ROSA ESA - 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)
RADAR REMOTE SENSING Introduction Training Exercises on Flood and Oil Spill detection and mapping with TSX Imagery Introduction to day 4-5 Presentation of the Trainer Presentation of the Training Concept Presentation of the Training Data and Materials Presentation of the Training Documents Introduction to basic principles in flood and oil spill detection using TerraSAR-X data Hands-On Exercises Folie 2 2
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. Folie 3 3
André Twele DLR, 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, Folie 4 4
Sandro Martinis DLR, 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 Folie 5 5
Training concept Day 4 Thursday, 29th of October 2009 Introduction to the ZKI/DLR Session 1: Flood Detection Principles and Methods Session 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 AFDtool 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 Folie 6 6
Training concept Day 5 Friday, 30th of October 2009 Session 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 Folie 7 7
Training Documentation on DVD Training Data on DVD Folder Structure Demo-Data Infoterra GmbH Presentation of the training section Folie 8 8
Training material and data Subfolder Structure : Demo-Data Infoterra GmbH PDF: Free TSX Data from Infoterra GmbH TSX Data: Hiddensee TSX Data: China TSX Data Mississippi TSX Data: Ruegen TSX Data: India TSX Data: Gibraltar Folie 9 9
Training Data on your Hard disk Folder Structure Data Subfolder FLOOD DETECTION Subfolder OIL SPILL DETECTION Presentations HANDS_ON_TRAINING INTRODUCTION Folie 10 10
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 Folie 11 11
Training material - Example Subfolder Image Data Folie 12 12
Questions Folie 13 13
ESA ROSA DLR Radar Training Thank you for your attention! And have fun with the training Folie 14 14