Urban Remote Sensing with Spatial Big Data: A Review and Renewed Perspective of Urban Studies in Recent Decades

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(5), P. 1307 - 1307

Published: Feb. 26, 2023

During the past decades, multiple remote sensing data sources, including nighttime light images, high spatial resolution multispectral satellite unmanned drone and hyperspectral among many others, have provided fresh opportunities to examine dynamics of urban landscapes. In meantime, rapid development telecommunications mobile technology, alongside emergence online search engines social media platforms with geotagging has fundamentally changed how human activities landscape are recorded depicted. The combination these two types sources results in explosive mind-blowing discoveries contemporary studies, especially for purposes sustainable planning development. Urban scholars now equipped abundant theoretical arguments that often result from limited indirect observations less-than-ideal controlled experiments. For first time, can model, simulate, predict changes using real-time produce most realistic results, providing invaluable information planners governments aim a healthy future. This current study reviews development, status, future trajectory studies facilitated by advancement big analytical technologies. review attempts serve as bridge between growing “big data” modern communities.

Language: Английский

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Breathing in danger: Understanding the multifaceted impact of air pollution on health impacts

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 280, P. 116532 - 116532

Published: June 7, 2024

Air pollution, a pervasive environmental threat that spans urban and rural landscapes alike, poses significant risks to human health, exacerbating respiratory conditions, triggering cardiovascular problems, contributing myriad of other health complications across diverse populations worldwide. This article delves into the multifarious impacts air utilizing cutting-edge research methodologies big data analytics offer comprehensive overview. It highlights emergence new pollutants, their sources, characteristics, thereby broadening our understanding contemporary quality challenges. The detrimental effects pollution are examined thoroughly, emphasizing both short-term long-term impacts. Particularly vulnerable identified, underscoring need for targeted risk assessments interventions. presents an in-depth analysis global disease burden attributable offering comparative perspective illuminates varying different regions. Furthermore, it addresses economic ramifications quantifying losses, discusses implications public policy care systems. Innovative intervention measures explored, including case studies demonstrating effectiveness. paper also brings light recent discoveries insights in field, setting stage future directions. calls international cooperation tackling underscores crucial role awareness education mitigating its exploration serves not only as scientific discourse but clarion call action against invisible insidious making vital read researchers, policymakers, general public.

Language: Английский

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Leveraging UAVs to Enable Dynamic and Smart Aerial Infrastructure for ITS and Smart Cities: An Overview

Drones, Journal Year: 2023, Volume and Issue: 7(2), P. 79 - 79

Published: Jan. 23, 2023

Micro-unmanned aerial vehicles (UAVs), also known as drones, have been recognized an emerging technology offering a plethora of applications touching various aspects our lives, such surveillance, agriculture, entertainment, and intelligent transportation systems (ITS). Furthermore, due to their low cost ability be fitted with transmitters, cameras, other on-board sensors, UAVs can seen potential flying Internet-of-things (IoT) devices interconnecting environment allowing for more mobile flexibility in the network. This paper overviews beneficial that offer smart cities, particularly ITS, while highlighting main challenges encountered. Afterward, it proposes several solutions organize operation UAV swarms, addressing one issues: battery-limited capacity. Finally, open research areas should undertaken strengthen case become part infrastructure futuristic cities are discussed.

Language: Английский

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Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review

Drones, Journal Year: 2024, Volume and Issue: 8(5), P. 193 - 193

Published: May 12, 2024

This review paper provides insights into optimization strategies for Unmanned Aerial Vehicles (UAVs) in a variety of surveillance tasks and scenarios. From basic path planning to complex mission execution, we comprehensively evaluate the multifaceted role UAVs critical areas such as infrastructure inspection, security surveillance, environmental monitoring, archaeological research, mining applications, etc. The analyzes detail effectiveness specific tasks, including power line bridge inspections, search rescue operations, police activities, monitoring. focus is on integration advanced navigation algorithms artificial intelligence technologies with UAV challenges operating environments. Looking ahead, this predicts trends cooperative networks explores potential more challenging not only researchers comprehensive analysis current state art, but also highlights future research directions, aiming engage inspire readers further explore missions.

Language: Английский

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Unmanned aerial systems in search and rescue: A global perspective on current challenges and future applications

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105199 - 105199

Published: Jan. 1, 2025

Language: Английский

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Real-Time Visual Monitoring and High Spatiotemporal-Resolution Mapping of Air Pollutants Using a Drone-Mass Spectrometer System

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Volatile organic compounds (VOCs) play multifaceted roles in the formation of air pollutants. Real-time online monitoring VOCs is highly needed for understanding their emission sources, environmental impacts, health effects, and climate changes, as many analytical methods are limited to field detection. In this work, a flying-drone-based mass spectrometer (drone-MS) system was developed visual real-time complex mapping diffusions distributions along with spatiotemporal, geospatial, information that varies flight paths. Analytical performances drone-MS were investigated by detecting mixture 18 VOCs, showing high sensitivity (limits detection, LODs: 1.10-17.91 μg/m3; limits quantification, LOQs: 3.84-37.61 μg/m3), good reproducibility (relative standard deviations, RSDs, intraday: 0.96-16.49%; interday: 1.17-18.28%; n = 7), excellent quantitative ability (R2 > 0.99). Online successfully obtained at temporal resolution (1.0 s) spatial (2.0 m), providing an accurate source apportionment different VOC emissions. Furthermore, practical applications urban quality distribution also demonstrated. Overall, methodology offers new possibilities air, effectively tackling longstanding challenge accurately characterizing distributions.

Language: Английский

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A Survey on the Design Aspects and Opportunities in Age-Aware UAV-Aided Data Collection for Sensor Networks and Internet of Things Applications

Drones, Journal Year: 2023, Volume and Issue: 7(4), P. 260 - 260

Published: April 11, 2023

Due to the limitations of sensor devices, including short transmission distance and constrained energy, unmanned aerial vehicles (UAVs) have been recently deployed assist these nodes in transmitting their data. The (SNs) wireless networks (WSNs) or Internet Things (IoT) periodically transmit sensed data UAVs be relayed base station (BS). widely time-sensitive real-time applications, such as disaster areas, due ability destination within a very time. However, timely delivery information by WSN/IoT can complex various technical challenges, flight trajectory control, well considerations scheduling SNs. Recently, Age Information (AoI), metric used measure degree freshness collected data-gathering has gained much attention. Numerous studies proposed solutions overcome above-mentioned adopting several optimization machine learning (ML) algorithms for diverse architectural setups minimize AoI. In this paper, we conduct systematic literature review (SLR) study past on age minimization UAV-assisted architecture determine most important design components. Three crucial aspects AoI were discovered from analyzing 26 selected articles, which focused energy management, trajectory, UAV/SN scheduling. We also investigate issues related identified aspects, example, factors influencing number visited sensors, levels, UAV cooperation, time, velocity charging optimization. Issues node are discussed. addition, future problems traffic prioritization, packet errors, system optimization, UAV-to-sensor association, physical impairments identified.

Language: Английский

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Flying Sensor and Edge Network-Based Advanced Air Mobility Systems: Reliability Analysis and Applications for Urban Monitoring

Drones, Journal Year: 2023, Volume and Issue: 7(7), P. 409 - 409

Published: June 21, 2023

Typical structures of monitoring systems (MSs) that are used in urban complex objects (UCOs) (such as large industrial facilities, power and others) during the post-accident period combined with technologies flying sensor networks (FSNets) edge (FENets) (FSNets FENets); cloud/fog computing artificial intelligence also developed. An FSNets FENets-based MS, composed one Advanced Air Mobility (AAM) classes, which comprise main virtual crisis centers, fleets sensors, nodes, a ground control station, is presented discussed. Reliability survivability models MS for UCOs, considering various operation conditions options redundancy, developed explored. A tool to support research on reliability, survivability, choice parameters described. Crucially, this paper enhances technique assessing using multi-parametrical deterioration characteristics class multi-state systems. Problems may arise when FSNets/FENet-based AAM The results structural basis, set models, calculating reliability systems, distributing processing resources between components, their failure rates, degradation scenarios.

Language: Английский

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An Overview of Using Unmanned Aerial System Mounted Sensors to Measure Plant Above-Ground Biomass

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(14), P. 3543 - 3543

Published: July 14, 2023

Conventional measurement methods for above-ground biomass (AGB) are time-consuming, inaccurate, and labor-intensive. Unmanned aerial systems (UASs) have emerged as a promising solution, but standardized procedure UAS-based AGB estimation is lacking. This study reviews recent findings (2018–2022) on UAS applications develops vegetation type-specific standard protocol. Analysis of 211 papers reveals the prevalence rotary-wing UASs, especially quadcopters, in agricultural fields. Sensor selection varies by type, with LIDAR RGB sensors forests, RGB, multispectral, hyperspectral grass Flight altitudes speeds depend characteristics sensor types, varying among crop groups. Ground control points (GCPs) needed accurate differ based type topographic complexity. Optimal data collection during solar noon enhances accuracy, considering image quality, energy availability, reduced atmospheric effects. Vegetation indices significantly affect vertically growing crops, while their influence comparatively less grasses, horizontally crops. Plant height metrics across groups, maximum forests central tendency grasses Linear regression machine learning models perform similarly outperforming grasses; both yield comparable results Challenges include limitations, environmental conditions, reflectance mixture, canopy complexity, water, cloud cover, dew, phenology, artifacts, legal restrictions, computing power, battery capacity, optical saturation, GPS errors. Addressing these requires careful selection, timing, processing, compliance regulations, overcoming technical limitations. Insights guidelines provided enhance precision efficiency estimation. Understanding requirements aids informed decisions platform choice, flight parameters, modeling approaches different ecosystems. bridges gap providing protocol, facilitating widespread adoption technology

Language: Английский

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Drone-Assisted Particulate Matter Measurement in Air Monitoring: A Patent Review

Atmosphere, Journal Year: 2024, Volume and Issue: 15(5), P. 515 - 515

Published: April 23, 2024

Air pollution is caused by the presence of polluting elements. Ozone (O3), carbon monoxide (CO), dioxide (CO2), nitrogen (NO2), sulfur (SO2), and particulate matter (PM) are most controlled gasses because they can be released into atmosphere naturally or as a result human activity, which affects air quality causes disease premature death in exposed people. Depending on substance being measured, ambient monitors have different types sensors. In recent years, there has been growing interest designing drones mobile sensors for monitoring pollution. Therefore, objective this paper to provide comprehensive patent review gain insight proprietary technologies currently used monitor outdoor Patent searches were conducted using three search engines: Google Patents, WIPO’s Patentscope, United States Trademark Office (USPTO). The analysis each consists extracting data that supply information regarding type drone, sensor, equipment measuring PM, lack cyclone separator, ability process turbulence generated drone’s propellers. A total 1473 documents retrieved engine. However, only 13 met inclusion criteria, including reporting drone designs monitoring. was found patents fall under class G01N (measurement; testing) according International Patents Classification, where common devices infrared visible light cameras, cleaning devices, GPS tracking devices. tasks performed monitoring, assessment, control. These categories cover aspects management cycle essential effectively address environmental problem.

Language: Английский

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