Land Cover Classification

This is an introduction into the classification of land cover and land use from Earth observation data. The presentation includes: The material is valid for…

Introduction to Polarimetric SAR

This presentation is part of a four-part series on the basics on Synthetic Aperture Radar. Learning Objectives: Brief introduction to polarimetry and familiarize students with…

Introduction to SAR Interferometry

This presentation is part of a four-part series on the basics on Synthetic Aperture Radar. Learning Objectives: Brief introduction to polarimetry and familiarize students with…

Basics of SAR

This presentation is part of a four-part series on the basics on Synthetic Aperture Radar. By the end of this presentation, you will be able…

SAR Processing and Data Analysis

This presentation is part of a four-part series on the basics on Synthetic Aperture Radar. Learning Objectives: Understand Sentinel Data Perform image preprocessing Analyze SAR…

SAR Handbook

The SAR Handbook: Comprehensive Methodologies for Forest Monitoring and Biomass Estimation is the culmination of a two-year collaboration between NASA SERVIR and SilvaCarbon. Five trainings,…

SNAP – First Steps

What is SNAP? ESA’s Sentinel Application Platform (SNAP) is a set of toolboxes, developed for the processing and analysis of Earth observation data. This software…

SAR Tomography tutorial

This is an interactive Python tutorial including a Jupyter Notebook. In this tutorial you will learn how to process and analyse tomographic SAR data.

SAR Tomography

The module SAR Tomography introduces the advanced technique of combining multiple radar images from several viewing angles into a new dimension of information. Although tomogoraphic…

Urban Areas

Urban areas are of significant importance to mankind and our environment. This introduction lesson gives an insight on the characteristics of urban areas and their…

Urban Footprints

In this lesson the importance of urban footprint mapping is explained, while various SAR features relevant for mapping these urban footprints are given. Moreover, you…

Urban Land Cover

Advanced knowledge about the importance of urban area mapping and the relevant characteristics of urban areas in SAR data are given in this lesson. Moreover,…

Extraction of Urban Objects

This module will show the importance of extracting certain urban objects, such as buildings, trees or roads. Moreover, the potential of SAR data for urban…

Urban Digital Surface Model

In this lesson the importance of urban DSM mapping is going to be explained. Therefore, relevant SAR features for the generation of these urban DSMs…

Urban – Synergy of Optical and SAR

Synergy between different sensor systems bares the potential for a more holistic analysis for (urban) environments. Advantages and drawbacks of optical remote sensing data and…

Raysar

RaySAR is a 3D synthetic aperture radar (SAR) simulator which enables to generate SAR image layers related to detailed 3D object models. Moreover, it enables…

Mathematics

The module “Mathematics” comprises the mathematical background required for the course material of SAR-EDU. To this end, basic matrix operations are introduced, followed by a…

Time & Frequency

The module “Time and Frequency” includes a summary of different types of Fourier transforms which enable to analyze different types of signals (continuous/discrete, periodic/non-periodic). Different…

Filter & Aliasing

The module “Filter Design & Aliasing” is intended to provide the basic understanding of the design and use of filters in time/space and frequency domain.…

Radar physics

The module “Physics” provides a brief introduction to the physical background related to SAR imaging. First, the distribution of signal wavelengths along the electromagnetic spectrum…

Estimation Theory

The module “Introduction to Estimation Theory” provides basic definitions in estimation theory. Moreover, demonstrative examples are given in the context of remote sensing, e.g. ship…

Detection

The module “Detection” introduces the Bayesian decision rule which enables to test a hypothesis with the result “true” or “false”. In this regard, different types…

Parameter Estimation

The module “Parameter Estimation Basics” offers different strategies for estimating an unknown parameter based on given observations. Besides the estimated value, the quantization of the…

Optimal Linear Estimation

The module “Optimal Linear Estimation” extends the idea of parameter estimation to multiple dimensions. In this context, different ways integrating prior knowledge are introduced, including…