DLR Course 2009 RADAR REMOTE SENSING – Day 4-5

Dr. Jan-Peter Mund, André Twele & Sandro Martinis German Remote Sensing Data Center (DFD)

German Aerospace Center (DLR)

ROSA – ESA - DLR Course 2009RADAR REMOTE SENSING – Day 4-5

Institut für Methodik der Fernerkundung bzw. Deutsches Fernerkundungsdatenzentrum

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Training Exercises on Flood and Oil Spill detection and mapping with TSX Imagery

Introduction to day 4 - 5Presentation of the TrainerPresentation of the Training ConceptPresentation of the Training Data and Materials Presentation of the Training DocumentsIntroduction to basic principles in flood and oil spill detection using TerraSAR-X dataHands-On Exercises

RADAR REMOTE SENSING – Introduction


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Dr. Jan-Peter Mund DLR, Senior Researcher, Capacity Building Coordinator

Short CV:

Dr. Jan-Peter Mund coordinates the international Capacity Building Unit at the Remote Sensing Data Centre (DFD) of the German Aerospace Center (DLR) since 2007.

He holds a Ph.D. (with honours) in natural sciences and a M.Sc. in Geography, Geomatics and Landscape Ecology with key competences in remote sensing, GIS, soil science and agricultural ecology.

He is a part time lecturer at several German Universities for Remote Sensing and GIS applications and tropical landscape ecology. He has established a study course on Land Management and Land Administration supported by the German Technical Cooperation.

He has gained more than 15 years of international experience in earth observation applications and GIS in Europe, Africa, Middle East and South East Asia.

Recently, he is working on several EU, ESA financed scientific collaboration and research projects as well as national projects financed by the German Ministries.


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André TweleDLR, Researcher

Short CV:

CURRENT WORK:

Project Management SAR-HQ - Flood and damage assessment using very high resolution SAR data (particularly TerraSAR-X and Cosmo SkyMed)

Derivation of flood masks from SAR data and establishment of operational workflows for flood analysis

Rapid mapping for crisis events

Various tasks related to the use of TerraSAR-X data for ZKI-activities

ACADEMIC PROFILE

MSc in Geography at the Westfälische Wilhelms-University, Münster, Germany, (minors: Geoinformatics and Public Law)

Academic thesis: "Burned Area Analysis - An Evaluation of Methods for Mapping Fire Extent and Monitoring Regeneration after Forest Fires using Remotely Sensed Data"; Framework: Natural Hazards Project of the IES at the Joint Research Center (JRC) of the European Commission,


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Sandro MartinisDLR, Researcher

Short CV:

CURRENT PROJECT WORK: SAR-HQ Project

Flood and damage assessment using very high resolution SAR data Near-real time detection and hydrological analysis of flood events by the use of high resolution radar satellite data

ACADEMIC PROFILE

Diploma degree (eq. to MSc.) in Physical Geography at the Ludwig-Maximilians-University of Munich, Germany Diploma thesis (MSc.): Derivation of flow dynamics of Skeiðarárjökull outlet, Iceland, by means of Terra ASTER and Envisat ASAR data

RESEARCH TOPICS

Remote Sensing Applications in Hydrology SAR processing Water Mask Generation Object oriented classification


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Training concept

Day 4 – Thursday, 29th of October 2009Introduction to the ZKI/DLR

Session 1: Flood Detection Principles and MethodsSession 2: Flood classification exercises with TerraSAR-X

Exercise 1: Derive a watermask from TerraSAR-X Spotlight data acquired during floods in Namibia 2009 using the AFD-tool

Exercise 2: Derive a watermask from TerraSAR-X Scansar data acquired during floods in Namibia 2009 using the AFD-tool

Exercise 3 (optional): Derive a watermask from TerraSAR-X Spotlight data acquired during floods in Nepal 2008 using the AFD-tool

Exercise 4: Derive the floodmask of the Newport flood event in 2008 by mapping of the water extent during the disaster and at normal water conditions using RaMaFlood


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Training concept

Day 5 – Friday, 30th of October 2009Session 3: Basic principles and methods of oil spill detection using radar data

Session 4: Hands-on Oil spill detection

Exercise 5: Derive the oil spill extent from TerraSAR-X ScanSAR data (21/09/09) over the Australian north-west coast using RaMaOilspill

Exercise 6 (optional): Derive the oil spill extent from TerraSAR-X ScanSAR data (30/08/09) over the Australian north-west coast using RaMaOilspill

Session 5: Definiens Developer Presentation

Session 6: Hands-on Oil spill detection

Exercise 7: Derive the oil spill extent from TerraSAR-X Stripmap (HH/VV) data over the Kerch Strait in November 2007 using Maximum Likelihood Classification in ENVI

Training course summary


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Training Documentation on DVD

Training Data on DVD

Folder Structure

Demo-Data – Infoterra GmbH

Presentation of the training section


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Training material and data

Subfolder Structure : Demo-Data – Infoterra GmbH

PDF: Free TSX Datafrom Infoterra GmbH

TSX Data: Hiddensee

TSX Data: China

TSX Data Mississippi

TSX Data: Ruegen

TSX Data: India

TSX Data: Gibraltar


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Training Data on your Hard disk

Folder Structure

DataSubfolder FLOOD DETECTIONSubfolder OIL SPILL DETECTION

PresentationsHANDS_ON_TRAININGINTRODUCTION


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Training material - Example

Subfolder Structure: \Flood detection\Data\Namibia_SL\dims_op_oc_dfd2_203861630_1\TSX-1.SAR.L1B\

Subfolder

Annotation

Aux Raster

Image Data

Preview

Support

XML File


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Training material - Example

Subfolder Image Data


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Questions


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ESA – ROSA – DLR Radar Training

Thank you foryour attention !

And have fun with the training