Unmanned aerial vehicles can accurately, reliably, and economically compete with terrestrial mapping methods

2020 ◽  
Vol 8 (1) ◽  
pp. 57-74 ◽  
Author(s):  
Orrin Thomas ◽  
Christian Stallings ◽  
Benjamin Wilkinson
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Structure From Motion ◽  
Spatial Data ◽  
Mean Squared Error ◽  
Laser Scanner ◽  
Point Clouds ◽  
Unmanned Aerial Systems ◽  
Squared Error ◽  
Similar Accuracy ◽  
Aerial Systems

Structure from motion (SfM) and imagery-derived point clouds (IDPC) are excellent tools for collecting spatial data. However, reported accuracies from unmanned aerial systems (UAS) commonly fall short of their theoretical potential. The research presented here, using a DJI Inspire 2 with post-processed kinematic direct geopositioning, demonstrates that UAS mapping can be consistently accurate enough for use in place of, or in concert with, terrestrial methods (2 cm vertical root mean squared error). We further demonstrate that features that are missing or distorted in IDPC (e.g., roof edges, break lines, and above-ground utilities) can be collected from UAS-imagery stereo models with similar accuracy. Accuracy in the experiments was verified by comparison to data from a total station and terrestrial laser scanner (TLS). Use of the recommended hardware and stereo compilation reduced mapping costs by 40%–75% on three test projects.

Public Safety Implementation of Unmanned Aerial Systems for Photogrammetric Mapping of Crash Scenes

2019 ◽  
Vol 2673 (7) ◽  
pp. 567-574 ◽  
Author(s):  
John L. Bullock ◽  
Robert Hainje ◽  
Ayman Habib ◽  
Deborah Horton ◽  
Darcy M. Bullock
Keyword(s):  
Public Safety ◽  
Mean Squared Error ◽  
New Technology ◽  
Mass Casualty ◽  
Unmanned Aerial Systems ◽  
Paper Briefly ◽  
The Past ◽  
Squared Error ◽  
Aerial Systems ◽  
Terrestrial Photogrammetry

Terrestrial photogrammetry using acquired images by a hand-held camera has been used for several years to map crash scene geometry. More recently, photogrammetric reconstruction from acquired images by an unmanned aerial system (UAS) has been proposed for crash scene mapping. Over the past year, the Tippecanoe County Sherriff’s Office has participated in three workshops with Purdue University, applied these skills in two training mass casualty exercises, and independently mapped five crash scenes in June and July 2018. This paper briefly reviews the training sessions, mass casualty exercises, and five crash scenes mapped by Tippecanoe County Sherriff’s deputies. The paper presents a comparison of both traditional ground-based and UAS-based photogrammetric mapping for two crashes in July 2018. The UAS procedures described in this paper are quite similar to current ground-based photogrammetric mapping. The UAS-based photogrammetric mapping derived measurements from eight identified crash scene markers and key features were found to be within 0.29 ft of field tape measurements, or with 0.4% or less relative error and a root mean squared error of 0.12 ft. We believe this paper will become important documentation in the literature that will provide public safety agencies with performance data to support their deliberation in investing in this new technology.

LIGHTER-THAN-AIR (LTA) UNMANNED AERIAL SYSTEM (UAS) CARRIER CONCEPT FOR SURVAILLANCE AND DISASTER MANAGEMENT

2019 ◽  
Vol 3 ◽  
pp. 1255
Author(s):  
Ahmad Salahuddin Mohd Harithuddin ◽  
Mohd Fazri Sedan ◽  
Syaril Azrad Md Ali ◽  
Shattri Mansor ◽  
Hamid Reza Jifroudi ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Disaster Management ◽  
Unmanned Aerial Systems ◽  
Unmanned Aerial System ◽  
Border Control ◽  
Aerial Vehicles ◽  
Operational Safety ◽  
In Situ Methods ◽  
Aerial Systems

Unmanned aerial systems (UAS) has many advantages in the fields of SURVAILLANCE and disaster management compared to space-borne observation, manned missions and in situ methods. The reasons include cost effectiveness, operational safety, and mission efficiency. This has in turn underlined the importance of UAS technology and highlighted a growing need in a more robust and efficient unmanned aerial vehicles to serve specific needs in SURVAILLANCE and disaster management. This paper first gives an overview on the framework for SURVAILLANCE particularly in applications of border control and disaster management and lists several phases of SURVAILLANCE and service descriptions. Based on this overview and SURVAILLANCE phases descriptions, we show the areas and services in which UAS can have significant advantage over traditional methods.

scholarly journals DÜNYA BASININDA TÜRKİ YE’Nİ N S/İ HA GÜCÜ VE KÜRESEL Sİ YASETE YANSIMALARI

2021 ◽  
pp. 202-229
Author(s):  
Elif Nur TAŞ ◽  
Zeynep PARALI ◽  
Hatice Nur ÇETİN
Keyword(s):  
Unmanned Aerial Vehicles ◽  
National Development ◽  
Global Politics ◽  
Technological Innovations ◽  
Unmanned Aerial Systems ◽  
Main Question ◽  
Economic Interests ◽  
General Terms ◽  
Aerial Vehicles ◽  
Aerial Systems

Technological innovations in the 􀏐ield of informatics, rapid developments in subjects such as arti􀏐icial intelligence and robotic engineering have put Unmanned Aerial Vehicles (UAV) and Armed Unmanned Aerial Vehicles (UCAV) into the battle􀏐ield of the 21st century. At this point, states whose common concerns are security have taken the path of both obtaining intelligence and developing unmanned aerial systems, whose use is rapidly increasing in the 􀏐ield of war-defense. It is known that many countries are currently working on developing and producing UAVs, beside United States of America (USA) and Israel which both have advanced unmanned aerial systems. Because states that are developing and manufacturing their own unmanned aerial systems are aware that this situation will provide a strategic advantage in terms of their military, political and economic interests. In this context, Turkey didn’t stay indifferent to the developments of unmanned aerial systems emerging in each passing day, it has made considerable momentum towards the last 􀏐ifteen years to develop national and indigenous UAV systems. Especially since mid-2010, these systems have been used ef􀏐iciently in both intra border operations and crossborder operations The main question of this article is how Turkey’s UAV/UCAV power is re􀏐lected in global politics and in this direction, world press will be scanned. In this context, this study will primarily explained by Turkey’s domestic and national development of unmanned aerial systems adventure in general terms; then Turkey’s use of these vehicles in where and for what purpose will be evaluated. Afterward it will be evaluated that how Turkey’s power of UAV/UCAV is perceived by other states in economic and military-political aspects by examining the relevant state press and publishing organizations Keywords: Turkey, Unmanned Aerial Vehicles, Unmanned Combat Aerial Vehicles, Press- Publishing Organizations.

scholarly journals UAS for Wetland Mapping and Hydrological Modeling

2019 ◽  
Vol 11 (17) ◽  
pp. 1997 ◽  
Author(s):  
Justyna Jeziorska
Keyword(s):  
Spatial Data ◽  
Hydrological Modeling ◽  
High Spatial Resolution ◽  
Spatial Scales ◽  
Regulatory Environment ◽  
Unmanned Aerial Systems ◽  
Wetland Mapping ◽  
Monitoring Strategies ◽  
Sensing Technology ◽  
Aerial Systems

The miniaturization and affordable production of integrated microelectronics have improved in recent years, making unmanned aerial systems (UAS) accessible to consumers and igniting their interest. Researchers have proposed UAS-based solutions for almost any conceivable problem, but the greatest impact will likely be in applications that exploit the unique advantages of the technology: work in dangerous or difficult-to-access areas, high spatial resolution and/or frequent measurements of environmental phenomena, and deployment of novel sensing technology over small to moderate spatial scales. Examples of such applications may be the identification of wetland areas and use of high-resolution spatial data for hydrological modeling. However, because of the large—and growing—assortment of aircraft and sensors available on the market, an evolving regulatory environment, and limited practical guidance or examples of wetland mapping with UAS, it has been difficult to confidently devise or recommend UAS-based monitoring strategies for these applications. This paper provides a comprehensive review of UAS hardware, software, regulations, scientific applications, and data collection/post-processing procedures that are relevant for wetland monitoring and hydrological modeling.

scholarly journals Unmanned Aerial System Imagery, Land Data and User Needs: A Socio-Technical Assessment in Rwanda

2019 ◽  
Vol 11 (9) ◽  
pp. 1035 ◽  
Author(s):  
Claudia Stöcker ◽  
Serene Ho ◽  
Placide Nkerabigwi ◽  
Cornelia Schmidt ◽  
Mila Koeva ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Land Tenure ◽  
Spatial Data ◽  
Information Needs ◽  
Institutional Environment ◽  
Social Study ◽  
Unmanned Aerial Systems ◽  
Quality Of Data ◽  
Priority List ◽  
Aerial Systems

Unmanned Aerial Systems (UAS) are emerging as a tool for alternative land tenure data acquisition. Even though UAS appear to represent a promising technology, it remains unclear to what extent they match the needs of communities and governments in the land sector. This paper responds to this question by undertaking a socio-technical study in Rwanda, aiming to determine the match between stakeholders’ needs and the characteristics of the UAS data acquisition workflow and its final products as valuable spatial data for land administration and spatial planning. A needs assessment enabled the expression of a range of land information needs across multiple levels and stakeholder sectors. Next to the social study, three different UAS were flown to test not only the quality of data but the possibilities of the use of this technology within the current institutional environment. A priority list of needs for cadastral and non-cadastral information as well as insights into operational challenges and data quality measures of UAS-based data products are presented. It can be concluded that UAS can have a significant contribution to match most of the prioritized needs in Rwanda. However, the results also reveal that structural and capacity conditions currently undermine this potential.

scholarly journals Measuring Height Characteristics of Sagebrush (Artemisia sp.) Using Imagery Derived from Small Unmanned Aerial Systems (sUAS)

Drones ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 6 ◽  
Author(s):  
Ryan G. Howell ◽  
Ryan R. Jensen ◽  
Steven L. Petersen ◽  
Randy T. Larsen
Keyword(s):  
Data Storage ◽  
Accuracy Assessment ◽  
Point Clouds ◽  
Unmanned Aerial Systems ◽  
Surface Model ◽  
Sage Grouse ◽  
Double Pass ◽  
Single Pass ◽  
3D Point Clouds ◽  
Aerial Systems

In situ measurements of sagebrush have traditionally been expensive and time consuming. Currently, improvements in small Unmanned Aerial Systems (sUAS) technology can be used to quantify sagebrush morphology and community structure with high resolution imagery on western rangelands, especially in sensitive habitat of the Greater sage-grouse (Centrocercus urophasianus). The emergence of photogrammetry algorithms to generate 3D point clouds from true color imagery can potentially increase the efficiency and accuracy of measuring shrub height in sage-grouse habitat. Our objective was to determine optimal parameters for measuring sagebrush height including flight altitude, single- vs. double- pass, and continuous vs. pause features. We acquired imagery using a DJI Mavic Pro 2 multi-rotor Unmanned Aerial Vehicle (UAV) equipped with an RGB camera, flown at 30.5, 45, 75, and 120 m and implementing single-pass and double-pass methods, using continuous flight and paused flight for each photo method. We generated a Digital Surface Model (DSM) from which we derived plant height, and then performed an accuracy assessment using on the ground measurements taken at the time of flight. We found high correlation between field measured heights and estimated heights, with a mean difference of approximately 10 cm (SE = 0.4 cm) and little variability in accuracy between flights with different heights and other parameters after statistical correction using linear regression. We conclude that higher altitude flights using a single-pass method are optimal to measure sagebrush height due to lower requirements in data storage and processing time.

scholarly journals PARADIGM OF RESISTANCE TO INTELLIGENCE AND IMPACT UNLIMITED AIRCRAFT COMPLEXES

2020 ◽  
pp. 73-90
Author(s):  
D. A. Ishchenco ◽  
V. A. Kyryliuk ◽  
S. D. Ishchenco ◽  
L. M. Maryshchuk
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Subject Area ◽  
Unmanned Vehicles ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Unmanned Aerial Systems ◽  
Military Equipment ◽  
Aircraft Systems ◽  
Aerial Vehicles ◽  
Aerial Systems

The work shows the relevance of the problem of countering reconnaissance and strike unmanned aircraft systems and the need to improve the scientific and methodological support of its solution according to a certain corresponding paradigm. In the work as a paradigm of countering unmanned aerial systems, it is proposed to consider a conceptual theoretical and methodological model of combating unmanned aerial vehicles, which currently provides opportunities for identifying the problems of developing forces and means of countering unmanned aerial systems. The developed paradigm of counteraction can be an element of scientific and methodological support, contributes to the solution of the problem of the complex use of forces and means of counteraction to reconnaissance and strike unmanned aircraft systems in order to acquire the capabilities of troops (forces) to perform tasks as intended in the conditions of the use of unmanned vehicles. The recognition of such a paradigm by specialists determines that their activities are based on the accepted model of countering unmanned aircraft systems, using the same rules and standards established in the industry. The generality and consistency of approaches that they provide are prerequisites for ensuring the required scientific level of a certain direction of research. The proposed approach outlines the tasks, content, components, principles of assessment of means of counteraction to unmanned aerial vehicles by contributing to the effectiveness of the system of protection of the object from reconnaissance and strike (shock) systems of the enemy, which systematizes knowledge in the subject area. problems of modern armed struggle. The prospect of further research is to clarify the mathematical calculations in accordance with the characteristics of troops (forces), military facility, protection system against reconnaissance and strike (strike) unmanned aerial vehicles of the enemy and samples of military equipment that are part of it.

scholarly journals EVALUATING THE POSSIBILITY OF TREE SPECIES CLASSIFICATION WITH DUAL-WAVELENGTH ALS DATA

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1097-1103
Author(s):  
M. Pilarska ◽  
W. Ostrowski
Keyword(s):  
Spatial Data ◽  
Tree Species ◽  
Laser Scanning ◽  
Laser Scanner ◽  
Point Clouds ◽  
Airborne Laser Scanning ◽  
Tree Canopy ◽  
Species Classification ◽  
Airborne Laser ◽  
Simultaneous Acquisition

<p><strong>Abstract.</strong> Airborne laser scanning (ALS) plays an important role in spatial data acquisition. One of the advantages of this technique is laser beam penetration through vegetation, which makes it possible to not only obtain data on the tree canopy but also within and under the canopy. In recent years, multi-wavelength airborne laser scanning has been developed. This technique consists of simultaneous acquisition of point clouds in more than one band. The aim of this experiment was to examine and assess the possibilities of tree segmentation and species classification in an urban area. In this experiment, point clouds registered in two wavelengths (532 and 1064&amp;thinsp;nm) were used for tree segmentation and species classification. The data were acquired with a Riegl VQ-1560i-DW laser scanner over Elblag, Poland, during August 2018. Tree species collected by a botanist team within terrain measurements were used as a reference in the classification process. Within the experiment segmentation and classification process were performed. Regarding the segmentation, TerraScan software and Li et al.’s algorithm, implemented in LidR package were used. Results from both methods are clearly over-segmented in comparison to the manual segments. In Terrasolid segmentation, single reference segments are over-segmented in 28% of cases, whereas, for LidR, over-segmentation occurred in 73% of the segments. According the classification results, Thuja, Salix and Betula were the species, for which the highest classification accuracy was achieved.</p>

scholarly journals Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics

2020 ◽  
Vol 12 (22) ◽  
pp. 3831
Author(s):  
Marvin Ludwig ◽  
Christian M. Runge ◽  
Nicolas Friess ◽  
Tiziana L. Koch ◽  
Sebastian Richter ◽  
...  
Keyword(s):  
Optical Sensors ◽  
Spatial Data ◽  
Forest Canopy ◽  
Cost Effective ◽  
Temporal Analysis ◽  
Unmanned Aerial Systems ◽  
Wide Range ◽  
Very High Spatial Resolution ◽  
Multi Temporal ◽  
Aerial Systems

Unmanned aerial systems (UAS) are cost-effective, flexible and offer a wide range of applications. If equipped with optical sensors, orthophotos with very high spatial resolution can be retrieved using photogrammetric processing. The use of these images in multi-temporal analysis and the combination with spatial data imposes high demands on their spatial accuracy. This georeferencing accuracy of UAS orthomosaics is generally expressed as the checkpoint error. However, the checkpoint error alone gives no information about the reproducibility of the photogrammetrical compilation of orthomosaics. This study optimizes the geolocation of UAS orthomosaics time series and evaluates their reproducibility. A correlation analysis of repeatedly computed orthomosaics with identical parameters revealed a reproducibility of 99% in a grassland and 75% in a forest area. Between time steps, the corresponding positional errors of digitized objects lie between 0.07 m in the grassland and 0.3 m in the forest canopy. The novel methods were integrated into a processing workflow to enhance the traceability and increase the quality of UAS remote sensing.

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