Wednesday, December 10, 2014

Pleiades-HR


Pleiades-HR (High-Resolution Optical Imaging Constellation of CNES)
Main objectives
      Land planning: detection of small land feature (roads, buildings)
      Land management and crop yield, crop disease
      Defense and homeland security
      Maritime and littoral surveillance          



Satellite name
Pleiades HR
Manufacturer
Astrium Prime/Alcatel
Operator
Centre National d’Etudes Spatiales (CNES)
Sensors
HiRI (High Resolution Imager)
Launch date
HR -1: 17 December 2011
HR -2: 02 December 2012
Launch vehicle
Soyuz STA fregat
Satellite mass
970kg
Design lifetime
5 years
Maximal lifetime
5 years
Orbit
Altitude
695 km
Inclination
98.2 degree
Orbital period
Daily
Characteristics
Sun-synchronous phased near circular
Overpass time
Morning
Repeat coverage
26 Days
Coverage
Global
Sensor
Type
HiRI High Resolution Imager
Manufacturer
Astrium
Sensor type
array scanner
Swath width (FOV)
20km
Pixel size (GIFOV)
2.8 m (multispectral); .7 (panchromatic)
Radiometric resolution
12 bit
Spectral bands

Band Nr
Band Name
Spectral range (nm)
Use of data
Pixel size
1
Blue
4330-550
discriminating soil types


2m

2
Green
490-610
assessing crop disease
3
Red
600-720
used for crop yield
4
NIR
750-950
water stress
Data
Data provider
AirBus Defense and Space
Data distribution
Pléiades 50-cm-resolution products are available at two processing levels, Primary and Ortho. You can order archive or tasked satellite imagery per sq.km.
Data access
http://www.geo-airbusds.com
Data archive
http://www.geo-airbusds.com/en/3027-pleiades-50-cm-resolution-products
Processing levels
Primary and Ortho
Data format
JPEG 2000 (optimized and regular) GeoTIFF (uncompressed)

Publications (27 total)
Cheng-Chien Liu, "Processing of FORMOSAT-2 Daily Revisit Imagery for Site Surveillance," Geoscience and Remote Sensing, IEEE Transactions on , vol.44, no.11, pp.3206,3214, Nov. 2006
doi: 10.1109/TGRS.2006.880625
Discusses improving temporal resolution by using high spational resolution sensors.
Latry, C, C Panem, and P Dejean. leCloud Detection with SVM Technique. N.p., 2007. Print.
Improve cloud notation by creating a cloud detection technology
Lamard, JL et al. No Design of the High Resolution Optical Instrument for the Pleiades HR Earth Observation Satellites. N.p., 2004. Print.
Discusses cost, design, and performance maximization of various European satellites.
Rosak, A et al. “From Spot 5 to Pleiades HR: Evolution of the Instrumental Specifications.” 2004: n. pag. Print.
Discusses the trade-off between high resolution and cost
Lebegue, L et al. PLEIADES-HR IMAGE QUALITY COMMISSIONING FORESEEN METHODS. Toulouse: N.p., 2010. Print.
Discusses the satellites capacities and capabilities.

References
WIKI
http://en.wikipedia.org/wiki/Pleiades_(satellite)
EOportal
https://directory.eoportal.org/web/eoportal/satellite-missions/p/pleiades
Spectral bands
http://www.satpalda.com/product/pleiades/
Data format
http://www.geo-airbusds.com


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