Unmanned aerial systems for photogrammetry and remote sensing: A review

Colomina, Ismael; Molina, Pere

doi:10.1016/j.isprsjprs.2014.02.013

Cited by 2,323 publications

(1,492 citation statements)

References 80 publications

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“…These platforms may be operated by remote control, first person or GPS-enabled autopilot systems. They can be fitted with a diversity of sensors for collecting observations of the earth surface and atmosphere, including multispectral cameras, meteorology sensors and lidar units (Colomina and Molina, 2014;Hardin and Jensen, 2011;Nex and Remondino, 2014). Due to the low flight elevations (50-1000 m a.g.l.…”

Section: Introductionmentioning

confidence: 99%

“…The use of UAVs in earth science research is undergoing rapid expansion with numerous researchers exploiting the financial and spatiotemporal resolution benefits of UAV technology (Ahmad, 2011;Colomina and Molina, 2014;D'Oleire-Oltmanns et al, 2012;Hardin and Jensen, 2011;Koh and Wich, 2012;Vivoni et al, 2014;Watts et al, 2012). A few projects have utilised UAV platforms in mountainous glaciated regions (Bhardwaj et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Monitoring tropical debris-covered glacier dynamics from high-resolution unmanned aerial vehicle photogrammetry, Cordillera Blanca, Peru

Wigmore

Mark

2017

The Cryosphere

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Abstract. The glaciers of the Cordillera Blanca, Peru, are rapidly retreating and thinning as a result of climate change, altering the timing, quantity and quality of water available to downstream users. Furthermore, increases in the number and size of proglacial lakes associated with these melting glaciers is increasing potential exposure to glacier lake outburst floods (GLOFs). Understanding how these glaciers are changing and their connection to proglacial lake systems is thus of critical importance. Most satellite data are too coarse for studying small mountain glaciers and are often affected by cloud cover, while traditional airborne photogrammetry and lidar are costly. Recent developments have made unmanned aerial vehicles (UAVs) a viable and potentially transformative method for studying glacier change at high spatial resolution, on demand and at relatively low cost.Using a custom designed hexacopter built for high-altitude (4000-6000 m a.s.l.) operation, we completed repeat aerial surveys (2014 and 2015) of the debris-covered Llaca Glacier tongue and proglacial lake system. High-resolution orthomosaics (5 cm) and digital elevation models (DEMs) (10 cm) were produced and their accuracy assessed. Analysis of these datasets reveals highly heterogeneous patterns of glacier change. The most rapid areas of ice loss were associated with exposed ice cliffs and meltwater ponds on the glacier surface. Considerable subsidence and low surface velocities were also measured on the sediments within the pro-glacial lake, indicating the presence of extensive regions of buried ice and continued connection to the glacier tongue. Only limited horizontal retreat of the glacier tongue was observed, indicating that measurements of changes in aerial extent alone are inadequate for monitoring changes in glacier ice quantity.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring tropical debris-covered glacier dynamics from high-resolution unmanned aerial vehicle photogrammetry, Cordillera Blanca, Peru

Wigmore

Mark

2017

The Cryosphere

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“…Linear system dynamics are, (5) Angular system dynamics are, (6) According to the definition of tri-rotor the speed control of three motors and its motion relationship can be written as, Hovering: The state of hover or hovering of tri-rotor is based on the blades of the propeller which increases the blade numbers on the propeller and restricts the speed of forward flight. Now employing the theory of momentum for the dynamics of helicopter which is also related to the tri-rotor UAV theory [32].…”

Section: Dynamics Of Tri-rotor Uav and Its Problem Descriptionmentioning

confidence: 99%

“…These days the usage of UAV is quite common in our society, they are commonly used in surveillance, rescue and searching tasks and etc. [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Controlling the Dynamics and Stabilization of the Altitude and Attitude of An Underactuated Tri-rotor UAV

Ali¹,

Aamir²,

Wang³

et al. 2017

IJCA

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“…UAS-based photogrammetry, or remote sensing, is able to provide high accuracy data quickly using different sensor types, such as digital cameras, thermal cameras, multispectral cameras, and laser scanners. Current applications of UAS in geomatics can be categorized briefly as follows: agricultural and environmental applications, surveillance, aerial monitoring in engineering, cultural heritage, surveying, and cadastral applications [3]. Particularly, in ground monitoring as a subfield of aerial monitoring in engineering, UAS-based photogrammetry has begun to play an important role in landslide monitoring and detection [4,5].…”

Section: Introductionmentioning

confidence: 99%

Landslide Fissure Inference Assessment by ANFIS and Logistic Regression Using UAS-Based Photogrammetry

Akçay

2015

IJGI

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Unmanned Aerial Systems (UAS) are now capable of gathering high-resolution data, therefore, landslides can be explored in detail at larger scales. In this research, 132 aerial photographs were captured, and 85,456 features were detected and matched automatically using UAS photogrammetry. The root mean square (RMS) values of the image coordinates of the Ground Control Points (GPCs) varied from 0.521 to 2.293 pixels, whereas maximum RMS values of automatically matched features was calculated as 2.921 pixels. Using the 3D point cloud, which was acquired by aerial photogrammetry, the raster datasets of the aspect, slope, and maximally stable extremal regions (MSER) detecting visual uniformity, were defined as three variables, in order to reason fissure structures on the landslide surface. In this research, an Adaptive Neuro Fuzzy Inference System (ANFIS) and a Logistic Regression (LR) were implemented using training datasets to infer fissure data appropriately. The accuracy of the predictive models was evaluated by drawing receiver operating characteristic (ROC) curves and by calculating the area under the ROC curve (AUC). The experiments exposed that high-resolution imagery is an indispensable data source to model and validate landslide fissures appropriately.

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Unmanned aerial systems for photogrammetry and remote sensing: A review

Cited by 2,323 publications

References 80 publications

Monitoring tropical debris-covered glacier dynamics from high-resolution unmanned aerial vehicle photogrammetry, Cordillera Blanca, Peru

Monitoring tropical debris-covered glacier dynamics from high-resolution unmanned aerial vehicle photogrammetry, Cordillera Blanca, Peru

Controlling the Dynamics and Stabilization of the Altitude and Attitude of An Underactuated Tri-rotor UAV

Landslide Fissure Inference Assessment by ANFIS and Logistic Regression Using UAS-Based Photogrammetry

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