AggieAir &amp;#x2014; a low-cost autonomous multispectral remote sensing platform: New developments and applications

Jensen, Austin M.; Chen, YangQuan; McKee, Mac; Hardy, Thomas B.; Barfuss, Steven L.

doi:10.1109/igarss.2009.5417547

Cited by 27 publications

(19 citation statements)

References 9 publications

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“…In [28] a Eucalyptus globulus plantation in Tasmania, Australia, is used as the test field for canopy structure estimation. The flexibility and cost-effectiveness of UAVs has also been shown by Dundorf et al [11] for riparian forests in the Drôme River in southern France, and by Jensen et al [43] in the Oneida Narrows near Preston, Idaho. On the other hand, numerous studies have been conducted in agricultural areas and include a variety of test fields ranging from fruit trees to bushes, roots, legumes and cereals.…”

Section: Vegetation Typesmentioning

confidence: 68%

“…Climate change monitoring Mapping moss beds in Antarctica [42] Monitoring of biodiversity in the Fonttainebleau forest [41] Rangeland health monitoring Determining canopy cover and gap sizes [35] Monitoring changes in the canopy structure [28] Dead wood identification [11] Rangeland/forest inventory Differentiating rangeland vegetation [36] Mapping and characterization of riparian forests [11] Topographic surveying and mapping Mapping the substrate and vegetation in rivers [43] Assessing ephemeral gully erosion in agricultural fields [61] Proactive applications…”

Section: Passive Applicationsmentioning

confidence: 99%

“…Laliberte and Rango [36] highlight the ability of UAV imagery to quantify spatial patterns and patches of vegetation and soil not detectable with piloted aircraft or satellite imagery. The high resolution, low-cost, and flexibility of UAVs are also valuable features to get updated data in continuously changing environments, such as rivers [43], where the vegetation, the path and the flow of the river are always changing, and ephemeral gullies in agricultural fields [61], where their intermittency and small width and depth make them difficult to be detected by general topographic surveying and mapping. Also noteworthy is the versatility of UAV-based systems to be used in different contexts.…”

Section: Passive Applicationsmentioning

confidence: 99%

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UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas

2014

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The miniaturization of electronics, computers and sensors has created new opportunities for remote sensing applications. Despite the current restrictions on regulation, the use of unmanned aerial vehicles equipped with small thermal, laser or spectral sensors has emerged as a promising alternative for assisting modeling, mapping and monitoring applications in rangelands, forests and agricultural environments. This review provides an overview of recent research that has reported UAV flight experiments on the remote sensing of vegetated areas. To provide a differential trend to other reviews, this paper is not limited to crops and precision agriculture applications, but also includes forest and rangeland applications. This work follows a top-down categorization strategy and attempts to fill the gap between application requirements and the characteristics of selected tools, payloads and platforms. Furthermore, correlations between common requirements and the most frequently used solutions are highlighted.

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Section: Vegetation Typesmentioning

confidence: 68%

Section: Passive Applicationsmentioning

confidence: 99%

Section: Passive Applicationsmentioning

confidence: 99%

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UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas

2014

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“…AggieAir is currently involved in a large scale agricultural project which will use visual and NIR images from AggieAir to measure the soil moisture of the area to help save water (Jensen, Chen, Hardy & McKee, 2009). The project includes 30 square miles of different types of crops where 87 wireless soil moisture ground probes are placed.…”

Section: Farmland Coveragementioning

confidence: 99%

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

Huo

Jensen²,

Han

et al. 2009

Advances in Geoscience and Remote Sensing

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“…14 Moreover, some agricultural applications of UAVs have been achieved by Chen et al of the University of California, Merced. [15][16][17] In this article, we proposed a set of integrated ground target tracking flight control system based on the Qball-X4 quad-rotor UAV hardware platform and the QuaRC software platform. There are several stages in achieving the proposed tracking and positioning algorithm.…”

Section: Introductionmentioning

confidence: 99%

Target tracking control and semi-physical simulation of Qball-X4 quad-rotor unmanned aerial vehicle

Liu

Pan

et al. 2017

International Journal of Advanced Robotic Systems

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In this article, a set of integrated ground target tracking flight system has been proposed based on the Qball-X4 quad-rotor unmanned aerial vehicle hardware platform and the QuaRC software platform. Both of the hardware and software platforms are developed by Quanser Company, Canada. The proposed tracking and positioning algorithm could be divided into several stages. First, a tracker is developed based on an optical flow method to track the target; and then, in order to improve the reliability of tracking algorithm and also help in retrieving the lost target, a cascade target detector is developed; meanwhile, a model updated scheme aiming at some possible errors in tracking and detecting process is presented based on Positive-Negative (P-N) learning system; at last, a monocular visual positioning system is designed based on the corresponding navigation message. In addition, the effectiveness of the proposed flight control system is verified by both simulation and hardware-in-loop system results in several tracking flight tests.

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AggieAir — a low-cost autonomous multispectral remote sensing platform: New developments and applications

Cited by 27 publications

References 9 publications

UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas

UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas

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

Target tracking control and semi-physical simulation of Qball-X4 quad-rotor unmanned aerial vehicle

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