Explore the latest in-depth reports concerning the commercial and research use of professional senseFly drones. Do you have a white paper project to propose, or to tell us about?
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Light-weight multispectral UAV sensors and their capabilities for predicting grain yield and detecting plant disease
S. Nebiker ⏐ July 2016⏐ The International Archives of the Photogrammetry,
Researchers from FHNW University of Applied Sciences and Arts Northwestern Switzerland investigated the performance of light-weight multispectral sensors for micro UAVs and their application in agronomical research and agricultural practice. Their study employed a senseFly eBee drone and the cameras employed included Airinov’s multiSPEC 4C.
Remote damage assessment after tornado hazard by using UAS, remote sensing and information technologies
Chris Healy ⏐ October 2017 ⏐ Remote Sensing
Assessment of damage is one of the critical problems shortly after a disaster. To appropriately manage a natural disaster, accurate spatial data that captures the geographic extent of damaged areas, both during and immediately after the event needs to be accurately determined. This study uses large-scale mock disasters to demonstrate the potential for UAS to assist and provide value to the Emergency Operators Center during a disaster.
High-precision assessment at the Aletsch glacier by remote sensing
Francois Gervaix, Briton Voorhees ⏐ March 2017 ⏐ IGTF 2017
The Aletsch glacier is receding. The flanks of the mountains are falling. The state geologist needs a cm-level assessment of the moving volumes. It’s a large, dangerous and inaccessible area. High-precision drone measurements on a regular basis are the only feasible tool to update orthomosaics and 3D models for change detection and volume calculation. With spatial analysis, we aim to quantify and anticipate the evolution of the area, in a genuine 4D situation.
Application of multispectral sensors carried on Unmanned Aerial Vehicle (UAV) to trophic state mapping of small reservoirs: a case study of Tain-Pu Reservoir in Kinmen, Taiwan
Tung-Ching Su, Hung-Ta Chou. ⏐ July 2015 ⏐ Remote Sensing
In this Taiwanese study, RGB and NIR sensors carried on a senseFly drone were applied to the trophic state mapping of Tain-Pu reservoir. According to the authors, “The experimental results indicate that the MPP method can lead to better regression models than the average method”.
Putting stock in your survey
February 2014 ⏐ Geoconnexion International Magazine
How accurate is uav surveying for determining stockpile volumes? Bernhard Draeyer and Christoph Strecha took up the challenge of comparing uav imagery with lidar scans to see how they matched up.
Small Unmanned Aerial Systems (sUAS) for volume estimation
Adam Zylka ⏐ April 2014 ⏐ University of Vermont
This Honors College Thesis examines how stereo imagery obtained from a small Unmanned Aerial System (sUAS), the senseFly eBee, can be used to respond to natural disasters by estimating volumes – such as the amount of material needed to rebuild and repair damaged infrastructure – in a safe, inexpensive, and accurate manner, “on a par with terrestrial LiDAR sensor technology”.
Swinglet CAM exploring the Medieval City of Merv, on the Silk Roads of Central Asia
Tim Williams ⏐ 2011-2012 ⏐ UCL Institute of Archaeology, London WC1H 0PY, United Kingdom
This paper presents an interesting use case of the swinglet CAM for an archaeological project where the use of satellite or photogrammetry airplanes was not satisfying. It demonstrates and discusses how to create effective digital terrain models (DTM) of intricate city surface landscapes with shallow mounds and depressions.
Inspection d’un gazoduc par drone en mode BVLOS
F. Volluz, S. Dépraz, F. Gervaix ⏐ September 2017 ⏐ Géomatique Suisse
Grâce à l’autorisation de vol «hors vue» (BVLOS) obtenue en début d’année 2017, les entreprises Gaznat et senseFly se sont associées pour la réalisation de l’inspection d’un gazoduc par drone sur une distance de 30 km à travers le canton de Vaud.
The accuracy of automatic photogrammetric techniques on ultra-light UAV imagery
O. Küng, C. Strecha, A. Beyeler, J.-C. Zufferey, D. Floreano, and P. Fua ⏐ 2011 ⏐ UAV-g 2011
This paper provides a description of the algorithms developed by Pix4D that are underlying the automatic 3D reconstruction of scenes using images taken by the swinglet CAM. It also shows how the accuracy of the resulting 2D and 3D maps varies in function of the altitude.
Photogrammetric performance of an ultralightweight Swinglet UAV
J. Vallet, F. Panissod, C. Strecha, and M. Tracol ⏐ 2011 ⏐ UAV-g 2011
This paper is the first one to systematically compare results obtained with a swinglet CAM + Postflight Service powered by Pix4D to those obtained with a professional LIDAR carried onboard a manned helicopter. The main conclusion is that the accuracy of the Digital Terrain Model (DTM) based on swinglet CAM images taken at 150m height is in the range of 10-15cm.
Generating highly accurate 3D data using a senseFly albris drone
C. Álvarez, A. Roze, A. Halter, L. Garcia
In this exclusive project senseFly albris drones were used to conduct two photogrammetric land surveys of a construction site, using ground control points (GCPs). The results show that 3D point clouds produced with an albris can reach a global precision comparable to a typical total station survey and, as such, meet the typical accuracy requirements of construction projects.
eBee RTK accuracy assessment
A. Roze, J-C. Zufferey, A. Beyeler, A. McClellan
This goal of this product whitepaper was to validate senseFly’s eBee RTK absolute accuracy claims (3 cm horizontal, 5 cm vertical) by completing a range of flights in different flight modes. The results validated senseFly’s claims. Even in less-than-ideal flight conditions, the eBee RTK was proven to still achieve reach a high standard of reliability, in line with an operator might expect from using a standard (non RTK) eBee alongside ground control points.