7 th SMOS Workshop, Frascati, 29-31 October 2007 1/17 AMIRAS campaign Fernando Martin-Porqueras.
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Transcript of 7 th SMOS Workshop, Frascati, 29-31 October 2007 1/17 AMIRAS campaign Fernando Martin-Porqueras.
2/177th SMOS Workshop, Frascati, 29-31 October 2007
Contents
• AMIRAS instrument and campaign
• L1 Processor
• Description of L1A, L1B and L1C processors
• Performances
• Examples
• Data format and availability
3/177th SMOS Workshop, Frascati, 29-31 October 2007
AMIRAS instrument
• Small MIRAS instrument
• Y-shape
• 13 antennas:
4 LICEF per arm 1 NIR in the centre
• Angular resolution: 11.8 degrees• Spatial resolution: 84 metres
(altitude = 400 m)
• PMS of receiver B1 has to be repaired
5/177th SMOS Workshop, Frascati, 29-31 October 2007
• Location: Lahti, Finland• Dates: June 20th, 2006 (Flight1) – night• Acquired data: Measurements over land, sea
and fresh water (Lake Lohja)
Duration: 1 hour 39 minOperation mode: Dual polarization
AMIRAS Campaign – Flight 1
6/177th SMOS Workshop, Frascati, 29-31 October 2007
• Location: Lahti, Finland• Dates: July 19th, 2006 (Flight2) - night• Acquired data: Measurements over land, sea
and fresh water (Lake Lohja)
AMIRAS Campaign – Flight 2
Duration: 2 hours 24 minOperation mode: Dual polarization Full polarization
Full polarization
7/177th SMOS Workshop, Frascati, 29-31 October 2007
AMIRAS L1 Processor
Snapshot LayerInst
rum
ent
Cha
ract
eriz
atio
nda
taba
se
Libr
arie
s
L1B processor
L1C processor
L1C product
Visibility Layer
L1A processor
Correlation layer
Database reader
Raw data
8/177th SMOS Workshop, Frascati, 29-31 October 2007
L1A processor
Scope: The computation of the denormalized visibilities
Processing: Calibration algorithms are based on the SMOS In-Orbit Calibration documentation
Input: Correlations, physical temperatures, PMS voltages, NIR output, instrument characterization database
Output: Denormalized visibilities
Differences with SMOS: • Variable integration time (0.3 – 1.2 s)• Centralized calibration• Calibration based on internal load, cold sky and lake
9/177th SMOS Workshop, Frascati, 29-31 October 2007
L1B processor
Scope: The computation of the brightness temperature at the antenna polarization frame
Processing:
Input: Denormalized visibilities, instrument characterization database
Output: Brightness temperature snapshots
Inversion algorithm: Inverse FFT (Blackman windowing)
Flat Target TransformationAntenna pattern correction
10/177th SMOS Workshop, Frascati, 29-31 October 2007
L1B processor
The processor implements the Flat Target Transformation (FTT)
The FTT minimizes the impact of the antenna errors in the brightness temperature snapshots
Location: Lahti
Date: 19:43 UTC 20/07/2006
Orientation: Azimuth 180 deg Elevation 76.5 deg
11/177th SMOS Workshop, Frascati, 29-31 October 2007
L1C processor
Scope: The geolocation of the brightness temperatures over a fixed grid (UTM) on the surface and the computation of the polarization rotation angles
Input: Brightness temperature snapshots, flight database
Output: Brightness temperature geolocated, incidence and polarization rotation angles
Differences with SMOS: • No pixel-flagging• Only AF-FOV
Processing: Polarization rotation angle computation Geolocation using navigation information Incidence angle computation
Vel
ocity
12/177th SMOS Workshop, Frascati, 29-31 October 2007
Radiometric Performances
Radiometric performances estimated from L1B data
Data used: 51 snapshots over the sea
Assumptions: Constant flight dynamics along the dataset Unpolarized sea surface at 3 deg incidence angle Homogeneous sea surface
Radiometric variability at boresight
Radiometric accuracy
= 1.5 K (1-sigma, 300 ms)
= 2 K
Equivalent radiometric variability in 1.2 sec = 0.75 K (1-sigma)
13/177th SMOS Workshop, Frascati, 29-31 October 2007
Examples
X polarizationY polarization
Vel
ocity
14/177th SMOS Workshop, Frascati, 29-31 October 2007
ExamplesV
- p
olar
izat
ion
H -
pol
ariz
atio
n
Vel
ocity
Vel
ocity
15/177th SMOS Workshop, Frascati, 29-31 October 2007
L1C product content
Planned data content:
• Time
• Position in UTM coordinates
• Incidence angle
• Brightness temperatures in the antenna polarization frame (X-Y)
• Polarization rotation angle between the antenna polarization and ground polarization frame
Each UTM coordinate has different incidence angle availability
xutm
yutm
Amount of data
Velocit
y
16/177th SMOS Workshop, Frascati, 29-31 October 2007
Data availability
• Release date: Christmas 2007
• Distribution method: FTP
• Released data: L1C product from AMIRAS Flight1
• Format: ASCII (data structure still on definition)