Overview

Teacher CV

https://www.tudelft.nl/citg/over-faculteit/afdelingen/geoscience-and-remote-sensing/staff/scientific-staff/profdrir-rf-ramon-hanssen/

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).

Overview

Teacher CV

https://engineering.purdue.edu/~perissin/

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.

Overview

Teacher CV

Dr. Vahid Naeimi

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.

Overview

Teacher CV

http://geospatialeng.ut.ac.ir/en/~msaadat

Overview

This tutorial covers a wide range of applications of kernel-based learning methods for different analyses of remote sensing data. In this tutorial, both the basic concepts of the algorithms and their applications will be discussed. Although, using the kernelbased classification algorithms such as support vector machines are very common, but the focus of this tutorial will be on the other applications of the kernel-based algorithms. In details the following topics will be discussed:

1- Theoretical Background
    a. Kernel function and data representation
    b. Kernel characteristics and different types of kernel functions

2- Kernel-based learning methods for remote sensing data classification and regression
    a. Kernel-based supervised classification (Support Vector machines and Support vector domain
       description)
    b. Kernel-based unsupervised classification
    c. Kernel-based regression (support vector regression)

3- Kernel-based learning methods for dimensionally reduction
    a. Kernel-based feature extraction (Kernel- principle component analysis)
    b. Kernel-based feature selection (Hilbert-Schmidt independence criteria)

4- Kernel-based image fusion
    a. Multiple kernel learning for data fusion

5- Practical issues using the kernel-based learning methods
    a. Normalization issues
    b. Role of parameters in the performances of the algorithms
    c. Optimization algorithms for kernel-based learning methods
    d. Introducing available toolboxes for kernel-bases analysis

It is noteworthy that some of these topics such as “kernel-based image fusion” and “kernel-based feature selection” are among the most recent fields in the kernel-based analysis in machine learning community which also have been used by remote sensing researchers.

Overview

This tutorial introduces SITS data and its categorization into multivariate and univariate SITS, which is a novel categorization of this data. In addition, we discuss the characteristics, limitation and the methods used to classify both categories of SITS data. Different representations of SITS data are introduced in this tutorial. In details the following topics will be discussed:

1- Theoretical background
    a. Definition of SITS
    b. Different types of SITS data and their difference
    c. SITS data application

2- Univariate SITS classification
    a. Advantage and disadvantage of univariate SITS data for classification
    b. Challenges of univariate SITS data classification
    c. Different features and representations of Univariate SITS data for classification
    d. Extracting information from trend of univariate SITS for classification

3- Multivariate SITS data classification
    a. Advantage and disadvantage of Multivariate SITS data for classification
    b. Challenges of Multivariate SITS data classification
    c. Different representations of multivariate SITS data for classification

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.

Overview

Overview

- How to apply Web GIS and Mobile GIS into your business and facilitate decision-making process and drive business efficiencies in your organization.
- How Web & Mobile based GIS are transforming the businesses.
- Discover how your business can leverage a hybrid Web & Mobile based GIS solution to uncover actionable insights that drive profitable growth.
- Go in-depth on web mapping and Mobile GIS technologies and learn best practices to obtain an actionable insights to implementing Web GIS and Mobile GIS solutions in your organization.

Overview

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.