Orals

BG1.30

Using a wide range of sensors and platforms, remote sensing allows examining and gathering information about an object or a place from a distance. A key development in remote sensing has been the increased availability of data with very high-temporal, spatial and spectral resolution. In the last decades, several types of remote sensing data, including optical, radar, LiDAR from terrestrial, UAV, aerial and satellite platform, have been used to detect, classify, evaluate and measure the Earth surface, including different vegetation covers and forest structure. For the forest sector, such information allow the efficient monitoring of changes over time and space, in support of sustainable forest management, forest, and carbon inventory or for monitoring forest health and their disturbances. Remote Sensing data can provide both qualitatively and quantitatively information about forest ecosystems. In a qualitative analysis forest cover types and species composition can be classified, whereas the quantitative analysis can measure and estimate different forest structure parameters related to single trees (e.g., DBH, height, basal area, timber volume, etc.) and to the whole stand (e.g. number of trees per unit area, distribution, etc.). However, to meet the various information requirements, different data sources should be adopted according to the application, the level of detail required and the extension of the area under study. The integration of in-situ measurements with satellite/airborne/UAV imagery, Structure from Motion, LiDAR and geo-information systems offer new possibilities, especially for interpretation, mapping and measuring of forest parameters and will be a challenge for future research and application. This session explores the potentials and limitations of several types of remote sensing applications in forestry, with the focus on the identification and integration of different methodologies and techniques from different sensors and in-situ data for providing qualitative and quantities forest information.

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Co-organized as GI3.13
Convener: Livia Piermattei | Co-conveners: Christian Ginzler, Xinlian Liang, Eva Lindberg, Emanuele Lingua
Orals
| Wed, 10 Apr, 08:30–12:30
 
Room 2.31
Posters
| Attendance Wed, 10 Apr, 16:15–18:00
 
Hall A

Wednesday, 10 April 2019 | Room 2.31

Chairperson: Christian Ginzler, Livia Piermattei, Xinlian Liang
08:45–09:00 |
EGU2019-13157
Multiscale Remote Sensing to Assess Parameters of the Northern Forests of Russia in the Context of Climate Change
(withdrawn)
Olga Tutubalina, Sergey Bartalev, Elena Golubeva, Arseny Kudikov, Gareth Marshall, Andrey Medvedev, Polina Mikhaylyukova, Gareth Rees, Igor Sereda, Natalia Telnova, Yulia Timokhina, Rachael Turton, Nikolay Shabanov, Vasily Zharko, Mikhail Zimin, and Anna Terskaya
09:00–09:15 |
EGU2019-9328
Dmitry Schepaschenko, Jérôme Chave, Oliver L. Phillips, Simon L. Lewis, Stuart J. Davies, Maxime Réjou-Méchain, Plinio Sist, Christoph Perger, and Klaus Scipal
09:15–09:30 |
EGU2019-14097
Markus Haakana, Aleksi Lehtonen, Mikko Peltoniemi, and Sakari Tuominen
09:30–09:45 |
EGU2019-18424
Lori Magruder, Amy Neuenschwander, Tom Neumann, Nathan Kurtz, Laura Duncanson, and Ralph Dubayah
09:45–10:00 |
EGU2019-4393
Lars T. Waser, David Small, and Marius Rüetschi
10:00–10:15 |
EGU2019-8268
Ranjith Gopalakrishnan, Veli-Pekka Ikonen, Petteri Packalen, and Heli Peltola
Coffee break
Chairperson: Eva Lindberg, Emanuele Lingua
10:45–11:00 |
EGU2019-18227
Josiclêda Galvincio, Magna Soelma Moura, Herica Carvalho, and Cloves Santos
11:00–11:15 |
EGU2019-10292
Magnus Bremer, Martin Rutzinger, and Andreas Kollert
11:15–11:30 |
EGU2019-12168
Markus Hollaus, Martin Mokroš, and Yunsheng Wang
11:45–12:00 |
EGU2019-15796
Wenxia Dai, Bisheng Yang, Xinlian Liang, Zhen Dong, Ronggang Huang, and Yunsheng Wang
12:00–12:15 |
EGU2019-2189
Katja Richter and Hans-Gerd Maas
12:15–12:30 |
EGU2019-2219
Jan Zörner, John R. Dymond, Susan K. Wiser, James D. Shepherd, and Ben Jolly