Posters

NH6.2

The availability of high spatial resolution Synthetic Aperture Radar (SAR) data, the advances in SAR processing techniques (e.g. interferometric, polarimetric, and tomographic processing), and the fusion of SAR with optical imagery as well as geophysical modelling allow ever increasing use of Imaging Geodesy using SAR/InSAR as a geodetic method of choice for earth system monitoring and investigating geohazard, geodynamic and engineering processes. In particular, the exploitation of data from new generation SAR missions such as Sentinel-1 that provide near real-time measurements of deformation and changes in land cover/use has improved significantly our capabilities to understand natural and anthropogenic hazards and then helped us mitigate their impacts. The development of high-resolution X-band SAR sensors aboard missions such as Italian COSMO-SkyMed (CSK) and German TerraSAR-X (TSX) has also opened new opportunities over the last decade for very high-resolution radar imaging from space with centimetre geometric accuracy for detailed analysis of a variety of processes in the areas of the biosphere, geosphere, cryosphere and hydrosphere. All scientists exploiting radar data from spaceborne, airborne and/or ground-based SAR sensors are cordially invited to contribute to this session. The main objective of the session is to present and discuss the progress, state-of-the-art and future perspectives in scientific exploitation of SAR data, mitigating atmospheric effects and error sources, cloud computing, machine learning and big data analysis, and interpretation methods of results obtained from SAR data for various types of disasters and engineering applications such as earthquakes, volcanoes, landslides and erosion, infrastructure instability and anthropogenic activities in urban areas. Contributions addressing scientific applications of SAR/InSAR data in biosphere, cryosphere, and hydrosphere are also welcome.

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Co-organized as AS5.13/CR2.15/G2.7/GD10.3/HS11.45/NP4.11/SM1.14
Convener: Mahdi Motagh | Co-conveners: Ziyadin Cakir, Franz J Meyer, Zhenhong Li
Orals
| Mon, 08 Apr, 08:30–12:30, 14:00–15:45
 
Room M2
Posters
| Attendance Mon, 08 Apr, 16:15–18:00
 
Hall X3

Attendance time: Monday, 8 April 2019, 16:15–18:00 | Hall X3

Chairperson: Mahdi Motagh, Zhenhong Li, Ziyadin Cakir
X3.160 |
EGU2019-7698
Rafal Marciniak, Maya Ilieva, Witold Rohm, and Guergana Guerova
X3.161 |
EGU2019-8037
Wei Ching Hung, Jyr-Ching Hu, Ying-Hui Yang, and Aurelio Mario A.
X3.162 |
EGU2019-11243
Adriano Nobile, Mohammad Youssof, Daniele Trippanera, Hani M. Zaharan, Martin Mai, and Sigurjón Jónsson
X3.163 |
EGU2019-13017
Zhenhong Li, Chuang Song, Chen Yu, Lifu Chen, and Hui Luo
X3.164 |
EGU2019-14120
Maya Ilieva, Andrzej Borkowski, Witold Rohm, Piotr Polanin, Piotr Gruchlik, Kamil Smolak, and Andrzej Kowalski
X3.165 |
EGU2019-15322
Matthias Schlögl, Michael Avian, Barbara Widhalm, and Marian Ralbovsky
X3.166 |
EGU2019-8420
Study of the Advanced Coregistration Methods of Inteferometric Processing and Sequence Analyzing for Sentinel-1 TOPS Data
(withdrawn)
Wenhao Wu, Sichun Long, and Chuanguang Zhu
X3.167 |
EGU2019-6281
Hongyu Liu, Lei Zhang, Xiaoli Ding, Bofeng Li, and Xiao Tang
X3.168 |
EGU2019-16702
Giovanni Onorato, Claudio De Luca, Francesco Casu, Riccardo Lanari, and Michele Manunta
X3.169 |
EGU2019-15671
Semi-SBAS InSAR Approach For Subsidence Monitoring over Areas with High Deformation Rate
(withdrawn)
Parviz Ajourlou, Sami Samiei Esfahany, and Abdolreza Safari
X3.170 |
EGU2019-15929
Matteo Roccheggiani, Daniela Piacentini, Emanuela Tirincanti, Daniele Perissin, and Marco Menichetti
X3.171 |
EGU2019-17159
Fuan Tsai and Yu-Heng Tai
X3.173 |
EGU2019-4184
Mingliang Gao, Huili Gong, Xiaojuan Li, Beibei Chen, Chaofan Zhou, Lin Guo, Yun Pan, Lin Zhu, and Min Shi
X3.174 |
EGU2019-18400
InSAR imaging of ground deformation in low-coherence areas with a robust radar distributed scatterers analysis
(withdrawn)
Liming Jiang, Qishi Sun, Yuxing Chen, and Zhiwei Zhou
X3.175 |
EGU2019-3376
Mi Chen, Zhenhong Li, Huili Gong, Xiaojuan Li, Xiuxing Zhu, and Xinyue Xu
X3.176 |
EGU2019-3095
Lin Guo, Huili Gong, Xiaojuan Li, Wei Lu, Bo Gao, and Mingliang Gao