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Comparación de los procesos de trabajo y la generación de nubes de puntos del TLS Trimble SX10 y el dron senseFly eBee Plus

Lerch & Weber ⏐ May 2018 ⏐ FIG Congress, Istanbul

Para comparar dos de los instrumentos topográficos más modernos de la actualidad, la firma suiza de inspección “Lerch & Weber SA”, examinó una gravera de cuatro hectáreas empleando la estación total de escaneo SX10 de Trimble y el VANT de fotogrametría eBee Plus de senseFly.

Comparing workflow and point cloud outputs of the Trimble SX 10 TLS and senseFly eBee Plus

Lerch & Weber ⏐ May 2018 ⏐ FIG Congress, Istanbul

In order to compare two of today’s most cutting-edge surveying instruments, Swiss surveying firm Lerch & Weber SA surveyed a four–hectare gravel pit using Trimble’s SX10 scanning total station and senseFly’s eBee Plus RTK/PPK photogrammetry UAV.

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.