scholarly journals AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems

10.5772/8333 ◽  
2009 ◽  
Author(s):  
Haiyang Chao ◽  
Austin M. ◽  
Yiding Han ◽  
YangQuan Chen ◽  
Mac McKee
Keyword(s):  
Remote Sensing ◽  
Low Cost ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Aircraft Systems ◽  
Multispectral Remote Sensing

scholarly journals Performance of Hyperspectral Imaging with Drone Swarms

2018 ◽  
Vol 2672 (45) ◽  
pp. 36-44
Author(s):  
Raj Bridgelall ◽  
James B. Rafert ◽  
Denver D. Tolliver
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Imaging ◽  
Spatial Resolution ◽  
Low Cost ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Aircraft Systems ◽  
Sensing Platforms ◽  
Spatial Coverage ◽  
Ground Coverage

The ongoing proliferation and diversification of remote sensing platforms offer greater flexibility to select from a range of hyperspectral imagers as payloads. The emergence of low-cost unmanned aircraft systems (drones) and their launch flexibility present an opportunity to maximize spectral resolution while scaling both daily spatial coverage and spatial resolution simultaneously by operating synchronized swarms. This article presents a model to compare the performance of hyperspectral-imaging platforms in their spatial coverage and spatial resolution envelope. The authors develop a data acquisition framework and use the model to compare the achievable performance among existing airborne and spaceborne hyperspectral imaging vehicles and drone swarms. The results show that, subject to cost and operational limitations, a platform implemented with drone swarms has the potential to provide greater spatial resolution for the same daily ground coverage compared with existing airborne platforms.

Insect detection and nitrogen management for irrigated potatoes using remote sensing from small unmanned aircraft systems

2016 ◽  
Author(s):  
E. Raymond Hunt ◽  
Silvia I. Rondon ◽  
Philip B. Hamm ◽  
Robert W. Turner ◽  
Alan E. Bruce ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Nitrogen Management ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Aircraft Systems

scholarly journals Eyes in the Sky: Remote Sensing Technology Development Using Small Unmanned Aircraft Systems

2013 ◽  
Vol 111 (5) ◽  
pp. 341-347 ◽  
Author(s):  
Michael G. Wing ◽  
Jonathan Burnett ◽  
John Sessions ◽  
Josh Brungardt ◽  
Vic Cordell ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Technology Development ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Remote Sensing Technology ◽  
Aircraft Systems ◽  
Sensing Technology

scholarly journals A low cost way for assessing bird risk hazards in power lines: Fixed-wing small unmanned aircraft systems

2014 ◽  
Vol 02 (01) ◽  
pp. 5-15 ◽  
Author(s):  
Margarita Mulero-Pázmány ◽  
Juan José Negro ◽  
Miguel Ferrer
Keyword(s):  
Low Cost ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Power Lines ◽  
Wildlife Monitoring ◽  
Aircraft Systems ◽  
Practical Tool ◽  
Conservation Projects ◽  
Technical Solutions

Accidents on power lines are one of the most important causes of man-induced mortality for raptors and soaring birds. The factors that condition the hazard have been extensively studied, and currently there are a variety of technical solutions available to mitigate the risk. Most of the resources in conservation projects to reduce avian mortality now are invested in fieldwork to monitor the lines, which diverts the resources available to install actual corrective measures to mitigate bird hazard. Little progress has been achieved in the methodology to characterize line risk, which is an expensive, tedious, and time-consuming task. In this work we describe the use of low cost small unmanned aircraft systems (sUAS) equipped with on-board cameras for power line surveillance. As a case study, we characterized four power lines, geo-referenced every pylon in selected portions, and assessed their hazard for birds. We compare the effectiveness of two variants of the sUAS method for data acquisition and two methods of plane control. This work provides evidence of the usefulness of sUAS as a fast, inexpensive, and practical tool in conservation biology, adding to their already known applications in wildlife monitoring, the environmental impact assessment of infrastructures.

scholarly journals Experimental Determination of Low-Cost Servomotor Reliability for Small Unmanned Aircraft Applications

2014 ◽  
Vol 629 ◽  
pp. 202-207 ◽  
Author(s):  
Jarrow Sarson-Lawrence ◽  
Roberto Sabatini ◽  
Reece Clothier ◽  
Alessandro Gardi
Keyword(s):  
Quantitative Analysis ◽  
Test Bench ◽  
Low Cost ◽  
Business Case ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Time To Failure ◽  
Aircraft Systems ◽  
Commercial Off The Shelf

One of the key challenges of designing low-cost Unmanned Aircraft Systems (UAS) is to ensure acceptable and certifiable reliability factors for the adopted Commercial-off-the-Shelf (COTS) components since their reliability is often not quantified. In this paper, the experimental results obtained for quantifying the reliability of mini Unmanned Aircraft (UA) servomotors (by recording their time-to-failure on a defined set of test runs) are presented. The Weibull prediction model is adopted for quantitative analysis and the associated key mathematical models. The methodology adopted for performing the reliability analysis including the test bench setup used for the experiments is described. The results indicate a level of reliability expected for low-cost servos. Such servos could be used for low-risk UAS operations (e.g. small UA operating over sparsely populated regions) and where the economics of the business case permitted higher loss rates.

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