shrubs, capturing the shrub biomass accurately by satellite observations is challenging. Previous studies mostly used ground samples and satellite observations to estimate shrub biomass by establishing a direct connection, which was often hindered by the limited number of ground samples and spatial scale mismatch between samples and observations. Unmanned aerial vehicles (UAVs) provide o

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Yogiswara, Agus Sukma, Takahiro Osawa, I. Wayan Nuarsa, and Abd Rahman As-syakur. "CARBON STOCKS ESTIMATION ON URBAN VEGETATION USING UAV-SfM PHOTOGRAMMETRY METHOD." ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) 17, no. 1 (2023): 42. http://dx.doi.org/10.24843/ejes.2023.v17.i01.p04.

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Global warming and biodiversity loss are two critical issues currently debated among scientists and world policy makers. Forest retention and various reforestation and reforestation programs can play an important role in mitigating global climate change through sequestering atmospheric carbon. Forests are still the subject of discussion of the negotiations and exclude the contribution of vegetation outside the forest area. In fact, if trees outside the forest are not cut down, it can also reduce carbon emissions in the atmosphere. The lack of evidence regarding its potential and contribution t

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Rogers, Kevin, and Anthony Finn. "Three-Dimensional UAV-Based Atmospheric Tomography." Journal of Atmospheric and Oceanic Technology 30, no. 2 (2013): 336–44. http://dx.doi.org/10.1175/jtech-d-12-00036.1.

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Abstract This paper presents a method for tomographically reconstructing spatially varying three-dimensional atmospheric temperature profiles and wind velocity fields based on passive acoustic travel time measurements between a small unmanned aerial vehicle (UAV) and ground-based microphones. A series of simulations are presented to provide an indication of the performance of the technique. The parametric fields are modeled as the weighted sum of radial basis functions (RBFs) or Fourier series, which also allow local meteorological measurements made at the UAV and ground receivers to supplemen

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Benassai, Guido, Pietro Aucelli, Giorgio Budillon, et al. "Rip current evidence by hydrodynamic simulations, bathymetric surveys and UAV observation." Natural Hazards and Earth System Sciences 17, no. 9 (2017): 1493–503. http://dx.doi.org/10.5194/nhess-17-1493-2017.

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Abstract. The prediction of the formation, spacing and location of rip currents is a scientific challenge that can be achieved by means of different complementary methods. In this paper the analysis of numerical and experimental data, including RPAS (remotely piloted aircraft systems) observations, allowed us to detect the presence of rip currents and rip channels at the mouth of Sele River, in the Gulf of Salerno, southern Italy. The dataset used to analyze these phenomena consisted of two different bathymetric surveys, a detailed sediment analysis and a set of high-resolution wave numerical

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Yang, Bo, Timothy L. Hawthorne, Hannah Torres, and Michael Feinman. "Using Object-Oriented Classification for Coastal Management in the East Central Coast of Florida: A Quantitative Comparison between UAV, Satellite, and Aerial Data." Drones 3, no. 3 (2019): 60. http://dx.doi.org/10.3390/drones3030060.

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High resolution mapping of coastal habitats is invaluable for resource inventory, change detection, and inventory of aquaculture applications. However, coastal areas, especially the interior of mangroves, are often difficult to access. An Unmanned Aerial Vehicle (UAV), equipped with a multispectral sensor, affords an opportunity to improve upon satellite imagery for coastal management because of the very high spatial resolution, multispectral capability, and opportunity to collect real-time observations. Despite the recent and rapid development of UAV mapping applications, few articles have qu

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