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…
Language: English
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…
Introduction to SARscape
In this tutorial you can learn how to get started with SARscape, beginning with a brief description and order instructions. You will learn how to…
Introduction to GAMMA
In this tutorial you can learn how to get started with GAMMA, beginning with a brief description and order instructions. You will learn how to…
Introduction to SNAP
In this tutorial you can learn how to get started with SNAP, beginning with a brief description and download instructions. You will learn how to…
Classification
The overall objective of the categorization of all pixels in a (SAR) image into semantically meaningful classes is one of the most conducted processing steps…
Change Detection
Change is a direct consequence of the physical composition of the Earth. The continous course of interconnected cycles causes alterations of the land surface. This…
Data fusion
The concept of data fusion describes the combination of two or more images by means of a certain algorithm. This is done to achieve synergetic…
Object based image analysis
The complete partioning of a remote sensing scene into non-overlapping regions/segments/objects is a strongly developing concept in the field of image interpretation. The lesson on…
DEM generation with MATLAB
SAR interferometry is widely used for the generation of digital elevation models (DEM). The topographic information is derived by exploiting the phase differences of coherent…
Speckle filtering
Speckle is a common phenomenon in SAR data, which has its origin in the radar image acquisition principles. In almost all applications in geosciences speckle…
Texture
Image texture is an important feature in image interpretation in optical as well as radar remote sensing. This lesson gives insights into the concept of…
DEM generation with Python
SAR interferometry is widely used for the generation of digital elevation models (DEM). The topographic information is derived by exploiting the phase differences of the…
Polarimetry
The lesson “PolSAR” deals with the nature of electromagnetic waves and polarization as basic features to describe and analyze objects on the Earth’s surface. Basics…
Radargrammertry
The term “Radargrammetry” describes a group of methods and techniques that analyzes Radar images under consideration of differing viewing angles. Thereby, the benefits of stereoscopic…
Subsidence monitoring (NEST)
In this tutorial you learn how to monitor the behavior of the Earth’s surface due to underground hard coal mining activities with SAR data. The…
SAR Imaging
This is a very important Lesson on the way to understand how a Radar image is detected and how a Radar works! The module “SAR…
Image focusing with Python
Raw Synthetic Aperture Radar (SAR) data in its uncompressed form has to be focused in order to be used for further processing steps, e.g. the…
Image focusing with MATLAB
Raw Synthetic Aperture Radar (SAR) data in its uncompressed form has to be focused in order to be used for further processing steps, e.g. the…
Digital Image Processing
The module “Digital Image Processing Basics” contains a set of slides that might come in handy for teaching and learning the very basics of the…
InSAR Basics
This lessons introduces a vastly used technology called “Radar Interferometry” (InSAR). The presentation procures information about the development of InSAR as an analysis tool in…
InSAR Error Sources
The lesson “InSAR Error Sources” deals with factors that influence the accuracy of the interferometric phase. The vastly used parameter “Interferometric Coherence” is introduced and…
Agriculture
The module “Agricultural Applications with SAR Data” provides information about the potentials and limitations of SAR data for farming activities. Relevant sensor and target parameters…
Snow Cover
The lesson on snow cover shows different approaches to map snow cover extent/snow covered area (SCA) from SAR, e.g. from SAR amplitude imagery and coherence.…