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Copernicus Introduction Bucharest, Romania – 7 th & 8 th November 2013. Contents. Introduction GMES  Copernicus Six thematic areas Infrastructure Space data An introduction to Remote Sensing In-situ data Applications Summary & Questions. Introduction. GMES  Copernicus

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Presentation Transcript
contents
Contents
  • Introduction
    • GMES  Copernicus
    • Six thematic areas
  • Infrastructure
    • Space data
      • An introduction to Remote Sensing
    • In-situ data
  • Applications
  • Summary & Questions
introduction
Introduction
  • GMES  Copernicus
    • "By changing the name from GMES to Copernicus we are paying homage to a great European scientist and observer: NicolausCopernicus” – Antonio Tajani, European Commission Vice President
  • Copernicus – Understanding our planet
    • European Programme to collect data and provide information
    • Enhance Safety
    • Contribute to Europe’s strategy for growth and employment
    • Monitor climate change
    • Manage natural resources
      • Air quality
      • Optimise agricultural activities
      • Promote renewable energy
    • Disaster management
    • Emergency management
introduction continued
Introduction continued
  • Six thematic areas
    • Operational:
      • Land monitoring
      • Emergency management
    • Pre-operational:
      • Atmosphere monitoring
      • Marine monitoring
    • Development Phase:
      • Climate change monitoring
      • Security services
  • Copernicus Introduction

GIO Land

remote sensing introduction
Remote Sensing Introduction
  • Active vs Passive remote sensing
  • Resolution
    • Medium-low resolution
      • Land cover monitoring
      • Agriculture
      • Coastal dynamics
      • Weather

MERIS image showing Hurricane Frances passing near Haiti and the Dominican Republic, acquired 1 September 2004

Resolution approximately 1200 metres

Image: Processed by Brockmann Consult for ESA

remote sensing introduction1
Remote Sensing Introduction

Pléiades Satellite Image – Central Park,

New York, May 2012. Image: Astrium, CNES 2012

  • Active vs Passive remote sensing
  • Resolution
    • Very High Resolution (VHR)
      • Urban area monitoring
      • Security applications
remote sensing introduction2
Remote Sensing Introduction
  • Active vs Passive remote sensing
  • Resolution
  • Orbits
    • Near-polar (~90° inclination)
    • Equatorial (0° inclination)
    • Sun-synchronous
    • Geostationary
infrastructure space data
Infrastructure – Space Data
  • Contributing Missions
    • 30 existing or planned
    • 5 categories
      • Synthetic Aperture Radar (SAR)

Sensor transmits a pulse

Satellite receives the backscattered echoes

Returned signals from Earth’s surface are stored

Digital Elevation Models can be constructed

TanDEM-X

slide9
Salt flats of Salar de Uyuni, South America

Image: DLR

Salar de Uyuni,

Image: DLR

infrastructure space data1
Infrastructure – Space Data
  • Optical sensors
    • Passive Remote sensing
    • Sensors detect natural radiation emitted/reflected from the Earth’s surface

RapidEye image of Moscow, Russia

Image: RapidEye

False-colour composite of forest fires in southern France, summer 2003

Image: CNES

SPOT5

Image: CNES

infrastructure space data2
Infrastructure – Space Data
  • Altimetry systems
    • Active sensor using Radar
    • Precise measurements of the satellites height above the ocean by measuring the time and interval between transmission and reception of very short electromagnetic pulses
  • Applications
    • Sea-surface height (ocean topography)
    • Lateral extent of sea ice
    • Altitude of icebergs above sea level
    • Ice sheet topography
    • Land topography
    • Sea-surface wind speeds
    • Wave heights

Measuring the freeboard of ice

Image: ESA

Arctic applications

Cryosat-2

Image: ESA

infrastructure space data3
Infrastructure – Space Data
  • Radiometry
  • Advanced Along-Track Scanning Radiometer (AATSR) – ENVISAT
    • Optical and Infrared sensor
    • Primary mission
      • Sea Surface Temperature
      • Ocean processes
      • Operational applications e.g. meterology
    • Can also be used for:
      • Land Surface Temperature
      • Clouds and Aerosols
      • Cryosphere

AATSR Global sea-surface temperature data map

infrastructure space data4
Infrastructure – Space Data
  • Spectrometry
    • Passive Remote Sensing
    • GOMOS & SCIAMACHY – Envisat
    • GOME – ERS-2
    • No longer operational
    • Medium resolution
    • Atmospheric chemistry
      • Air quality (Ozone)
      • Clouds
      • Trace Gases
  • 2010-2011 changes in atmosphere
sentinels
Sentinels
  • Sentinel-1
    • Radar (SAR) imagery; all-weather, day/night for land and ocean
    • Polar-orbiting pair
    • Coverage
      • Europe and Canada’s main shipping route

every 1-3 days

    • Data
      • Delivery within an hour of acquisition
  • Continue heritage of Envisat and Radarsat
  • Objectives/products
    • Sea-ice extent
    • Sea-ice mapping
    • Oil-spill monitoring
    • Forest, water and soil management
sentinels1
Sentinels
  • Sentinel-2
    • High-resolution optical imagery for land services
    • Visible, NIR, SWIR (comprising 13 spectral bands)
    • Coverage
      • 5-day revisit time
      • Large swath
      • High-spatial resolution
  • To continue heritage of Landsat and SPOT
  • Objectives/products
    • Land-cover maps
    • Land-change maps
    • Chlorophyll index
    • Flood/volcanic eruptions/landslide monitoring
sentinels2
Sentinels
  • Sentinel-3
    • High accuracy, optical, radar and altimetry for marine and land services
    • Radiometer (SLSTR – based on Envisat’s,

AATSR)

    • Ocean and Land Colour Instrument

(OLCI – based on Envisat’s MERIS

    • Dual-frequency Synthetic Aperture Radar

(SRAL – based on CryoSat)

    • <2 day revisit time at equator for OLCI, <1 day for SLSTR
  • To continue heritage of ERS-2 and Envisat
  • Objectives/products
    • Sea-surface topography
    • Sea-/land- surface temperature
    • Ocean-/land- surface colour
    • Environmental and climate monitoring
sentinels3
Sentinels
  • Sentinel-4
    • Payload on Meteosat Third Generation (MTG) for atmospheric composition monitoring
    • Ultraviolet Visible Near-infrared (UVN) spectrometer
    • InfraRed Sounder (IRD)
    • Will include data from other satellites
  • Sentinel-5
    • Payload embarked on a MetOp Second Generation Satellite for atmospheric composition monitoring
    • To bridge gaps between Envisat, Sciamachy instrument and Sentinel-5 launch
  • Objectives/products
    • Atmospheric variables
    • Air quality
    • Solar radiation
    • Climate monitoing
infrastructure in situ data
Infrastructure – In-situ Data
  • Main use of in-situ data is for calibration and validation of satellite data
    • Reduce bias of satellite-derived data
    • Reduce the need for high radiometric calibration
    • Maximise/enhance the effectiveness of satellite data
    • Constrain models (data assimilation)
  • European Environment Agency (EEA) led work for Copernicus under the FP7 GMES In-Situ Coordination “GISC” project (finished October 2013)
gmes in situ coordination gsic
GMES In-situ Coordination – GSIC

Goals:

    • To document the in-situ data required by the services
    • To identify gaps
    • To design an innovative and sustainable framework for open access to in-situ data
  • Monitoring networks currently provide robust integrated information and calibrate and validate the data from satellites
    • Maps
    • Ground-based weather stations
    • Ocean buoys
    • Air quality monitoring networks
slide21
Feedback Forms

&

Questions

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