Session 2: Use of Radar imageries for MRV...Session 2: Use of Radar imageries for MRV 1 SBB –...
Transcript of Session 2: Use of Radar imageries for MRV...Session 2: Use of Radar imageries for MRV 1 SBB –...
SBB – 27-28th feb 2014 ONF International Page
Session 2: Use of Radar imageries for MRV
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SBB – 27-28th Feb 2014 ONF International Page
What is a SAR (radar) data
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Radar characteristics
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Réflexion spéculaire Diffusion
Coin réflecteur Réflexion dans un volume
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How does it look like?
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Surface Scattering
Lake
Volume Scattering
Forestry
Double Bounce
House
ERS-1 SAR (C-band) sample (ca. 17 km x 10 km)
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Radar characteristics
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HV polarization
Polarimetry : H, V
HH, HV, VH, VV
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Radar characteristics
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Polarimetry : H, V
HH, HV, VH, VV
HV HH Original data provide by JAXA
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Radar characteristics
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Wavelenght
X, C, L, P bands
1 cm
5 cm
23 cm
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Sensors examples
X band : TerraSarX, TandemX, CosmoSkyMed
L band : ALOS PALSAR
C band : ENVISAT ASAR, SENTINEL 1
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How get radar data?
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ESA catalog:
• ERS-1 SAR, et ATSR
• ERS-2 SAR, et ATSR
• JERS-1 SAR, et VNIR de 1993 a 1998
• ENVISAT ASAR
• ENVISAT MERIS
• ENVISAT AATSR
Download sites:
http://earth.esa.int/descw/
et
http://odisseo.esrin.esa.it/welcome.html
ALOS PALSAR DATA (free but restricted use) http://eorc.jaxa.jp/ALOS/
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Processing
Need training to understand the basics
Homogeneous data, the process is computing once on the whole data, can be reproduced over time
No sensitive to clouds
After pre-processing (calibration, filtering,…) the classification process is the same as for optical data (pixel based or segmentation processing)
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Preprocessing
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ENVISAT ASAR image
Las Vegas - 2003
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Application - Interpretation
Sensitivity to water
Flooded forest, swamp forest…
Possible to extract deciduous forest
Degradation : Research on texture analysis with X band
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Original data provide by JAXA
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Application - Mapping of forest damages
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Switzerland AeS-1 SAR (C band)
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Application – Illegal logging
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Application - Biomasse
Direct biomasse map (CESBIO)
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Application - Forest burnt area extent
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1995
1994
1993
1989
1987
1984
1981
Saskatchewan - Canada ERS SAR data
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Application – DEM generation
In tropical region long wavelengh is needed (P)
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Tools
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• DIAPASON http://www.altamira-information.com
• Earthview http://www.pcigeomatics.com/products/atlantis.html
• GAMMA http://www.gamma-rs.ch
• InfoPACK http://www.infosar.co.uk
• PulSAR http://www.phoenixsystems.co.uk
• SARscape http://www.sarmap.ch
• Vexcel http://www.vexcel.com
• Basic Envisat SAR Toolbox http://envisat.esa.int/services/best/
• DORIS http://www.geo.tudelft.nl/fmr/research/insar/
• EnviView http://envisat.esa.int/services/enviview/
• ERS SAR Toolbox http://earth.esa.int/STBX/
• UNESCO-Bilko http://www.unesco.bilko.org/
• PolSARPro
• QGIS
free softwares
Proprietary softwares
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SAR data - Pros and cons
Pros
Short processing time
No sensitive to clouds
Homogeneous data
Global coverage (e.g. PALSAR)
Process on large dataset
Cons
Sensitive to relief
Training session needed
Difficult to interpret (no use for validation)
No historical data
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