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)

Vahid Naeimi 

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)

Saeid Niazmardi 

Ph.D

Remote Sensing

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

s.niazmardi@ut.ac.ir

Over the last decade, several successful applications of kernel-based learning methods have been reported for various application domains both in machine learning and remote sensing literature. These methods initially map data into a higher dimensional kernel feature space, in which the data have a simpler representation. Then, they solve a linear problem in the transformed kernel space. Kernel methods due to their excellent learning capabilities and solid theoretical backgrounds usually outperform
traditional statistical and neural networks learning methods. Nowadays, these methods are standard techniques for several common analysis conducted using remote sensing data, such as classification, clustering, regression, feature selection and dimensionality reduction. In addition, more recent development of kernel-based learning methods such as multiple kernel learning (MKL) algorithms, make it possible to use these methods for multi-modal image classification, metric learning and transfer learning. The aim of this tutorial is to briefly introduce the theory and different applications of the kernel-based learning methods. In addition, the issues such as parameter selection and optimization which affect the performances of the kernel-based methods are introduced and discussed.

W6: Classification of Satellite Image Time-series Data

(Scientific Workshop - Half Day)

Saeid Niazmardi 

Ph.D 

Remote Sensing

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

s.niazmardi@ut.ac.ir

Satellite Image Time-Series (SITS) data are a group of images acquired from the same geographical area over a period of time. Based on the dimensionality of the feature space of the data acquires at each time, the SITS data can be divided into two categories of univariate and multivariate. The SITS data can provide valuable information for numerous monitoring, forecasting, and identification applications. Among the different applications of this data, classification is possibly the most important one, because it provides the basis information for several other applications. However, SITS classification is not straightforward, since there are several issues that affect the classification performances. The main purpose of this tutorial is to introduce the main issues that affect classification performances of each category of SITS data and also to introduce methods proposed to address these issues. The focus of this tutorial is on the crop mapping using SITS data classification as one of the most common applications of this data.

W7: Introduction to Field Spectroradiometry

(Scientific Workshop - Half Day)

Parisa Haghighatmehr

 M.Sc. 

Remote Sensing

IRANIAN SPACE AGENCY, General Office of Remote sensing, Remote Sensing National Laboratory

 haghighatmehr_rs@yahoo.com

Field spectrometry is the quantitative measurement of radiance, irradiance, reflectance or transmission in the field. It involves the collection of accurate spectra and requires an awareness of the influences of: Sources of illumination, Atmospheric characteristics and stability, Winds, Instrument field-of-view, Sample viewing and illumination geometry, Instrument scanning time and Spatial and temporal variability of the sample characteristics. Spectral data can provide valuable information for atmospheric science, water quality, ecology, and geology applications. A spectrometer is an optical instrument that uses detectors other than photographic film to measure the distribution of radiation in a particular wavelength region. A spectroradiometer is a special kind of spectrometer that can measure radiant energy (radiance and irradiance).

 In this workshop, following topics will be presented: (1) The role of field spectroscopy in research, (2) The principles of field spectroscopy, (3) Making measurements in the laboratory and field, (4) Introduction to ASD Fieldspec3 and RS3 software. Also, examples of spectral measurements with ASD spectroradiometer will be shown.

W8: Empowering Your Business with Web GIS & Mobile GIS

(Technical Tutorial – Half Day)

Mansour Adibi

Chief Executive Officer

Behin Rayanesh Azad Co.

info@BehinLabs.com

W9: 3D Modelling ; Theory and Practice

(Technical Tutorial – Half Day)

Faranegar Ofoghnama Co.

 Located in Modares science and Technology Park

info@geomaticvista.com

3D modeling is one of the most exciting technological issues in recent years that has many applications in industries. Also many more applications is going to be found over time. These applications consist of person’s sculpture modelling, and creating virtual tours and museums, as well as using in industry.

There are various companies and startups all over the world that work in the field of 3D modeling and use different methods in various fields of industry such as obtaining precise coordinates of the objects and determining the amount of displacement.

Faranegar Company is targeting to hold a series of workshops on 3D modeling issues. Training of 3d modeling of an object by various methods using applied softwares for the purpose of different fields such as industry, cultural heritage, tourism, medicine and dentistry. The forthcoming workshop is the first event of the series, some of the goals of which can be mentioned as follows:

-        Considering the technical tips in 3D modeling process after introducing preliminary variety of 3D modeling methods and comparing these methods.

-        Introducing and comparing two popular softwares: “Agisoft Photoscan” and “Australis”.

-        Implementation of 3D modeling process in an interactive way with participants and involving them with practical topics of the process.

-        Evaluation and analysis of the accuracy of the generated 3d model.