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GEOGG141/GEOG3051 Principles & Practice of Remote Sensing (PPRS) Active Remote Sensing: RADAR I Dr. Mathias (Mat) Disney UCL Geography Office: 113, Pearson.

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Presentation on theme: "GEOGG141/GEOG3051 Principles & Practice of Remote Sensing (PPRS) Active Remote Sensing: RADAR I Dr. Mathias (Mat) Disney UCL Geography Office: 113, Pearson."— Presentation transcript:

1 GEOGG141/GEOG3051 Principles & Practice of Remote Sensing (PPRS) Active Remote Sensing: RADAR I 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 2 OVERVIEW OF NEXT 2 LECTURES Principles of RADAR, SLAR and SAR Characteristics of RADAR SAR interferometry Applications of SAR Summaries

3 3 PRINCIPLES AND CHARACTERISTICS OF RADAR, SLAR AND SAR Examples Definitions Principles of RADAR and SAR Resolution Frequency Geometry Radiometry: the RADAR equation(s)

4 4 References Jensen, J. R. (2000) Remote sensing of the Environment, Chapter 9. Henderson and Lewis, Principles and Applications of Imaging Radar, John Wiley and Sons 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.

5 5 Web resources, tutorials Canada http://www.ccrs.nrcan.gc.ca/resource/tutor/fundam/chapter3/01_e.php http://www.ccrs.nrcan.gc.ca/resource/tutor/fundam/pdf/fundamentals_e.pdf ESA http://earth.esa.int/applications/data_util/SARDOCS/spaceborne/Radar _Courses/http://earth.esa.int/applications/data_util/SARDOCS/spaceborne/Radar _Courses/ Miscellaneous: http://www.radartutorial.eu/index.en.html Infoterra TERRASAR-X http://www.infoterra.de/image-gallery Free data archive: http://www.infoterra.de/terrasar-x-archive/

6 6 9/8/91 ERS-1 (11.25 am), Landsat (10.43 am)

7 7 © Infoterra Gmbh 2009: 12/1/09 1m resolution

8 8 Ice

9 9 Oil slick Galicia, Spain

10 10 Nicobar Islands December 2004 tsunami flooding in red

11 11 Paris

12 12 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)

13 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 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 is an active remote sensing system & can operate day/night

15 15 Principle of RADAR

16 16 Principle of ranging and imaging

17 17

18 18 ERS 1 and 2 geometry

19 19 Radar wavelength Most remote sensing radar wavelengths 0.5-75 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 > 4 cm are not significantly affected by cloud cover

20 20 The Radar Equation Relates characteristics of the radar, the target, and the received signal The geometry of scattering from an isolated radar target (scatterer) is shown. When a power P t is transmitted by an antenna with gain G t, the power per unit solid angle in the direction of the scatterer is P t G t, where the value of G t in that direction is used. READ: http://earth.esa.int/applications/data_util/SARDOCS/spaceborne/Radar_Courses /Radar_Course_III/radar_equation.htm and Jensen Chapter 9

21 21 The Radar Equation The cross-section σ is a function of the directions of the incident wave and the wave toward the receiver, as well as that of the scatterer shape and dielectric properties. f a is absorption A rs is effective area of incident beam received by scatterer G ts is gain of the scatterer in the direction of the receiver Radar equation can be stated in 2 alternate forms: one in terms of the antenna gain G and the other in terms of the antenna area Where: The Radar scattering cross section R = range P = power G = gain of antenna A = area of the antenna Because READ: http://earth.esa.int/applications/data_util/SARDOCS/spaceborne/Radar_Courses/Radar _Course_III/radar_equation.htm and Jensen Chapter 9 http://earth.esa.int/applications/data_util/SARDOCS/spaceborne/Radar_Courses/Radar _Course_III/radar_equation.htm

22 22 Measured quantities Radar cross section [dBm 2 ] Bistatic scattering coefficient [dB] Backscattering coefficient [dB]

23 23 The Radar Equation: Point targets Power received G t is the transmitter gain, A r is the effective area of receiving antenna and  the effective area of the target. Assuming same transmitter and receiver, A/G= 2 /4 

24 24

25 25

26 26 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, but…… In general, C-band is a good compromise New airborne systems combine X and P band to give optimum measurement of vegetation

27 27 Synthetic Aperture Radar (SAR) Imaging side-looking accumulates data along path – ground surface “illuminated” parallel and to one side of the flight direction. Data processing needed to produce radar images. Motion of platform used to synthesise larger antenna 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

28 28

29 29 Principle of Synthetic Aperture Radar SAR Doppler frequency shift f D due to sensor movement As target gets closer http://www.radartutorial.eu/11.coherent/co06.en.html

30 30 Azimuth resolution (along track): RAR Target time in beam = arc length / v = S  /v = S /vL a so resolution = S /L a v S Arc = S  LaLa  = beamwidth = /L a Ψ

31 31 Range resolution (across track): RAR τ i.e. A-B is < PL/2 cannot resolve A & B

32 32 Range and azimuth resolution (RAR) Range resolution (across track) L S R a  L =antenna length S = slant range = height H/sin  λ =wavelength Azimuth resolution (along track) cos : inverse relationship with angle L sinγ H  Pulse length typically 0.4-1  s i.e. 8-200m Short pulse == higher R r BUT lower signal T = pulse length c = speed of light γ = depression angle (deg)

33 33 Azimuth resolution: SAR

34 34 Azimuth resolution (along track): SAR LaLa S RaRa Previously, azimuth resolution R a = S/L = H/Lsin  where H = height So, for synthetic aperture of 2Ra & nominal slant range S (H/sin  ) we see R a, SAR = S/2R a = L/2 So R a, SAR independent of H, and improves (goes down) as L goes down See: http://facility.unavco.org/insar-class/sar_summary.pdf

35 35 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.

36 36 Some Spaceborne Systems

37 37 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

38 ASAR on Envisat (2002-12): –https://earth.esa.int/web/guest/missions/esa-operational-eo-missions/envisat/instruments/asarhttps://earth.esa.int/web/guest/missions/esa-operational-eo-missions/envisat/instruments/asar –C-band, 5 polarisation modes (HH, VV, VV/HH, HV/HH, VH/VV), 100 to 100s m resolution PALSAR on ALOS: (2006-11): –http://www.eorc.jaxa.jp/ALOS/en/about/palsar.htmhttp://www.eorc.jaxa.jp/ALOS/en/about/palsar.htm –L-band SAR 7-100m resolution (various modes) PALSAR on ALOS-II: (2014-): –http://global.jaxa.jp/projects/sat/alos2/http://global.jaxa.jp/projects/sat/alos2/ –L-band SAR 1-3m resolution, and lower in different modes Terrasar-X (2007-), TanDEM-X (2010-): –https://directory.eoportal.org/web/eoportal/satellite-missions/t/terrasar-x#TMM6K135bHerb –X-band missions, high res (0.24-1m) –https://directory.eoportal.org/web/eoportal/satellite-missions/t/tandem-x#launchhttps://directory.eoportal.org/web/eoportal/satellite-missions/t/tandem-x#launch –Add on to Terrasar-X mission, flies few 100m away, single-pass long baseline interfoermotetry for DEM accuracy of ~2m 38 More recent

39 39 ESA Sentinel 1 Launched April 2014 – first of ESA Sentinel program – long-term monitoring for climate and security https://directory.eoportal.org/web/eoportal/satellite-missions/c- missions/copernicus-sentinel-1https://directory.eoportal.org/web/eoportal/satellite-missions/c- missions/copernicus-sentinel-1 http://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Se ntinel-1http://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Se ntinel-1 Various Sentinel missions over next decade (5/6 already built) 2 platform constellation mission (S1a to launch in 2016) C-band SAR to build on ERS-2 heritage 4 modes from 5 x 5 m (80km swath) to 400km swath 5 x 20 m resolution Various interferometric modes

40 40 Speckle Speckle appears as “noisy” fluctuations in brightness

41 41 Speckle Fading / speckle are inherent “noise-like” processes in a coherent imaging system. Speckle = constructive / destructive interference Averaging independent samples can effectively reduce the effects of speckle (~1/sqrt(N)) for N samples Multiple-look filtering –separate maximum synthetic aperture into smaller sub-apertures to generate independent views of target areas based on the angular position of the targets. Looks are different Doppler frequency bands. Averaging (incoherently) adjacent pixels. Either approach –enhances radiometric resolution at the expense of spatial resolution.

42 42 Speckle

43 43 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

44 44 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)

45 45 Speckle

46 46 Principle of ranging and imaging

47 47 Geometric effects

48 48 Shadow

49 49 Foreshortening

50 50 Layover

51 51 Layover

52 52 Radiometric aspects – the RADAR equation The brightness of features is combination of several variables / characteristics –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/R adar_Courses/Radar_Course_III/radar_equation.htm

53 53 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 Smooth Rough

54 54 Roughness Smooth, intermediate or rough? Peake and Oliver (1971) – surface height variation h –Smooth: h < /25sin  –Rough: h > /4.4sin  –Intermediate –  is depression angle, so depends on AND imaging geometry http://rst.gsfc.nasa.gov/Sect8/Sect8_2.html

55 55 Oil slick Galicia, Spain

56 56 Los Angeles

57 57 Response to soil moisture Source: Graham 2001

58 58 Crop moisture SAR image In situ irrigation Source: Graham 2001

59 59 Types of scattering of radar from different surfaces

60 60 Scattering

61 61 Calibration of SAR Emphasis is on radiometric calibration to determine the radar cross section Calibration is done in the field, using test sites with transponders.


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