Active landslide monitoring using remote sensing data, GPS measurements and cameras on board UAV

Konstantinos G. Nikolakopoulos; Katerina Kavoura; Nikolaos Depountis; Nikolaos Argyropoulos; Ioannis Koukouvelas; Nikolaos Sabatakakis

doi:10.1117/12.2195394

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20 October 2015 Active landslide monitoring using remote sensing data, GPS measurements and cameras on board UAV

Konstantinos G. Nikolakopoulos; Katerina Kavoura; Nikolaos Depountis; Nikolaos Argyropoulos; Ioannis Koukouvelas; Nikolaos Sabatakakis

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Proceedings Volume 9644, Earth Resources and Environmental Remote Sensing/GIS Applications VI; 96440E (2015) https://doi.org/10.1117/12.2195394
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

An active landslide can be monitored using many different methods: Classical geotechnical measurements like inclinometer, topographical survey measurements with total stations or GPS and photogrammetric techniques using airphotos or high resolution satellite images. As the cost of the aerial photo campaign and the acquisition of very high resolution satellite data is quite expensive the use of cameras on board UAV could be an identical solution. Small UAVs (Unmanned Aerial Vehicles) have started their development as expensive toys but they currently became a very valuable tool in remote sensing monitoring of small areas. The purpose of this work is to demonstrate a cheap but effective solution for an active landslide monitoring. We present the first experimental results of the synergistic use of UAV, GPS measurements and remote sensing data. A six-rotor aircraft with a total weight of 6 kg carrying two small cameras has been used. Very accurate digital airphotos, high accuracy DSM, DGPS measurements and the data captured from the UAV are combined and the results are presented in the current study.

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Konstantinos G. Nikolakopoulos, Katerina Kavoura, Nikolaos Depountis, Nikolaos Argyropoulos, Ioannis Koukouvelas, and Nikolaos Sabatakakis "Active landslide monitoring using remote sensing data, GPS measurements and cameras on board UAV", Proc. SPIE 9644, Earth Resources and Environmental Remote Sensing/GIS Applications VI, 96440E (20 October 2015); https://doi.org/10.1117/12.2195394

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