June 2011. TerraSAR-X-based Flood Mapping Service



Similar documents
TerraSAR-X Applications Guide

Operational Space- Based Crop Mapping Protocols at AAFC A. Davidson, H. McNairn and T. Fisette.

German Earth Observation Systems and Programs Capacities for nation building

Current Status and Considerations for the Future. Harald Mehl & Stefan Voigt German Aerospace Center (DLR)

How To Write A Call To Action For Terrasar-X

3D Model of the City Using LiDAR and Visualization of Flood in Three-Dimension

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

The needs on big data management for Operational Geo-Info Services: Emergency Response, Maritime surveillance, Agriculture Management

TerraSAR-X Image Product Guide. Basic and Enhanced Radar Satellite Imagery. Airbus Defence and Space Geo-Intelligence Programme Line

Raster to Vector Conversion for Overlay Analysis

LEOworks - a freeware to teach Remote Sensing in Schools

Adaptation of High Resolution Ikonos Images to Googleearth for Zonguldak Test Field

SARscape 4.3 Supported Sensors/Products (March 2011) - Spaceborne Sensors -

Data Processing Developments at DFD/DLR. Stefanie Holzwarth Martin Bachmann, Rudolf Richter, Martin Habermeyer, Derek Rogge

Aneeqa Syed [Hatfield Consultants] Vancouver GIS Users Group Meeting December 8, 2010

High Resolution 3D Earth Observation Data Analysis for Safeguards Activities

Imagery. 1:50,000 Basemap Generation From Satellite. 1 Introduction. 2 Input Data

Comparison of ALOS-PALSAR and TerraSAR-X Data in terms of Detecting Settlements First Results

Digital Remote Sensing Data Processing Digital Remote Sensing Data Processing and Analysis: An Introduction and Analysis: An Introduction

TerraSAR-X capabilities and constrains for acquisitions over the polar regions. Dana Floricioiu

Environmental Remote Sensing GEOG 2021

Structural Health Monitoring Tools (SHMTools)

Data and Information Management for EO Data Centers. Eberhard Mikusch German Aerospace Center - German Remote Sensing Data Center

TerraSAR-X Interferometry. Michael Eineder, Nico Adam Remote Sensing Technology Institute

How To Use Inspire For Eo Data Processing

Monitoring a Changing Environment with Synthetic Aperture Radar. Alaska Satellite Facility National Park Service Don Atwood

A PHOTOGRAMMETRIC APPRAOCH FOR AUTOMATIC TRAFFIC ASSESSMENT USING CONVENTIONAL CCTV CAMERA

Big Data Analytics for Detailed Urban Mapping. Mihai Datcu Daniela Molina Espinoza, Octavian Dumitru, Gottfried Schwarz

Near Real Time Flood Mapping & Monitoring

The RapidEye optical satellite family for high resolution imagery

The DLR Multi Mission EO Ground Segment

EO Information Services in support of Satellite Tools for Building Flood Defence Systems in Guyana

Cluster Applied Remote Sensing TerraSAR-X Ground Segment Basic Product Specification Document. Ground Segment. Basic Product Specif ication Document

PI: Riccardo Lanari (IREA CNR)

Machine Learning: Overview

Improve your equity research productivity

The following was presented at DMT 14 (June 1-4, 2014, Newark, DE).

COMPARISON OF OBJECT BASED AND PIXEL BASED CLASSIFICATION OF HIGH RESOLUTION SATELLITE IMAGES USING ARTIFICIAL NEURAL NETWORKS

Real Time Services for Space Applications Holger Maass, Susanne Lehner

Reading Questions. Lo and Yeung, 2007: Schuurman, 2004: Chapter What distinguishes data from information? How are data represented?

POTENTIALS OF HIGH RESOLUTION TERRASAR-X IMAGES IN INSAR PROCESSING

TerraAmazon - The Amazon Deforestation Monitoring System - Karine Reis Ferreira

Information Contents of High Resolution Satellite Images

FreeForm Designer. Phone: Fax: POB 8792, Natanya, Israel Document2

GEOSPATIAL DIGITAL ASSET MANAGEMENT A SOLUTION INTEGRATING IMAGERY AND GIS WHERE WILL ALL THE PIXELS GO?(AND HOW WILL WE EVER FIND THEM?

Satellites for Terrain Motion Mapping Terrafirma User Workshop Mining. Nico Adam

Land Use/ Land Cover Mapping Initiative for Kansas and the Kansas River Watershed

Infoterra TanDEM-X Science Meeting Commercial Exploitation

ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY.

VCS REDD Methodology Module. Methods for monitoring forest cover changes in REDD project activities

DEM products from TerraSAR-X & TanDEM-X. Nora Meyer zu Erpen //

DEVELOPMENT OF A SUPERVISED SOFTWARE TOOL FOR AUTOMATED DETERMINATION OF OPTIMAL SEGMENTATION PARAMETERS FOR ECOGNITION

New Features in TerraPhoto. Arttu Soininen Software developer Terrasolid Ltd

Information Technology Systems (2012)

Blender addons ESRI Shapefile import/export and georeferenced raster import

Mapping Solar Energy Potential Through LiDAR Feature Extraction

OCAD smart for cartography A niche product towards a professional cartographic. software

ENVI Services Engine: Scientific Data Analysis and Image Processing for the Cloud

REGIONAL CENTRE FOR TRAINING IN AEROSPACE SURVEYS (RECTAS) MASTER IN GEOINFORMATION PRODUCTION AND MANAGEMENT

A GIS helps you answer questions and solve problems by looking at your data in a way that is quickly understood and easily shared.

Introduction to Computer Graphics

Cartographic and Geospatial Materials

Supervised Classification workflow in ENVI 4.8 using WorldView-2 imagery

Adobe Certified Expert Program

Map World Forum Hyderabad, India Introduction: High and very high resolution space images: GIS Development

KIP 3000 Series MULTIFUNCTION SIMPLICITY

Samples of Management Consulting Assignments. Performed by DCAG are. Provided in the following pages.

Cloud-based Geospatial Data services and analysis

Geospatial Software Solutions for the Environment and Natural Resources

Advantages and limitations of using satellite images for flood mapping

Vulnerability assessment of ecosystem services for climate change impacts and adaptation (VACCIA)

Copyright Soleran, Inc. esalestrack On-Demand CRM. Trademarks and all rights reserved. esalestrack is a Soleran product Privacy Statement

Graphic Design for Beginners

VECTORAL IMAGING THE NEW DIRECTION IN AUTOMATED OPTICAL INSPECTION

technical notes trimble realworks software

UPDATING OBJECT FOR GIS DATABASE INFORMATION USING HIGH RESOLUTION SATELLITE IMAGES: A CASE STUDY ZONGULDAK

Keystone Image Management System

LCCS & GeoVIS for land cover mapping. Experience Sharing of an Exercise

Automatic land-cover map production of agricultural areas using supervised classification of SPOT4(Take5) and Landsat-8 image time series.

Trimble Realworks Software

Introduction to GIS (Basics, Data, Analysis) & Case Studies. 13 th May Content. What is GIS?

Managing Lidar (and other point cloud) Data. Lindsay Weitz Cody Benkelman

Extract from NCTech Application Notes & Case Studies Download the complete booklet from nctechimaging.com/technotes

DATA QUALITY IN GIS TERMINOLGY GIS11

ARIZONA CTE CAREER PREPARATION STANDARDS & MEASUREMENT CRITERIA. Graphic/Web Design

An Esri White Paper August 2010 Product Library in Esri Aeronautical Solution: Enabling Seamless Product, Data, and Document Management

An Assessment of the Effectiveness of Segmentation Methods on Classification Performance

Transcription:

June 2011 TerraSAR-X-based Flood Mapping Service

Service TerraSAR-X-based Flood Mapping Product Flood extent map Product specifications Flood mask / water mask Input / output data Summary Content Date - 2

Flood Mapping Service Rapid assessment of flooded areas assessment is essential in case of emergency Weather independent data acquisition such as via TerraSAR-X is a crucial benefit especially for floods (cloud coverage) Within 48 hours after data acquisition ASV GEO is able to provide accurate mapping & cartography of the flood extent Derived from current TerraSAR-X data the Flood Maps depict the extent of a flooding including distinction between flooded and probably flooded areas In addition, pre-event / reference data (TerraSAR-X or optical) are used to separate flooded areas from permanent water bodies The final product per TerraSAR-X scene is a water / flood mask in raster and/or vector format Date - 3

Flood Extent Maps TerraSAR-X-based Flood Extent Maps are high resolution products depicting the extent of a flooding event ASV GEO delivers two different Flood Extent Map products: Flood mask (Bi-temporal water mask) Water mask (Mono-temporal water mask) Differences: Consideration of two and one date(s), respectively Selected orbit for data acquisition (flood rapid; water predicted) Date - 4

Flood Mapping Products Flood maps Documentation of flood extent at different dates (monitoring possible) Water / flood mask(s) + cartography Water masks - rapid Delineation of water extent for an emergency event Image delivery and position accuracy according to Rapid Orbit acquisition Water masks Delineation of the water extent at a given date Image delivery and position accuracy according to Predicted Orbit acquisition All deliveries consist of: Water / flood mask as vector file (shape format) Ready to print map (tif, pdf) Option: TerraSAR-X image as raster data (tif, img)

Date - 6 Product example

Date - 7 Product example

Date - 8 Product Specifications Flood Mask vs. Water Mask

Product Specifications / Input Data Water Mask Flood Mask Input data Temporal resolution Mono-temporal Bi-temporal Sensor TerraSAR-X (or TanDEM-X) Product Orbit Rapid (1-3 day delivery time, +/- 0.2m possible location error) EEC-RE Rapid Predicted (0-12 h data delivery time, +/- 700m possible location error) [Near Real Time delivery option] Mode SL, SM, SC Ancillary data SRTM DEM or other SRTM DEM or other Reference data Permanent water body shape (optional) Date - 9

Product Specifications / Output Data Water Mask Flood Mask Resolution Temporal Bi- Mono- Geometric Depending on TerraSAR-X imaging mode Up to 1m (Spotlight), up to 3m (StripMap) up to 18m (ScanSAR) MMU Depending on TerraSAR-X imaging mode 0,1ha (SpotLight) 0,25ha (StripMap) 5ha (ScanSAR) MMW 40 m Delivery Content/format TerraSAR-X data (if requested) tif, img Flood Mask as vector file shp Map Tif, pdf Date - 10

Methodology - Description Semi-automatic generation of mono- or bitemporal water mask vector data sets by means of combination of object- and pixel-based classifications with subsequent automated change detection process in the case of bi-temporal water masks Final visual improvement of classification result close the workflow Date - 11

Methodology Workflow (1/2) Pre-event data (TS-X archive, multi-mission) Post-event data (TS-X) Segmentation Semi-automated Classification Water detection Semi-automated Classification Water detection Automated refinement Final water masks extraction Date - 12 Regular water extent Flood extent

Methodology Workflow (2/2) Calculation of segmentation parameters and segmentation: Automated procedure MMU Smoothness Automated refinements: Minimum Mapping Unit filter Smoothness of boundaries Classified scene Library workflow with user interaction QA no Manual editing yes User set value Export FLOOD SHAPE Date - 13

Summary Flood mapping service is based on and optimised for the use of TerraSAR-X data Service addresses pre- (permanent water) and postevent (flood) situations as well as monitoring purposes (e.g. in case of flood events over a longer period of time) Delivery of flood extent maps is possible within 48 hours after data acquisition Product delivery is according to general standards or customizable to specific requirements Date - 14

Thank you for your attention! Dr Marc Mueller marc.mueller@astrium.eads.net Project Manager Risk & Crisis Service GMES & European Institutions BA4 Product Manager Disaster Management (acting) Product Management BA3 Development Line Coordination Disaster Management Development & Engineering BA3 Date - 15

Date - 16 Product example

Date - 17 Product example