Workshops and Tutorials

 

 
  

 

 

 

W1: Radar Interferometry in the Sentinel-1 Era

(Scientific Workshop - Half Day)

 

Ramon Hanssen

Professor

Remote Sensing

Faculty of Civil Engineering and Geosciences, Delf University of Technology, Netherlands

r.f.hanssen@tudelf.nl

 

 
 

W2: Spaceborne InSAR: Techniques and Applications

(Scientific Workshop - Half Day)

 

 


Daniele Perissin

Assistant Professor

Remote Sensing

Lyles School of Civil Engineering, Geomatics, Purdue University

daniele.perissin@sarproz.com

The use of satellite images is becoming more and more common in the field of Earth Sciences: wide areas (thousands of sq miles) can nowadays be safely observed at once, revealing geophysical parameters in a totally new perspective. Microwave signals in particular can penetrate the atmosphere and acquire images from satellites day and night, providing unique archives of observations of the Earth surface. In this context, Synthetic Aperture Radar Interferometry (InSAR) has proved being an advanced technology capable of recording ground movements at unprecedented scales (inches over hundreds of miles). However, it is still little known that, by exploiting long series of SAR images, the precision of the InSAR technology can be pushed to detecting millimetric displacement of single objects. Thanks to advanced algorithms it is nowadays possible to monitor also infrastructures as bridges, roads, dams, railways. In this workshop InSAR concepts will be presented together with the most multi-temporal processing techniques. Several case studies will be shown, from wide areas subsidence monitoring up to the analysis of settlement of urban structures. Examples of ground movements caused by water extraction, seismic activities, landslides, water pressure (on dams), thermal expansion (on building/bridges) detected by SAR satellites will be discussed. The speaker will also briefly introduce the software he developed for analyzing InSAR data, SARPROZ (www.sarproz.com).




W3: Geophysical Parameters Retrieval Using Active Microwave Remote Sensing

(Scientific Workshop - Half Day)


 https://geospatialconf.ut.ac.ir/data/cnf1481689777/avatar/1493010997.jpg


Vahid Naeimi 

University Assistant

Remote Sensing

Vienna University of Technology

vahid.naeimi@geo.tuwien.ac.at

Spaceborne sensors operating in the microwave spectrum including Synthetic Aperture Radars (SAR), Scatterometers, and Radiometers have been used for derivation of various geophysical parameters in a wide range of applications such as soil moisture change-detection, water bodies mapping, floods and droughts monitoring, snow cover mapping, freeze/thaw detection, vegetation phenology, crop classification, and urban areas identification. Microwave remote sensing, in range of 1 cm to 1 m wavelength, in both active and passive forms, have special properties because of low frequency of microwaves compared to visible and infrared. They can penetrate through clouds, rain, and dust with no or negligible attenuation as the longer wavelengths are not involved in atmospheric scattering. This unique property allows measuring the backscattering energy under almost all weather and environmental conditions. The microwave sensors at different frequencies are used for various land, ocean, and atmospheric applications. In this tutorial, the focus will be land applications of the active microwave sensors (radars): an overview from basics to applications, satellite data processing techniques and retrieval algorithms.



 

W4: Map Production Line by UAV Photogrammetry: Some Practical and Technical Points

(Scientific Workshop - Half Day)

 

 


Mohammad Saadatseresht

Associate Professor  

Photogrammetry

School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran

msaadat@ut.ac.ir

 Todays, we observe a progressive trend for utilizing UAV in different applications. In this regard, we face to serious challenges for high-quality topographic map and spatial information production. These challenges include (1) using various non-metric cameras with high geometric distortions and unstable interior orientation parameters, (2) having irregular image network due to different image tilts and side laps and (3) using low-quality images due to image motion, lens blurring and radiometric limitations, that cause to photogrammetric network design and processing are a complex subject for newcomers and final spatial products are infected with some geometric and radiometric errors.
In this half a day workshop, we suppose the participants are familiar with the basic concepts of photogrammetry, we aim to present the operational challenges and answer the questions in the UAV photogrammetry production line. We present following topics: (1) preflight considerations including camera and UAV selection and parameter tuning, (2) during flight considerations including GRD estimation of optical system, practical aspects of flying in different areas, (3) aerial triangulation including number and distribution of GCPs, image side/overlaps and network strength, self-calibration issue, effect of GNSS/RTK data on AT, optimum weight determination in AT, and blunder detection and robust estimation, (4) DEM and OIM generation including optimum sampling interval, and OIM types, (5) 3D vector map generation including limitation of map production from OIM, optimum model selection in stereoscopic vision, geometric distortion correction in stereoscopic vision, and multi-ray photogrammetry, (6) contract considerations including time/cost analysis, and flying/field surveying balance.

 
 

W5: Kernel-Based Learning Methods for Remote Sensing Image Analyses

(Scientific Workshop - Half Day)