2009-10 CEGEG046 / GEOG3051 Principles & Practice of Remote Sensing (PPRS) 8: RADAR 1

1. 2009-10 CEGEG046 / GEOG3051Principles & Practice of Remote Sensing (PPRS) 8: RADAR 1 Dr. Mathias (Mat) Disney UCL Geography Office: 113, Pearson Building Tel: 7670 05921 Email: mdisney@ucl.geog.ac.uk www.geog.ucl.ac.uk/~mdisney

2. OVERVIEW AGENDA • Principles of RADAR, SLAR and SAR • Characteristics of RADAR • SAR interferometry • Applications of SAR • Student summaries

3. LECTURE 1PRINCIPLES AND CHARACTERISTICS OF RADAR, SLAR AND SAR • Examples • Definitions • Principles of RADAR and SAR • Resolution • Frequency • Geometry • Radiometry

4. 9/8/91 ERS-1 (11.25 am), Landsat (10.43 am)

5. The image at the top was acquired through thick cloud cover by the Spaceborne Imaging Radar-C/X-band Synthetic Aperture Radar (SIR-C/X-SAR) aboard the space shuttle Endeavour on April 16, 1994. The image on the bottom is an optical photograph taken by the Endeavour crew under clear conditions during the second flight of SIR-C/X-SAR on October 10, 1994

6. Ice

7. Oil slickGalicia, Spain

8. Nicobar Islands December 2004 tsunami flooding in red

9. Paris

10. Definitions • Radar - an acronym for Radio Detection And Ranging • SLAR – Sideways Looking Airborne Radar • Measures range to scattering targets on the ground, can be used to form a low resolution image. • SAR Synthetic Aperture Radar • Same principle as SLAR, but uses image processing to create high resolution images • IfSAR Interferometric SAR • Generates X, Y, Z from two SAR images using principles of interferometry (phase difference)

11. References • Henderson and Lewis, Principles and Applications of Imaging Radar, John Wiley and Sons • Allan T D (ed) Satellite microwave remote sensing, Ellis Horwood, 1983 • F. Ulaby, R. Moore and A. Fung, Microwave Remote Sensing: Active and Passive (3 vols), 1981, 1982, 1986 • S. Kingsley and S. Quegan, Understanding Radar Systems, SciTech Publishing. • C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar Images, Artech House, 1998. • Woodhouse I H (2000) Tutorial review. Stop, look and listen: auditory perception analogies for radar remote sensing, International Journal of Remote Sensing 21 (15), 2901-2913. • Jensen, J. R. (2000) Remote sensing of the Environment, Chapter 9.

12. Web sites Canada • http://www.ccrs.nrcan.gc.ca/resource/tutor/fundam/chapter3/01_e.php • ftp://ftp2.ccrs.nrcan.gc.ca/ftp/ad/MAS/fundamentals_e.pdf ESA • http://earth.esa.int/applications/data_util/SARDOCS/spaceborne/Radar_Courses/

13. What is RADAR? • Radio Detection and Ranging • Radar is a ranging instrument • (range) distances inferred from time elapsed between transmission of a signal and reception of the returned signal • imaging radars(side-looking) used to acquire images (~10m - 1km) • altimeters (nadir-looking) to derive surface height variations • scatterometers to derive reflectivity as a function of incident angle, illumination direction, polarisation, etc

14. What is RADAR? • A Radar system has three primary functions: - It transmits microwave (radio) signals towards a scene - It receives the portion of the transmitted energy backscattered from the scene - It observes the strength (detection) and the time delay (ranging) of the return signals. • Radar provides its own energy source and, therefore, can operate both day or night. This type of system is known as an active remote sensing system.

15. Principle of RADAR

16. Principle of ranging and imaging

17. Radar Pulse

19. ERS 1 and 2 geometry

20. Radar wavelength • Most remote sensing radars operate at wavelengths between 0.5 cm and 75 cm: X-band: from 2.4 to 3.75 cm (12.5 to 8 GHz). C-band: from 3.75 to 7.5 cm (8 to 4 GHz). S-band: from 7.5 to 15 cm (4 to 2 GHz). L-band: from 15 to 30 cm (2 to 1 GHz). P-band: from 30 to 100 cm (1 to 0.3 GHz). • The capability to penetrate through precipitation or into a surface layer is increased with longer wavelengths. Radars operating at wavelengths > 2 cm are not significantly affected by cloud cover. Rain does become a factor at wavelengths < 4 cm.

22. Comparison of C band and L band SAR C-band L-band

24. Choice of wave length • Radar wavelength should be matched to the size of the surface features that we wish to discriminate • – e.g. Ice discrimination, small features, use X-band • – e.g. Geology mapping, large features, use L-band • – e.g. Foliage penetration, better at low frequencies, use P-band • In general, C-band is a good compromise • New airborne systems combine X and P band to give optimum measurement of vegetation

25. Imaging side-looking accumulates data along path –ground surface “illuminated” parallel and to one side of the flight direction. Data, processing is needed to produce radar images. The across-track dimension is the “range”. Near range edge is closest to nadir; far range edge is farthest from the radar. The along-track dimension is referred to as “azimuth”. Resolution is defined for both the range and azimuth directions. Digital signal processing is used to focus the image and obtain a higher resolution than achieved by conventional radar Synthetic Aperture Radar (SAR)

27. Principle of Synthetic Aperture Radar SAR Doppler frequency due to sensor movement

28. Azimuth resolution: synthetic aperture v  R Target time spent in beam = arc length / v = Ry / v = Rl / vLa

29. Resolution τ

30. Range and azimuth resolution (RAR) Range resolution (across track) Azimuth resolution (along track) S l = R a L L = antenna length S = slant range = height/sin λ = wavelength cos : inverse relationship with angle

31. Resolution of SAR

32. Important point • Resolution cell (i.e. the cell defined by the resolutions in the range and azimuth directions) does NOT mean the same thing as pixel. Pixel sizes need not be the same thing. This is important since (i) the independent elements in the scene are resolutions cells, (ii) neighbouring pixels may exhibit some correlation.

33. Some Spaceborne Systems

34. ERS 1 and 2 Specifications Geometric specifications Spatial resolution:  along track <=30 m  across-track <=26.3 m  Swath width:  102.5 km (telemetered)  80.4 km (full performance)  Swath standoff:  250 km to the right of the satellite track  Localisation accuracy:  along track <=1 km;  across-track <=0.9 km  Incidence angle:  near swath 20.1deg.  mid swath 23deg.  far swath 25.9deg  Incidence angle tolerance:  <=0.5 deg.  Radiometric specifications: Frequency:  5.3 GHz (C-band)  Wave length:  5.6 cm 

35. Speckle • Speckle appears as “noisy” fluctuations in brightness

36. Speckle • Fading and speckle are the inherent “noise-like” processes which degrade image quality in a coherent imaging system. • Local constructive and destructive interference appears in the image as bright and dark speckles, respectively. • Using independent data sets to estimate the same ground patch, by average independent samples, can effectively reduce the effects of speckle. This can be done by: • Multiple-look filtering, separates the maximum synthetic aperture into smaller sub-apertures generating independent looks at target areas based on the angular position of the targets. Therefore, looks are different Doppler frequency bands. • Averaging (incoherently) adjacent pixels. • Reducing these effects enhances radiometric resolution at the expense of spatial resolution.

37. Speckle

38. Speckle • Radar images are formed coherently and therefore inevitably have a “noise-like” appearance • Implies that a single pixel is not representative of the backscattering • “Averaging” needs to be done

39. Multi-looking • Speckle can be suppressed by “averaging” several intensity images • This is often done in SAR processing • Split the synthetic aperture into N separate parts • Suppressing the speckle means decreasing the width of the intensity distribution • We also get a decrease in spatial resolution by the same factor (N) • Note this is in the azimuth direction (because it relies on the motion of the sensor which is in this direction)

40. Speckle

41. Principle of ranging and imaging

42. Geometric effects

43. Shadow

44. Foreshortening

45. Layover

46. Layover

47. LosAngeles

48. Radiometric aspects – the RADAR equation • The brightness of features in an image is usually a combination of several variables. We can group these characteristics into three areas which fundamentally control radar energy/target interactions. They are: • Surface roughness of the target • Radar viewing and surface geometry relationship • Moisture content and electrical properties of the target • http://earth.esa.int/applications/data_util/SARDOCS/spaceborne/Radar_Courses/Radar_Course_III/radar_equation.htm

49. Returned energy • Angle of the surface to the incident radar beam • Strong from facing areas, weak from areas facing away • Physical properties of the sensed surface • Surface roughness • Dielectric constant • Water content of the surface Rough Smooth

50. RoughnessSmooth, intermediate or rough? • Peake and Oliver (XX) – surface height variation h • Smooth: h < /25sin β • Rough: h > /4.4sin β • Intermediate • β is depression angle, so depends on  AND imaging geometry http://rst.gsfc.nasa.gov/Sect8/Sect8_2.html 50