Invited Sessions

SAR Interferometry in Urban Areas

G. Fornaro (CNR, Italy) and Richard Bamler (DLR, Germany)

Synthetic Aperture Radar Interferometry has gained interest in many applications, especially thanks to the development of advanced techniques that jointly process coherent multiple acquisitions.
In parallel, the recent launches of high resolution spaceborne radar systems have increased the technological potential both in terms of the number and of the quality of the data.
In particular, urban areas are sites of key importance because of the high human pressure and of the density of strategic structures and infrastructures.
The invited session aims to provide the state of art in the development and application of SAR interferometry to urban areas. Contributions include, but are not limited to interferometry for 3D reconstruction, differential interferometry and Persistent Scatterers Interferometry (PSI), tomography, differential tomography, and polarimetric interferometry. Contributions regarding the new high resolution SAR satellites, even with preliminary results, are solicited.

InSAR Special Session (IN-1)

Authors Title Country
HUANG Qihuan, HE Xiufeng SAR Interferometry for Long Term Deformation Mapping Using SBAS Method: A Case study in Nanjing Area China
Nico Adam, Xiao Xiang Zhu, Richard Bamler Coherent Stacking with TerraSAR-X Imagery in Urban Areas Germany
Manuela Bonano, Gianfranco Fornaro, Riccardo Lanari, Michele Manunta, Diego Reale, Francesco Serafino Advanced Interferometric Techniques for Monitoring Urban Areas Italy
Fabio Baselice, Alessandra Budillon, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi Dem Reconstruction in Urban Scenario Italy
Daniele Perissin, Teng Wang, Claudio Prati, Fabio Rocca PSInSAR Analysis over the Three Gorges Dam and urban areas in China Italy, China

InSAR Special Session (IN-2)

Authors Title Country
Fan WANG, Zhaoquan HUANG, Dengrong ZHANG A Study of Land Subsidence with PS-InSAR Method Based on Wavelet Phase Analysis China
Youquan Zhang, Huili Gong, Xiaojuan Li, Beibei Chen, Huan Zhou, Ang Sheng Seasonal Displacements in Upper-Middle alluvial Fan of ChaobaiRiver, Beijing, China, Observed by the Permanent Scatterers Techique China
Daqing Ge, Yan Wang, Qiong Hu, Jinghui Fan, Xiaofang Guo Monitoring Urban Subsidence with Coherent Point Target SAR Interferometry China
Qiong Hu, Daqing Ge, Yan Wang, Ling Zhang, Xiaofang Guo Urban Subsidence Monitoring using Interferometric Point Target Analysis China
Andreas R. Brenner, Ludwig Roessing, Wolfram Bürger Potential of very high resolution SAR interferometry for urban building analysis Germany
Mario Costantini, Salvatore Falco, Federico Minati,Fabio Malvarosa, Francesco Trillo Persistent scatterer pairs (PSP) technique and high resolution SAR interferometry in urban areas Italy

Satellite Observed Nighttime Lights

C. Elvidge (National Oceanic and Atmospheric Administration, USA)

Nocturnal lighting has emerged as one of the hallmarks of modern development and provides a unique attribute for identifying the presence of development or human activity that can be sensed remotely. Although there are some cultural variations in the quantity and quality of lighting in various countries, there is a remarkable level of similarity in the variety of lighting technologies and lighting levels around the world. The primary factor affecting the quantity of lighting is wealth. Regions with high per capita income have much more lighting than regions with low per capita income. Even within affluent regions, however, lighting technologies (lamps and lighting fixtures) are gradually changing as pressure is applied to reduce nighttime sky brightness and conserve energy. Satellite observed nighttime lights are viewed as a proxy for variables that are difficult to measure in a globally consistent manner, including the extent and density of development and as an index for modeling the spatial distribution of economic activity, resource consumption and greenhouse gas emissions. In this session we will explore the characteristics and applications being developed for currently available satellite observed nighttime lights, the shortcoming of these products and possible future improvements.

Nightime Special Session (NT)

Authors Title Country
Chris Elvidge Overview of DMSP nighttime lights and future possibilities USA
Yasunari Matsuno, Kazue Ichino Takahashi, Jiro Nakamura, Yoshihiro Adachi, Chris Elvidge Calculation of Urban In-Use Stock of Materials With DMSP Nighttime Lights Data Japan, USA
Tilottama Ghosh, Rebecca L. Powell, Paul C. Sutton, Christopher D. Elvidge Estimation of Mexico’s Informal Economy Using DMSP Nighttime Lights Data USA
L. Zhuo, T. Ichinose, J. Zheng, J. Chen Modelling the population density of China at the pixel level based on DMSP/OLS non-radiance-calibrated nighttime light images Japan, China
Rui Sun, Xia Zhang, Yiluo Dang Urban expansion analysis of the Huang-Huai-Hai plain region by DMSP/OLS nighttime light data China
Husi Letu, Masanao Hara, Shuhei Okada, Hiroshi Yagi, Kazuhiro Naoki, Gegen Tana and Fumihiko Nishio Estimating the energy consumption with nighttime city light from the DMSP/OLS imagery Japan

Very High Resolution SAR for urban mapping

F. Dell’Acqua (University of Pavia Italy) and U. Soergel (University of Hannover, Germany)

SAR data at Very High Resolution, around one meter or less, once restricted to airborne sensors, is becoming increasingly available also on spaceborne sensors after the launch of new sensors like COSMO/SkyMed, TerraSAR-X and RADARSAT-2. This opens new opportunities and poses new challenges, including the understanding of whether and how the methods developed for airborne sensors are applicable to the new spaceborne data of similar resolution. The combination of VHR SAR data with the possibility of routinely repeated acquisition is especially important for urban areas, where the complexity and the inhomogeneity of the environment makes a huge amount of additional data available, whose effective exploitation is highly desirable.

HR SAR Special Session (HR-1)

Authors Title Country
Jan Dirk Wegner, Uwe Soergel Building height estimation from combined very high resolution optical and sar imagery Germany
F. Dell'Acqua, P. Gamba, G. Lisini, L. Odasso Segment-based urban block outlining in HR-SAR images Italy
H. Sportouche, F. Tupin, L. Denise Building extraction and 3D reconstruction in Urban areas from High-Resolution Optical and SAR Imagery France
U. Stilla Problems and challenges of road extraction from very high resolution SAR images Germany

HR SAR Special Session (HR-2)

Authors Title Country
Renè Höfer, Ellen Banzhaf and Annemarie Ebert Delineation of urban structure types (UST) in a heterogeneous megacity environment with VHR and radar data Germany
Tu Shangtan, Sun Hong Fuzzy Samples Retrieval: A Method of SAR Image Retrieval in Urban Areas Cina
Zhaoquan Huang, Bin XIE, Le YU Cosmo-Skymed High Resolution SAR Images Based Urban Main Road Extraction Cina
XU Jia, HE Xiu-feng Statistical characterization and modeling of High resolution COSMO/SkyMed SAR images over Urban Areas Cina

High Resolution Remote Sensing for Seismic Risk Management in China

Timo Baltz (Wuhan University, China) and F. Dell’Acqua (University of Pavia Italy)

The recent, disastrous earthquake that stroke East Sichuan, China on 12th of May 2008, causing extensive damage to properties and claiming the lives of many, suddenly spotlighted satellite observation of the Earth as a means to quickly obtain useful maps and information over temporarily inaccessible areas. The discovery and continuously monitoring of the so-called "quake lakes", which have been formed by landslides building natural dams and blocking rivers, saved the lives of thousands of survivors and rescuers downstream and finally allowed specialized teams the controlled draining of the lakes before the dams break. This session is meant to contribute a scientific perspective on the use of very high resolution satellite data for the management of seismic risk (including earthquakes and landslides) on both the sides of response and preparedness.

Disaster Special Session (DS)

Authors Title Country
Steffen Kuntz, Bernd Scheuchl, Ralf Duering Rapid Mapping of Infrastructure in Maowen and Beichuan Counties after the May 2008 Earthquake Germany
Janet Nichol, Man Sing Wong and Ahmed Shaker Application of high-resolution stereo satellite images to detailed landslide hazard assessment Singapore
Liao, Zhan, Balz Surveying land-slide prone areas in rural China using PSInSAR and high-resolution InSAR China, Germany
Daniele Perissin, Teng Wang, Fabrizio Novali Monitoring terrain motion in China by means of spaceborne SAR images Italy, China
Fabio Dell'Acqua, Alessandro Sacchetti Steps towards a new technique for automated registration of pre- and post-event images Italy

Fusion of Remotely Sensed Data in Urban Areas

Bea Csatho (University at Buffalo, USA) and Toni Schenk (The Ohio State University, USA)

Mapping urban areas and particularly updating existing digital maps and geospatial data bases is of great importance to managing municipalities effectively. In addition, there is also an increasing need to monitor strategic sites and infrastructures. In order to solve mapping and updating in a timely fashion it is of paramount importance to automate the procedures to the maximum possible extent. However, automating map making processes by mimicking the capabilities of human experts is a formidable challenge—a challenge that has not been conquered yet.
A promising approach to increased automation is based on using different sensors that record complementary information of urban scenes. Such sensors may be mounted on the same platform, recording data simultaneously, or may be used on different platforms and at different times. Fusion of remotely sensed data entails sensor registration, feature and information extraction, and the clever combination of spatial and semantic information obtained from multiple sensors.
The scope of the invited session is broad and includes novel sensors that may provide new, useful information; all aspects of sensor registration; extracting features and perceptually organize them into meaningful information; reasoning with spatial and semantic information obtained from multiple sensors; verifying results obtained from automatic processes.

Fusion Special Session (DF-1)

Authors Title Country
Juseok Hong, Impyeong Lee Combining Airborne LIDAR and Imagery Data for DSM Generation Korea
Gamal Seedahmed, Lou Martucci Automatic Registration of GIS Vector Data with Resolution Satellite Imagery USA
J.J. Jaw, C.C. Cheng Data Fusion towards Building Roof Reconstruction based on CSR approach Taiwan
Sagi Filin Fusion of sparse laser data and images for detailed modeling of urban scenes Israel
Michael Hahn A Gyrocopter Experiment on Thermal Imaging of Urban Areas Germany

Fusion Special Session (DF-2)

Farhad Samadzadegan, Michael Hahn, Behnaz Bigdeli Automatic Road Extraction from Lidar Data based on Classifier Fusion Iran
Farhad Samadzadegan, Toni Schenk, Fatemeh Tabib Mahmoudi An Agent-Based Method for Automatic Building Recognition Based on the Fusion of Lidar Range and Intensity Data Iran
Toni Schenk, Bea Csatho Inclusion of Spectral Data into Object Recognition – Feature Extraction from a Hyperspectral Image Cube USA
Huan Xie Object-based binary encoding algorithm -an integration of hyperspectral data and DSM China
Heng Chi Fusion of remotely sensed images based on subsampled contourlet transform and spectral response China