TU7.V2.1

FOREST PARAMETER ESTIMATION BY MEANS OF MULTI-BASELINE POL-INSAR TECHNIQUES: STATE-OF-THE-ART AND FUTURE CHALLENGES

Konstantinos Papathanassiou, Roman Guliaev, Changhyun Choi, Lea Albrecht, Noelia Romero-Puig, Alberto Alonso-Gonzalez, Jun-Su Kim, Matteo Pardini, German Aerospace Center (DLR), Germany

Session:
Polarimetric SAR Interferometry: Methods and Applications Oral Virtual

Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Location:
Virtual Room 2

Presentation Time:
Tue, 19 Jul, 23:00 - 23:15 Malaysia Time (UTC +8)
Tue, 19 Jul, 17:00 - 17:15 Central European Time (UTC +2)
Tue, 19 Jul, 15:00 - 15:15 UTC
Tue, 19 Jul, 11:00 - 11:15 Eastern Time (UTC -4)

Session Co-Chairs:
Konstantinos Papathanassiou, German Aerospace Center (DLR) and Marco Lavalle, NASA JPL/Caltech
Session Manager:
Nik Zainun Nik Mood
Presentation
Discussion
Resources
No resources available.
Session TU7.V2
TU7.V2.1: FOREST PARAMETER ESTIMATION BY MEANS OF MULTI-BASELINE POL-INSAR TECHNIQUES: STATE-OF-THE-ART AND FUTURE CHALLENGES
Konstantinos Papathanassiou, Roman Guliaev, Changhyun Choi, Lea Albrecht, Noelia Romero-Puig, Alberto Alonso-Gonzalez, Jun-Su Kim, Matteo Pardini, German Aerospace Center (DLR), Germany
TU7.V2.2: FOREST ABOVEGROUND BIOMASS ESTIMATION ACROSS DIFFERENT SITES USING P-BAND POLINSAR-RETRIEVED FOREST HEIGHT
Zhanmang Liao, Binbin He, Yue Shi, Yanxi Li, University of Electronic Science and Technology of China, China
TU7.V2.3: POTENTIAL OF QUAD-POLARIMETRIC SAR DATA IN IDENTIFYING FLAT AREAS OVER NATURAL GEOLOGICAL SURFACES
Yao Gao, Wentao Hou, Xiuqing Liu, Yonghui Han, Chunle Wang, Robert Wang, Aerospace Information Research Institute, Chinese Academy of Sciences, China
TU7.V2.4: A PRELIMINARY STUDY OF PADDY RICE YIELD ESTIMATION USING FULL POLARIMETRIC AIR-BORNE X-BAND SAR DATA
Soh Furuya, Chinatsu Yonezawa, Graduate School of Agricultural Science, Tohoku University, Japan; Naoki Ishitsuka, National Agriculture and Food Research Organization, Japan; Shoichiro Kojima, National Institute of Information and Communications Technology, Japan
TU7.V2.5: GLOBAL SENTINEL-1 INSAR COHERENCE: OPPORTUNITIES FOR MODEL-BASED ESTIMATION OF LAND PARAMETERS
Marco Lavalle, NASA JPL/Caltech, United States; Chiara Telli, Nazzareno Pierdicca, Sapienza University, Italy; Unmesh Khati, Indian Institute of Technology, Indore, India; Oliver Cartus, Gamma RS, Switzerland; Josef Kellndorfer, Earth Big Data, United States