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    14-Feb-2012
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Radar Course III
43. Texture and image analysis
42. Temporal averaging
12. Synthetic Aperture Radar (SAR)
34. Space, time and processing constraints
15. Slant range / ground range
8. Side-looking radars
19. Shadow
10. Real Aperture Radar: Range resolution
11. Real Aperture Radar: Azimuth resolution
9. Real Aperture Radar (RAR)
7. Radar principles
38. Radar image interpretation
35. The radar equation
36. Parameters affecting radar backscatter
16. Optical vs. microwave image geometry
25. Method
18. Layover
32. Landers Earthquake in South California
23. Introduction
27. Interferogramme of Naples (Italy)
29. Interferogramme and DEM of Gennargentu (Italy)
2. Independence of clouds coverage
40. Image interpretation: Speckle
41. Image interpretation: Speckle filters
39. Image interpretation: Tone
20. Geometric effects for image interpretation
22. Geocoding: Geometry
17. Foreshortening
26. First ERS-1/ERS-2 tandem interferogramme
6. Electromagnetic spectrum
30. Differential interferometry
45. Data reduction: 16 to 8 bit, blockaverage vs incrementing
4. Control of imaging geometry
3. Control of emitted electromagnetic radiation
24. Concept
28. Coherence image of Bonn area (Germany)
44. Classification of ERS-1 SAR images with Neural Networks
37. Bragg scattering
5. Access to different parameters compared to optical systems
13. SAR processing
33. SAR interferometric products
21. SAR image geocoding
14. ERS SAR geometric configuration
31. The Bonn experiment
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Space, time and processing constraints

Space constraint: The interferometer baseline has to satisfy a condition determined by the radar characteristics and the imaging geometry. For ERS-1, the baseline (i.e., the component of the cross-track orbit separation perpendicular to the SAR slant range direction must not be greater than about 600 metres for the practical application of INSAR.

The complete set of ERS-1 restituted orbits that have been processed so far and an INSAR orbit listing has been produced at ESRIN. Using this listing, one can identify those repeated orbit acquisitions for which the orbits satisfy the INSAR baseline criterion.
Time constraint: Ideally, the two SAR images should be acquired simultaneously with a true interferometer. Therefore, in multi-pass INSAR, there should be no changes in surface conditions between the images which could effect the image phase values and lead to anomalous values of the computed terrain height. The effect of surface change is known as temporal de-correlation.

Research teams working with ERS-1 data are reporting good results with generally low values of temporal de-correlation for the 3-day repeat phases. In addition, INSAR has also been successful with ERS-1 data for some areas in the 35-day repeat phase.

Processing constraint: The SAR processor used to generate the imagery from raw satellite data must not introduce artefacts that corrupt the phase quality of the final image.

Currently, SAR processors within the ERS ground segment that have been validated for INSAR applications comprise:
- the Verification Mode Processor (VMP) used for calibration of the instrument,
located at ESRIN;
- the precision processor located at the German PAF, from which users can order off-line SAR image products.

Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry