PICOs

NH6.4 | PICO

The use of Remotely Piloted Aircraft Systems (RPAS) for geosciences applications has strongly increased in last years. Nowadays the massive diffusion of mini- and micro-RPAS is becoming a valuable alternative to the traditional monitoring and surveying applications, opening new interesting viewpoints. The advantages of the use of RPAS are particularly important in areas characterized by hazardous natural processes, where the acquisition of high resolution remotely sensed data could be a powerful instrument to quickly assess the damages and plan effective rescues without any risk for operators.
In general, the primary goal of these systems is the collection of different data (e.g., images, LiDAR point clouds, gas or radioactivity concentrations, etc.) and the delivery of various products (e.g., 3D models, hazard maps, high-resolution orthoimages, etc.).
The possible use of RPAS has promising perspectives not only for natural hazards, but also in the different field of geosciences, to support a high-resolution geological or geomorphological mapping, or to study the evolution of active processes. The high repeatability of RPAS flight and their limited costs allows the multi-temporal analysis of a studied area. However, methodologies, best practices, advantages and limitations of this kind of applications are yet unclear and/or poorly shared by the scientific community.
This session aims at exploring the open research issues and possible applications of RPAS in geosciences, collecting experiences, case studies, and results, as well as define methodologies and best practices for their practical use. The session will concern the contributions aiming at: i) describing the development of new methods for the acquisition and processing of RPAS dataset, ii) introducing the use of new sensors developed or adapted to RPAS, iii) reporting new data processing methods related to image or point cloud segmentation and classification and iv) presenting original case studies that can be considered an excellent example for the scientific community.

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Co-organized as G6.5/GI3.22/GM2.14
Convener: Daniele Giordan | Co-conveners: Marc Adams, Yuichi S. Hayakawa, F. Nex, Fabio Remondino
PICOs
| Tue, 09 Apr, 10:45–12:30
 
PICO spot 1

Tuesday, 9 April 2019

PICO spot 1
Chairperson: Daniele Giordan, Marc Adams
10:45–10:55 |
PICO1.1 |
EGU2019-15342
Benoit Deffontaines, Kuo-Jen Chang, Shu-Kun Hsu, Lien-Kai Lin, Samuel Magalhaes, Gregory Serries, Gerardo Fortunato, Chyi-Tyi Lee, Shih-Ting Lu, and Yen-Chiu Liu
10:55–10:57 |
PICO1.2 |
EGU2019-289
Efstratios Karantanellis and Vassileios Marinos
10:59–11:01 |
PICO1.4 |
EGU2019-5495
| Highlight
Marc Adams, Christian Tollinger, Andreas Kofler, Armin Graf, and Jan-Thomas Fischer
11:01–11:03 |
PICO1.5 |
EGU2019-8595
Sandra Melzner and Alexander Preh
11:03–11:05 |
PICO1.6 |
EGU2019-9395
Massimo Micieli, Gianluca Botter, and Alfonso Senatore
11:05–11:07 |
PICO1.7 |
EGU2019-5751
Veronika Lechner, Marc Adams, Gerald Schnabel, and Silvio Schüler
11:07–11:09 |
PICO1.8 |
EGU2019-13801
Giulia Ronchetti, Alice Mayer, Arianna Facchi, Bianca Ortuani, and Giovanna Sona
11:09–11:11 |
PICO1.9 |
EGU2019-14478
Catriona Fyffe, Amy Woodget, Martin Kirkbride, Philip Deline, Matthew Westoby, and Benjamin Brock
11:11–11:13 |
PICO1.10 |
EGU2019-14839
Anne Hormes, Karin Bergbjørn, and Axel Hellman
11:13–11:15 |
PICO1.11 |
EGU2019-19114
Marco Piras, Elena Belcore, Alessandro Pezzoli, Giovanni Massazza, and Maurizio Rosso
11:15–11:17 |
PICO1.12 |
EGU2019-18097
Kuo-Lung Wang, Tsung-Wen Chen, Yi-Hsuan Lee, Meei-Ling Lin, and Jun-Tin Lin
11:17–11:19 |
PICO1.13 |
EGU2019-13196
Daniele Giordan, Martina Cignetti, Danilo Godone, and Aleksandra Wrzesniak
11:19–12:30