Use of Fisheye Parrot Bebop 2 Images for 3d Modelling Using Commercial Photogrammetric Software

Pagliari, Diana; Pinto, Livio

doi:10.5194/isprs-archives-xlii-2-813-2018

Cited by 6 publications

(2 citation statements)

References 21 publications

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“…UAS survey strategies using the Sequoia multispectral sensor and the RGB sensor from the DJI Mavic Pro can, therefore, provide satisfactory results in terms of sward height modeling at the individual field height measurement (R 2 = 0.46 and 0.48 for Sequoia and Mavic, respectively), as well as at the 10.5 m 2 ; plot scale (R 2 = 0.73 and 0.71, respectively). Authors in other disciplines have also obtained satisfactory results using rolling shutter and fisheye lens cameras [40,54,55]. Recent improvements in most commercial photogrammetric suites (e.g., PiX4D and Agisoft) have included integrated specific calibration routines for rolling shutter sensors and fisheye lenses.…”

Section: Discussionmentioning

confidence: 99%

Can Low-Cost Unmanned Aerial Systems Describe the Forage Quality Heterogeneity? Insight from a Timothy Pasture Case Study in Southern Belgium

Michez

Lejeune

Knoden³

et al. 2020

Remote Sensing

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Applied to grazing management, unmanned aerial systems (UASs) allow for the monitoring of vegetation at the level of each individual on the pasture while covering a significant area (>10 ha per flight). Few studies have investigated the use of UASs to describe the forage quality in terms of nutritive value or chemical composition, while these parameters are essential in supporting the productive functions of animals and are known to change in space (i.e., sward species and structure) and time (i.e., sward phenology). Despite interest, these parameters are scarcely assessed by practitioners as they usually require important laboratory analyses. In this context, our study investigates the potential of off-the-shelf UAS systems in modeling essential parameters of pasture productivity in a precision livestock context: sward height, biomass, and forage quality. In order to develop a solution which is easily reproducible for the research community, we chose to avoid expensive solutions such as UAS LiDAR (light detection and ranging) or hyperspectral sensors, as well as comparing several UAS acquisition strategies (sensors and view angles). Despite their low cost, all tested strategies provide accurate height, biomass, and forage quality estimates of timothy pastures. Considering globally the three groups of parameters, the UAS strategy using the DJI Phantom 4 pro (Nadir view angle) provides the most satisfactory results. The UAS survey using the DJI Phantom 4 pro (Nadir view angle) provided R2 values of 0.48, 0.72, and 0.7, respectively, for individual sward height measurements, mean sward height, and sward biomass. In terms of forage quality modeling, this UAS survey strategy provides R2 values ranging from 0.33 (Acid Detergent Lignin) to 0.85 (fodder units for dairy and beef cattle and fermentable organic matter). Even if their performances are of lower order than state-of-art techniques such as LiDAR for sward height or hyperspectral sensors (for biomass and forage quality modeling), the important trade-off in terms of costs between UAS LiDAR (>100,000 €) or hyperspectral sensors (>50,000 €) promotes the use of such low-cost UAS solutions. This is particularly true for sward height modeling and biomass monitoring, where our low-cost solutions provide more accurate results than state-of-the-art field approaches, such as rising plate meters, with a broader extent and a finer spatial grain.

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Section: Discussionmentioning

confidence: 99%

Can Low-Cost Unmanned Aerial Systems Describe the Forage Quality Heterogeneity? Insight from a Timothy Pasture Case Study in Southern Belgium

Michez

Lejeune

Knoden³

et al. 2020

Remote Sensing

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“…The most significant leap forward came from the spread of commercial multi-rotor Unmanned Aerial Vehicles (UAVs) that, due to their increasing accessibility, allowed low-cost aerial photogrammetry based on MVS algorithms to become common practice, by making the production of large-scale DTMs faster, more accessible, and more affordable (Rinaudo et al, 2012;Nex et al, 2014;Ballarin et al, 2015). In this scenario, affordable solutions grew exponentially and experimentation on the metric reliability of low-cost sensors and devices increased as well (Pagliari et al, 2018;Roncetti et al, 2018). However, in several cases UAVs and other automatic modern instruments (including Terrestrial Laser Scanners and Global Navigation Satellite Systems) cannot be used on the field, due either to operational reasons (transportability, lack of electricity, environmental issues) as well as legal constrains; these issues often affect archaeological areas.…”

Section: D Modelling Of Excavation Areasmentioning

confidence: 99%

Fisheye Photogrammetry to Generate Low-Cost DTMS

Perfetti

Fassi

Rossi

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In the archaeological practice, Digital Terrain Models (DTMs) and Digital Surface Models (DSMs) may be used to represent spatial information about the site by conveying information such as differences in levels, morphology of the terrain and movements of volumes during the excavation. Nowadays DTMs and DSMs can be easily obtained by image-based matching using low altitude aerial dataset acquired from a digital camera by means of a lifting device. In recent years, the spread of commercial multi-rotor unmanned aerial vehicles and their decreasing cost made low-altitude aerial photography even easier than before, where balloons, kites and telescopic masts would have been used instead. However, the use of drones is often forbidden by law, especially in the archaeological areas, and therefore a more traditional approach must to be adopted instead.This paper presents two different approaches adopted on the field to acquire the DTM of an archaeological excavation: the use of a pole held by a chest harness to lift a camera up to 3.5 m height fitted with a 20 mm wide angle lens; and a second solution that exploits ground-based fisheye photogrammetry. In general, an image network acquired from ground level is challenging due to: i) the poor coverage that can be obtained on the ground, ii) the large number of images that are required to cover large areas and consequently iii) the longer elaboration time that is required to process the data. The fisheye approach, however, proved to be more effective thanks to the more robust image network resulting both from the wider field of view and from the possibility to handle large datasets by downsampling the images and still retrieving strong key points. The main difference with the first system is that the monotonous images acquired by the 20 mm lens, very plain in texture, require working at full resolution in order to distinguish valid features in the sand.The final product of the tests carried out along this line in 2019 at Saqqara (Egypt) is a comprehensive DSM of the entire archaeological site with an accuracy of ~3 cm.

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Some new knowledge brought by 3D digitizations of the chapel of Kerfons (Brittany)

Barreau,

Brandilly,

Platen

et al. 2023

Journal of Archaeological Science: Reports

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Use of Fisheye Parrot Bebop 2 Images for 3d Modelling Using Commercial Photogrammetric Software

Cited by 6 publications

References 21 publications

Can Low-Cost Unmanned Aerial Systems Describe the Forage Quality Heterogeneity? Insight from a Timothy Pasture Case Study in Southern Belgium

Can Low-Cost Unmanned Aerial Systems Describe the Forage Quality Heterogeneity? Insight from a Timothy Pasture Case Study in Southern Belgium

Fisheye Photogrammetry to Generate Low-Cost DTMS

Some new knowledge brought by 3D digitizations of the chapel of Kerfons (Brittany)

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