Eyes in the Sky: Drones Applications in the Built Environment under Climate Change Challenges

Drones, Journal Year: 2023, Volume and Issue: 7(10), P. 637 - 637

Published: Oct. 16, 2023

This paper reviews the diverse applications of drone technologies in built environment and their role climate change research. Drones, or unmanned aerial vehicles (UAVs), have emerged as valuable tools for environmental scientists, offering new possibilities data collection, monitoring, analysis urban environment. The begins by providing an overview different types drones used environment, including quadcopters, fixed-wing drones, hybrid models. It explores capabilities features, such high-resolution cameras, LiDAR sensors, thermal imaging, which enable detailed acquisition studying impacts areas. then examines specific contribution to These include mapping heat islands, assessing energy efficiency buildings, monitoring air quality, identifying sources greenhouse gas emissions. UAVs researchers collect spatially temporally rich data, allowing a trends patterns. Furthermore, discusses integrating with artificial intelligence (AI) derive insights develop predictive models mitigation adaptation environments. Finally, addresses technologies’ challenges future directions encompass regulatory frameworks, privacy concerns, management, need interdisciplinary collaboration. By harnessing potential scientists can enhance understanding areas contribute developing sustainable strategies resilient cities.

Language: Английский

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Vegetation structure derived from airborne laser scanning to assess species distribution and habitat suitability: The way forward

Diversity and Distributions, Journal Year: 2022, Volume and Issue: 29(1), P. 39 - 50

Published: Oct. 30, 2022

Abstract Ecosystem structure, especially vertical vegetation is one of the six essential biodiversity variable classes and an important aspect habitat heterogeneity, affecting species distributions diversity by providing shelter, foraging, nesting sites. Point clouds from airborne laser scanning (ALS) can be used to derive such detailed information on structure. However, public agencies usually only provide digital elevation models, which do not Calculating structure variables ALS point requires extensive data processing remote sensing skills that most ecologists have. extremely valuable for many analyses use distribution. We here propose 10 should easily accessible researchers stakeholders through national portals. In addition, we argue a consistent selection their systematic testing, would allow continuous improvement list keep it up‐to‐date with latest evidence. This initiative particularly needed advance ecological research open datasets but also guide potential users in face increasing availability global products.

Language: Английский

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UAV DTM acquisition in a forested area – comparison of low-cost photogrammetry (DJI Zenmuse P1) and LiDAR solutions (DJI Zenmuse L1)

European Journal of Remote Sensing, Journal Year: 2023, Volume and Issue: 56(1)

Published: March 1, 2023

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Language: Английский

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Permafrost thawing caused by the China-Russia Crude oil pipeline based on multi-type data and its impacts on geomorphological reshaping and water erosion

CATENA, Journal Year: 2024, Volume and Issue: 242, P. 108134 - 108134

Published: June 4, 2024

Language: Английский

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Accurate Plant Height Estimation in Pulse Crops through Integration of LiDAR, Multispectral Information, and Machine Learning

Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101517 - 101517

Published: March 1, 2025

Language: Английский

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Analysis of UAS-LiDAR Ground Points Classification in Agricultural Fields Using Traditional Algorithms and PointCNN

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(2), P. 483 - 483

Published: Jan. 13, 2023

Classifying bare earth (ground) points from Light Detection and Ranging (LiDAR) point clouds is well-established research in the forestry, topography, urban domains using acquired by Airborne LiDAR System (ALS) at average densities (≈2 per meter-square (pts/m2)). The paradigm of cloud collection has shifted with advent unmanned aerial systems (UAS) onboard affordable laser scanners commercial utility (e.g., DJI Zenmuse L1 sensor) unprecedented repeatability UAS-LiDAR surveys. Therefore, there an immediate need to investigate existing methods, develop new ground classification UAS-LiDAR. In this paper, for first time, traditional algorithms modern machine learning methods were investigated filter high-density data (≈900 pts/m2) over five agricultural fields North Dakota, USA. To end, we tested frequently used algorithms: Cloth Simulation Function (CSF), Progressive Morphological Filter (PMF), Multiscale Curvature Classification (MCC), ArcGIS along PointCNN deep model trained. We two aspects PointCNN: (a) accuracy optimized (i.e., fine adjustment user-defined parameters) training site, (b) transferability potential four yet diverse test fields. evaluation metrics omission error, commission total kappa coefficients showed that outperforms both aspects: overall accuracy,

Language: Английский

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GEODATA IN SCIENCE – A REVIEW OF SELECTED SCIENTIFIC FIELDS

Acta Scientiarum Polonorum Formatio Circumiectus, Journal Year: 2023, Volume and Issue: 22(2), P. 17 - 40

Published: July 7, 2023

Aim of the study: Today, completely new forms geo-information systems are becoming increasingly popular. New technological possibilities allow these to be adapted requirements and needs societies. This paper is an extensive literature review use geodata in various scientific fields, STEM (science, technology, engineering, mathematics) disciplines. However, as there no universal agreement which disciplines included STEM, authors also related fields such geography or transport. Material methods: Already a preliminary analysis Web Science Core Collection database has shown that used very widely, every discipline analysed (with varying degrees sophistication). The main objective provide comprehensive usage five areas: bathymetric measurements, satellite geodata, aerial retrieved levelling networks, GIS data. Results conclusions: results showed increasing availability data can contribute better understanding management our planet. Geodata tool overly broad general, it might science.

Language: Английский

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INTEGRATION OF UAV-LIDAR AND UAV-PHOTOGRAMMETRY FOR INFRASTRUCTURE MONITORING AND BRIDGE ASSESSMENT

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences, Journal Year: 2022, Volume and Issue: XLIII-B2-2022, P. 995 - 1002

Published: May 30, 2022

Abstract. The health assessment of strategic infrastructures and bridges represents a critical variable for planning appropriate maintenance operations. high costs complexity traditional periodical monitoring with elevating platforms have driven the search more efficient flexible methods. Indeed, recent years seen growing diffusion adoption non-invasive approaches consisting in use Unmanned Aerial Vehicles (UAVs) applications that range from visual inspection optical sensors to LiDAR technologies rapid mapping territory. This study defines two different methodologies bridge inspection. A first approach involving integration topographic GNSS techniques TLS photogrammetry cameras mounted on UAV was compared UAV-LiDAR method based DJI Matrice 300 equipped Zenmuse L1 sensor manual flight an automatic one. While workflow resulted centimetric accurate but time-consuming model, resulting point cloud’s georeferencing accuracy be less case under signal obstruction. However, photogrammetric model reconstruction phase made Ground Control Points photos taken by L1-embedded camera improved overall workflow, could employed low-cost when medium level (5–10 cm) is accepted. In conclusion, solution integrating interactively final 3D products Bridge Management System environment presented.

Language: Английский

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Combined ground-based and UAS SfM-MVS approach for determination of geometric parameters of the large-scale industrial facility – Case study

Measurement, Journal Year: 2023, Volume and Issue: 216, P. 112994 - 112994

Published: May 6, 2023

Language: Английский

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Surface Monitoring of an MSW Landfill Based on Linear and Angular Measurements, TLS, and LIDAR UAV

Sensors, Journal Year: 2023, Volume and Issue: 23(4), P. 1847 - 1847

Published: Feb. 7, 2023

Surface monitoring of landfills is crucial not only during their operation but also for later land restoration and development. Measurements concern environmental factors, such as leachate, migration pollutants to water, biogas, atmospheric emissions, geotechnical stability subsidence. Landfill subsidence can be measured using modern surveying techniques. Modern measurement methods landfill body displacement control after adaptation recreational areas include terrestrial laser scanning (TLS), low-altitude photogrammetric measurements from an unmanned aerial vehicle (UAV). The acquired data in the form 3D point clouds should referenced local network enable a comprehensive analysis various techniques, including sensors benchmarks, piezometers, inclinometers. This study discusses need surface municipal solid waste (MSW) landfills. A properly 3-D mapped mass basis ensuring safety restored landfill. Based on archival current Radiowo (Poland), this compares advantages limitations following techniques: linear angular measurements, satellite TLS, UAV photogrammetry, considering specific conditions location vegetation Solutions long-term were proposed, cost time resolution necessary creating differential model geometry changes.

Language: Английский

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