UAV Implementations in Urban Planning and Related Sectors of Rapidly Developing Nations: A Review and Future Perspectives for Malaysia

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(11), P. 2845 - 2845

Published: May 30, 2023

The rapid growth of urban populations and the need for sustainable planning development has made Unmanned Aerial Vehicles (UAVs) a valuable tool data collection, mapping, monitoring. This article reviews applications UAV technology in development, particularly Malaysia. It explores potential UAVs to transform infrastructure projects enhance systems, underscoring importance advanced Southeast Asia developing nations worldwide. Following PRISMA 2020 statement, this adopts systematic review process identifies 98 relevant studies out 591 records, specifically examining use planning. emergence UAV-as-a-service sector led specialized companies offering operations site inspections, 3D modeling structures terrain, boundary assessment, area estimation, master plan formulation, green space analysis, environmental monitoring, archaeological monument mapping. have proven be versatile tools with across multiple fields, including precision agriculture, forestry, construction, surveying, disaster response, security, education. They offer advantages such as high-resolution imagery, accessibility, operational safety. Varying policies regulations concerning usage countries present challenges commercial research UAVs. In Malaysia, become essential addressing associated urbanization, traffic congestion, sprawl, pollution, inadequate social facilities. However, several obstacles overcome before can effectively deployed, regulatory barriers, limited flight time range, restricted awareness, lack skilled personnel, concerns regarding security privacy. Successful implementation requires coordination among public bodies, industry stakeholders, public. Future Malaysia should prioritize building identification, using results study propel advancements other ASEAN countries.

Language: Английский

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Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests

Remote Sensing of Environment, Journal Year: 2022, Volume and Issue: 271, P. 112912 - 112912

Published: Jan. 29, 2022

Language: Английский

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Use of Individual Tree and Product Level Data to Improve Operational Forestry

Current Forestry Reports, Journal Year: 2022, Volume and Issue: 8(2), P. 148 - 165

Published: April 1, 2022

Abstract Purpose of Review Individual tree detection (ITD) methods and technologies for tracking individual forest products through a smart operational supply chain from stump to mill are now available. The purpose this paper is (1) review the related literature audiences not familiar with remote sensing (2) identify knowledge gaps in forestry operations research that these new data systems becoming more common. Recent Findings Past has led successful development ITD detecting information radio frequency identification (RFID), branding, other product tracing trees logs. Blockchain cryptocurrency allow independent verification transactions work activity recognition based on mobile wearable sensors can connect mechanized motor-manual components chains, bridging connectivity data. However, there shortage demonstrating use location-aware spans multiple machines. Summary Commercial available digitalize operations. Research should shift evaluation applications demonstrate use. Areas improved efficiencies include technology map seedlings during planting; optimizing harvesting, skidding forwarder trails, landings, decking prior information; (3) incorporation high-resolution, mapped value treatment cost into harvest planning; (4) machine navigation, automation, robotics stem locations; (5) digitalized silvicultural treatments, including microclimate-smart best management practices; (6) networking across multiple, sensorized

Language: Английский

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Review of Photogrammetric and Lidar Applications of UAV

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(11), P. 6732 - 6732

Published: May 31, 2023

Using Unmanned Aerial Vehicles (UAVs) combined with various sensors brings the benefits associated fast, automatic, and contactless spatial data collection high resolution accuracy. The most frequent application is possibility of effectively creating models based on photogrammetric lidar data. This review analyzes current possibilities UAVs. It provides an overview state art research selected parameters regarding their history development, classification, regulation, in surveying models. Classification regulation are national sources. importance usability this also carried out by analyzing UAV sensors. study explores discusses results achieved many authors recent years, synthesizing essential facts. By network co-occurring High-Frequency Words, addition, we visualized primary keyword context other keywords literary sources processed.

Language: Английский

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Assessment of Accuracy in Unmanned Aerial Vehicle (UAV) Pose Estimation with the REAL-Time Kinematic (RTK) Method on the Example of DJI Matrice 300 RTK

Sensors, Journal Year: 2023, Volume and Issue: 23(4), P. 2092 - 2092

Published: Feb. 13, 2023

The growing possibilities offered by unmanned aerial vehicles (UAV) in many areas of life, particular automatic data acquisition, spur the search for new methods to improve accuracy and effectiveness acquired information. This study was undertaken on assumption that modern navigation receivers equipped with real-time kinematic positioning software integrated UAVs can considerably photogrammetric measurements. research hypothesis verified during field measurements use a popular Enterprise series drone. problems associated accurate UAV pose estimation were identified. main aim perform qualitative assessment GNSS RTK receiver. A test procedure comprising three experiments designed achieve above goal: an analysis stability absolute when is hovering over point, analyses flight along predefined trajectory continuous without waypoints. tests conducted designated area. results based direct tachometric performed statistical methods. demonstrated state apparent stability, horizontal deviations around 0.02 m occurred at low altitudes increased rise altitude. Mission type significantly influences used verify UAV’s identify factors affect present findings provide valuable input developing method UAVs.

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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A study of annual tree-wise LiDAR intensity patterns of boreal species observed using a hyper-temporal laser scanning time series

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 305, P. 114083 - 114083

Published: Feb. 27, 2024

This study introduces the annual tree-wise intensity patterns of three boreal tree species, silver birch (Betula pendula Roth.), Scots pine (Pinus sylvestris L.), and Norway spruce (P,icea abies H. Karst.), observed from a long-term hyper-temporal point cloud dataset collected with permanent laser scanning (LiDAR) station. An LiDAR pattern refers to trend variations calibrated values over course year, primarily linked species-specific phenological characteristics. Such was discovered (76 observations between April 2020 2021) high resolution (0.01 m 3D spacing at 100 distance) acquired using single wavelength (1550 nm) static system installed on climate monitoring tower Hyytiälä forest research station in central Finland. A set experiments designed explore interactions among intensity, data quality, observation dates. Thus, provide practical suggestions for expectable accuracies species classification diverse types systems acquisition strategies. It revealed that by combining spatial (up 100,000 points/m2) bi-weekly (two scans per week except winter period), average accuracy reaches 96.8% area, where few misclassified cases are attributed inaccurate individual segmentation. suggests patterns, which reflects dynamics, robust species-specific. When reduced 5 points/ m2, studied reached 85% when bi-temporal spring autumn. Our analysis further indicates arranging two-week variability late autumn could yield higher classification. Furthermore, our importance subcanopy information classification, specifically distinguishing different coniferous species. limited upper canopy (as simulated airborne scenarios), achieving 80% required either density (e.g. 8000 combined collection or low (5 m2) dense time series (e.g., 76 points within year), showcased possibility compensate temporal resolution, vice versa, capturing characteristics trees.

Language: Английский

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The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, Lithuania

Frontiers in Remote Sensing, Journal Year: 2025, Volume and Issue: 6

Published: Feb. 6, 2025

Nowadays, the development of Unmanned Aerial Vehicle in conjunction with Photogrammetry and LiDAR technologies, has revolutionized collection geospatial data. These technologies enable acquisition very high-resolution images dense point clouds. They also allow generation aerial mapping products simulations data for territories that are difficult to access using traditional surveying methods. The paper deals use kinematic remote sensing technique study surface extreme topography as is a near-vertical cliff named Olandian hat situated Seaside regional park on Baltic sea coast Lithuania. This area been significantly eroded by due climatic changes last few decades, which have caused substantial damage coastline. Quantitative measurements show coastal erosion led retreat up [X] meters over [Y] years. In order preserve this unique cultural object, needs keep an observation regular basis (as monitoring) capture real situation. Applying appropriate way reliable accurate spatial models topography, four sets were processed: gained camera, oriented horizontally; camera tilted at about 50°; combining both image collected from camera; Point clouds orthophoto maps generated. evaluation showed best accuracy was achieved derived combined sets, based metric RMSE, mean RMSE 0.048 m X, Y, Z directions. model generated more direction. Correct representation DEM not possible only horizontally oriented.

Language: Английский

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UAV-enabled evaluation of forestry plantations: A comprehensive assessment of laser scanning and photogrammetric approaches

Published: Jan. 1, 2025

Language: Английский

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Prediction of the severity of Dothistroma needle blight in radiata pine using plant based traits and narrow band indices derived from UAV hyperspectral imagery

Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 330, P. 109294 - 109294

Published: Jan. 11, 2023

Language: Английский

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