Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds

Lucieer, Arko; Turner, Darren; King, Diana H.; Robinson, Sharon A.

doi:10.1016/j.jag.2013.05.011

Cited by 230 publications

(219 citation statements)

References 46 publications

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“…Using UAVs is now widespread across a range of disciplines (Anderson and Gaston 2013;Liu et al 2014;Smith et al 2016). The most popular environmental applications are: landslide monitoring (Lucieer et al 2014a), measuring changes in coastal morphology (Casella et al 2014;Gonçalves and Henriques 2015;Papakonstantinou et al 2016), monitoring glacier movement (Immerzeel et al 2014;Ryan et al 2015), studying Antarctic moss beds (Lucieer et al 2014b), soil erosion monitoring (d'Oleire-Oltmanns et al 2012), fluvial geomorphology (Mori et al 2002;Tamminga et al 2015;Woodget et al 2015) and forest research (Tang and Shao 2015;Wallace et al 2012). These studies are conducted using different UAV platforms delivered by various manufacturers (i.e., hybrid, flapping-wing, fixed-wing, coaxial, duct-fan, single rotor, and multi-rotor).…”

Section: Methodsmentioning

confidence: 99%

Application of Low-Cost Fixed-Wing UAV for Inland Lakes Shoreline Investigation

Templin

Popielarczyk

Kosecki

2017

Pure Appl. Geophys.

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Abstract-One of the most important factors that influences the performance of geomorphologic parameters on urban lakes is the water level. It fluctuates periodically, causing shoreline changes. It is especially significant for typical environmental studies like bathymetric surveys, morphometric parameters calculation, sediment depth changes, thermal structure, water quality monitoring, etc. In most reservoirs, it can be obtained from digitized historical maps or plans or directly measured using the instruments such as: geodetic total station, GNSS receivers, UAV with different sensors, satellite and aerial photos, terrestrial and airborne light detection and ranging, or others. Today one of the most popular measuring platforms, increasingly applied in many applications is UAV. Unmanned aerial system can be a cheap, easy to use, on-demand technology for gathering remote sensing data. Our study presents a reliable methodology for shallow lake shoreline investigation with the use of a low-cost fixed-wing UAV system. The research was implemented on a small, eutrophic urban inland reservoir located in the northern part of Poland-Lake Suskie. The geodetic TS, and RTK/GNSS measurements, hydroacoustic soundings and experimental aerial mapping were conducted by the authors in 2012-2015. The article specifically describes the UAV system used for experimental measurements, the obtained results and the accuracy analysis. Final conclusions demonstrate that even a lowcost fixed-wing UAV can provide an excellent tool for accurately surveying a shallow lake shoreline and generate valuable geoinformation data collected definitely faster than when traditional geodetic methods are employed.

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Section: Methodsmentioning

confidence: 99%

Application of Low-Cost Fixed-Wing UAV for Inland Lakes Shoreline Investigation

Templin

Popielarczyk

Kosecki

2017

Pure Appl. Geophys.

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“…Environmental and geological monitoring can profit from fast multi-temporal acquisitions delivering high-resolution images (Thamm and Judex, 2006;Niethammer et al, 2010). RPASs can also be considered a good solution for mapping and monitoring different active processes at the earth's surface (Fonstad et al, 2013;Piras et al, 2017;Feurer et al, 2017;Hayakawa et al, 2018) such as at glaciers (Immerzeel et al, 2014;Ryan et al, 2015;Fugazza et al, 2017), Antarctic moss beds (Lucieer et al, 2014b), coastal areas (Delacourt et al, 2009;Klemas, 2015), interseismic deformations (Deffontaines et al, 2017(Deffontaines et al, , 2018 and in river morphodynamics (Gomez and Purdie, 2016;Jaud et al, 2016;Aicardi et al, 2017;Bolognesi et al, 2016;Benassai et al, 2017), debris flows (Wen et al, 2011) and river channel vegetation (Dunford et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Giordan

Hayakawa

Nex

et al. 2018

Nat. Hazards Earth Syst. Sci.

140

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Abstract. The number of scientific studies that consider possible applications of remotely piloted aircraft systems (RPASs) for the management of natural hazards effects and the identification of occurred damages strongly increased in the last decade. Nowadays, in the scientific community, the use of these systems is not a novelty, but a deeper analysis of the literature shows a lack of codified complex methodologies that can be used not only for scientific experiments but also for normal codified emergency operations. RPASs can acquire on-demand ultra-high-resolution images that can be used for the identification of active processes such as landslides or volcanic activities but can also define the effects of earthquakes, wildfires and floods. In this paper, we present a review of published literature that describes experimental methodologies developed for the study and monitoring of natural hazards. IntroductionIn the last three decades, the number of natural disasters showed a positive trend with an increase in the number of affected populations. Disasters not only affected the poor and characteristically more vulnerable countries but also those thought to be better protected. The Annual Disaster Statistical Review describes recent impacts of natural disasters on the population and reports 342 naturally triggered disasters in 2016 (Guha-Sapir et al., 2017). This is less than the annual average disaster frequency observed from 2006 to 2015 (376.4 events). However, natural disasters are still responsible for a high number of casualties (8733 death). In the period 2006-2015, the average number of causalities caused annually by natural disasters is 69 827. In 2016, hydrological disasters (177) had the largest share in natural disaster occurrence (51.8 %), followed by meteorological disasters (96; 28.1 %), climatological disasters (38; 11.1 %) and geophysical disasters (31; 9.1 %) (Guha-Sapir et al., 2017). To face these disasters, one of the most important solutions is the use of systems able to provide an adequate level of information for correctly understanding these events and their evolution. In this context, surveying and monitoring natural hazards gained importance. In particular, during the emergency phase it is very important to evaluate and control the phenomenon of evolution, preferably operating in near real time or real time, and consequently, use this information for a better risk assessment scenario. The available acquired data must be processed rapidly to support the emergency services and decision makers.Recently, the use of remote sensing (satellite and airborne platform) in the field of natural hazards and disasters has become common, also supported by the increase in geospatial technologies and the ability to provide and process up-to-date imagery (Joyce et al., 2009;Tarolli, 2014). Remotely sensed data play an integral role in predicting hazard events such as floods and landslides, subsidence events and other ground instabilities. Because of their acquisition mode and capabilPublished by Copern...

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“…LiDAR is another technology that allows the derivation of DSMs. Studies that successfully used UAV-or LiDAR-derived DSMs for vegetation monitoring include [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Estimating Barley Biomass with Crop Surface Models from Oblique RGB Imagery

Brocks

Bareth

2018

Remote Sensing

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Non-destructive monitoring of crop development is of key interest for agronomy and crop breeding. Crop Surface Models (CSMs) representing the absolute height of the plant canopy are a tool for this. In this study, fresh and dry barley biomass per plot are estimated from CSM-derived plot-wise plant heights. The CSMs are generated in a semi-automated manner using Structure-from-Motion (SfM)/Multi-View-Stereo (MVS) software from oblique stereo RGB images. The images were acquired automatedly from consumer grade smart cameras mounted at an elevated position on a lifting hoist. Fresh and dry biomass were measured destructively at four dates each in 2014 and 2015. We used exponential and simple linear regression based on different calibration/validation splits. Coefficients of determination R 2 between 0.55 and 0.79 and root mean square errors (RMSE) between 97 and 234 g/m 2 are reached for the validation of predicted vs. observed dry biomass, while Willmott's refined index of model performance d r ranges between 0.59 and 0.77. For fresh biomass, R 2 values between 0.34 and 0.61 are reached, with root mean square errors (RMSEs) between 312 and 785 g/m 2 and d r between 0.39 and 0.66. We therefore established the possibility of using this novel low-cost system to estimate barley dry biomass over time.

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Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds

Abstract: of the presentation at the

Cited by 230 publications

References 46 publications

Application of Low-Cost Fixed-Wing UAV for Inland Lakes Shoreline Investigation

Application of Low-Cost Fixed-Wing UAV for Inland Lakes Shoreline Investigation

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Estimating Barley Biomass with Crop Surface Models from Oblique RGB Imagery

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