Data & Processing progress in the validation sites Christian Bignami Guido Luzi Urs Wegmuller.

Slides:

Advertisements

Similar presentations

Microwave remote sensing applications and it’s use in Vietnam

Advertisements

4.3.1 GIS 1 GEOGRAPHICAL INFORMATION SYSTEMS (GIS) UPA Package 4, Module 3.

Part One: Introduction and Federal GIS Response.

Remote Sensing of Kelp Dynamics NASA IDS Meeting 6/4/2007.

Spatial Data: Elements, Levels and Types. Spatial Data: What GIS Uses Bigfoot Sightings: Spatial Data.

What is Geography?.

GIS systems in Haiti Shelter focus Shelter Meeting 10a, Geneva May 2010 Einar Bjorgo.

GI Systems and Science January 23, Points to Cover  What is spatial data modeling?  Entity definition  Topology  Spatial data models Raster.

Using GNSS with Background Imagery Resolution vs Precision Presenter Warren Eade GeoSystems NZ Ltd.

Spatial data models (types)

SAR and Optical satellite data for earthquake damage mapping S. Stramondo 1, C. Bignami 1, M. Chini 1, N. Pierdicca 2 1 Istituto Nazionale di Geofisica.

Introduction This SAR Land Applications Tutorial has three main components: Background and theory - an overview of the principles behind SAR remote sensing,

Imaginlabs.com Patent U.S. 8,121,433 B2 California Institute of Technology Monitoring Urban Changes from Digital Surface Models: Generating DSM using Worldview.

Welcome to Mapping Tom Sellsted – City of Yakima, Washington Vladimir Strinski – Hitech Systems.

Space remote sensing for urban damage detection mapping and mitigation Salvatore Stramondo 1, Nazzareno Pierdicca 2, Marco Chini 3, Christian Bignami 1.

Image Registration January 2001 Gaia3D Inc. Sanghee Gaia3D Seminar Material.

LANDSLIDE SUCCEPTABILITY MAPPING (Case study of SRILANKA)

IGARSS 2011 – July, Vancouver, Canada Investigating the seismic cycle in Italy by multitemporal analysis of ALOS, COSMO-SkyMed and ERS/Envisat DInSAR.

1 Analysis of Polarimetric SAR data for Land cover mapping in Mountainous Landscape John Richard Otukei Prof. Dr. Thomas Blaschke (Uni. Salzburg) Prof.

LAND-USE MAPPING USING COARSE RESOLUTION SAR DATA AT THE OBJECT LEVEL EXPLOITING ANCILLARY OPTICAL DATA ALDRIGHI M., GAMBA P. Remote Sensing Team Università.

DETECTION METHOD OF SLOPE FAILURES DUE TO THE 2009 SUMATRA EARTHQUAKE BY USING TERRASAR-X IMAGES Toyohashi University of Technology Makoto KAWAMURA Fukui.

Applied Cartography and Introduction to GIS GEOG 2017 EL Lecture-2 Chapters 3 and 4.

1 Distribution of Earthquake Damage Estimation using Broadband Satellite Communications for Supporting International Rescue Operations Hoang Nam Nguyen.

Earthquake Vulnerability and Exposure Analysis Session 2 Mr. James Daniell Risk Analysis Earthquake Risk Analysis 1.

How do we represent the world in a GIS database?

GISMO Simulation Study Objective Key instrument and geometry parameters Surface and base DEMs Ice mass reflection and refraction modeling Algorithms used.

8. Specifics on Digitizing & Layout tips 1 Week 6 Specifics on Digitizing and More tips on a Layout.

Geographic Information Systems Data Analysis. What is GIS Data ?

Modes of Building Failure Connections between failure modes observed in shake table testing of models in building contest and earthquake damage to actual.

Soil moisture estimates over Niger from satellite sensors (T. Pellarin, M. Zribi)

What is Geography? SOL WG.1a. Geography Geography is the study of the distribution and interaction of physical and human features on the earth’s surface.

The global hydrologic cycle Ground water, surface water, soil moisture, snow pack, glaciers, ocean, atmosphere.

GNS Science Natural Hazards Research Platform Progress in understanding the Canterbury Earthquakes Kelvin Berryman Manager, Natural Hazards Research Platform.

Data Creation and Editing Based in part on notes by Prof. Joseph Ferreira and Michael Flaxman Lulu Xue | Nov. 3, :A Workshop on Geographical.

GEON2 and OpenEarth Framework (OEF) Bradley Wallet School of Geology and Geophysics, University of Oklahoma

Chapter 1, Section 2 The Geographer’s Tools. Globes and Maps 1.As people explored Earth, they collected information about the shapes and sizes of islands,

Maps. Google Earth is a great resource, but is often blocked by school districts because of its size. Google maps and Bing maps share many of the features.

Patent U.S. 8,121,433 B2 California Institute of Technology Providing Environmental Intelligence From Space Your best solution for monitoring.

BOT / GEOG / GEOL 4111 / Field data collection Visiting and characterizing representative sites Used for classification (training data), information.

U.S. Department of the Interior U.S. Geological Survey Afghanistan Natural Resource Assessment and Reconstruction Project Geospatial Infrastructure Development:

International Symposium on Gravity, Geoid and Height Systems GGHS 2012, Venice, Italy 1 GOCE data for local geoid enhancement Matija Herceg Per Knudsen.

0 Riparian Zone Health Project Agriculture and Agri-Food Canada Grant S. Wiseman, BS.c, MSc. World Congress of Agroforestry Nairobi, Kenya August 23-28,

InSAR Processing and Applications

Damage mapping by using object textural parameters of VHR optical data 1 - Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy 2 - University of.

Mapping Technology and Topographic Maps Chapter 1, Lesson 3 and 4.

IGARSS’ July, Vancouver, Canada Subsidence Monitoring Using Polarimetric Persistent Scatterers Interferometry Victor D. Navarro-Sanchez and Juan.

‘FLOCKTON BASIN’ BUILDING IMPACT AND LOSS ESTIMATES FOR THE MARCH 5TH 2014 CHRISTCHURCH FLOOD EVENT R. Paulik 1, G. Smart, J. Bind 1 National Institute.

Integrated spatial data LIDAR Mapping for Coastal Monitoring Dr Alison Matthews Geomatics Manager Environment Agency Geomatics Group.

CEOS DRM Flood Thematic

Salvatore Stramondo Satellite Earth Observation unit

What is Geography?.

Using Photogrammetry to Generate a DEM and Orthophoto

Automatically Collect Ground Control Points from Online Aerial Maps

INTRODUCTION TO GEOGRAPHICAL INFORMATION SYSTEM

Overview of Joint Agency Commercial Imagery Evaluation (JACIE)

Alpine Fault Scenario EQ

California Institute of Technology

Chapter 8: Marketing Market Research.

Objectives Using a time series of data from radar sensors to detect and measure forest changes Combining different types of data, including: Multi polarisations.

Efficient Estimation of Residual Trajectory Deviations from SAR data

Using aerial images for urban planning

WGISS-WGCV Joint Session

GIS and SMS in Numerical Modeling of Open Channel Flow

Test the series for convergence or divergence. {image}

Test the series for convergence or divergence. {image}

What is Geography? SOL WG.1a

Setup Open you should not need to sign-in

What is Geography? SOL WG.1a

Report on Canadian Activities

Statistical 3D Face Modeling

Presentation transcript:

Data & Processing progress in the validation sites Christian Bignami Guido Luzi Urs Wegmuller

Port-au-Prince - Haiti Optical dataset complete: pre-seismic GeoEye images, :34 GMT post-seismic GeoEye image, :26 GMT o Data ortho-rectified with ASTER DEM, and co-registered each other (100 control points, rms about 2m) o Mutual Information, Kullback-Leibler Divergence & Normalised Difference Index derived at city block scale (i.e. with OSM polygons) o Features calculated on a “false” pan channel NDI KLD

SAR dataset completed: TSX images collected and processed, HH pol, StripMap mode -Pre-seismic: & Post-seismic: o Intensity Correlation Difference o KLD done o Geocoded with ASTER DEM to be on the same geometry of optical data Port-au-Prince - Haiti ICD

Ground truth -Building by building survey from aerial and satellite images (JRC data) -From Building by building to Collapse Ratio by means of OSM polygons Port-au-Prince - Haiti

Christchurch, NZ PSI processing completed o Surface velocity and time series derived from ASAR dataset o Time period: to o Dataset delivered to partners PSI coherence reduction product done

Christchurch, NZ Optical dataset NOT complete: Only pre-seismic WorldView image, :15 GMT (partly cloudy) Data still not processed, delivered to the relevant partners Post-image to be ordered via Copernicus Data-Ware House SAR dataset completed: TSX images collected, NOT processed (HH pol, SM) Pre-seismic: , , Post-seismic: , delivered to the relevant partners

Christchurch, NZ Ground truth: Very detailed information about building by building status o data collection by Canterbury Earthquake Recovery Authority (CERA) 217 fields in the database Need to ”transform” information into EMS scale for the project purpose (how to do this???)

Christchurch, NZ Ground truth: Pre-event Building Footprints map (shapefile) available Addition data: -Occurred liquefaction map -Liquefaction hazard map -PGA from accelerometers