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A Basic Introduction to Radar Remote Sensing

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Presentation on theme: "A Basic Introduction to Radar Remote Sensing"— Presentation transcript:

1 A Basic Introduction to Radar Remote Sensing
~~~~~~~~~~ Rev. Ronald J. Wasowski, C.S.C. Associate Professor of Environmental Science University of Portland Portland, Oregon 3 November 2015

2 Radar Imaging Wavelengths
Remote sensing wavelength regions and bands Band name Wavelengths Notes Gamma rays < 0.03 nm X-rays 0.03 to 30 nm Ultraviolet (UV) 0.03 to 0.4 mm Photographic UV 0.3 to mm Film Visible 0.4 to mm Small ! Infrared (IR) 0.7 to 100 mm Reflected (RIR) 0.7 to mm Sunlight Thermal (TIR) 3.0 to 14.0 mm ? ! ? ! ? Radio Microwave 0.1 to 100 cm Passive Radar 0.1 to 100 cm Active Radio > 100 cm Passive

3 Radar Imaging System Components
Seven basic system components Pulse generator Generate a signal of specified frequency / wavelength Signal transmitter Amplify and send the outgoing signal Duplexer Two-way switch Alternate between outgoing & incoming radar pulse Radar antenna Broadcast the outgoing pulse & accept the return pulse Receiver Amplify the return pulse amplitude to an acceptable level Recorder Permanent record of the return pulse: Film or digital Image generator Conversion of return pulses into images

4 Radar Imaging System Components

5 Important Radar Terms Two basic types of radar imaging systems
SLAR: Side-Looking Airborne Radar SAR: Synthetic Aperture Radar Azimuth direction Flight direction Look direction Perpendicular to the azimuth direction Range Near range Far range Depression angle Angle below horizontal to any feature of interest 0°: The horizon 90°: Nadir

6 Important Radar Terms Illustrated

7 A Typical Radar Image: Columbia R.

8 Radar Wavelengths & Frequencies
Band Wavelength Frequency Designation (cm) (GHz) K to to 12.5 X to to 8.0 C to to 4.0 S to to 2.0 L 15.0 to to 1.0 P 30.0 to to 0.3

9 Depression & Incidence Angles
Depression angle g Incidence angle Q Horizontal surface: g + Q = 90° Q = 90° – g

10 Depression & Incidence Angles
Depression angle g Incidence angle Q Horizontal surface: g + Q = 90° Q = 90° – g – s s = Slope > 0° : Toward < 0° : Away

11 Range Resolution of Radar Images
Increases from near range to far range

12 Radar Image Azimuth Resolution
Decreases from near- to far-range as beam widens

13 Radar Displacement & Layover
Radar image displacement Pixel placement determined by straight-line distance Near range has more displacement than far range Slope effects Slopes facing toward the radar are smaller than actual Slopes facing away from the radar are larger than actual Brightness effects Slopes facing toward the radar are too bright Slopes facing away from the radar are too dark Radar image layover An extreme form of displacement An object’s top is displaced past its bottom The object’s top is closer than its bottom

14 Radar Image Shadow

15 EMR Polarization

16 Radar Image Polarization
Primary polarization Transmitted signal Horizontal Near range: Electric vector parallel to hor surfaces Far range: Electric vector parallel to hor surfaces Vertical Far range: Electric vector perpendicular to hor surfaces Circular Secondary polarization Returned signal HH: Non-depolarized return HV: Depolarized return Diagonal features VV: Non-depolarized return VH: Depolarized return Diagonal features

17 Radar System Properties
Wavelength Short l’s Many surfaces are rough Insignificant feature penetration Long l’s Few surfaces are rough Significant feature penetration Still not forest cover or even grass cover ! ! ! Depression angle Small g’s Relatively dark signatures Large g’s Relatively bright signatures Polarization Horizontal transmitted: Consistent with terrain Vertical transmitted Inconsistent with terrain

18 Radar Terrain Properties
Dielectric properties Electrical conductivity Dry rock / soil: 3 < Dielectric constant < 8 Dark Water: Dielectric constant = 80 Bright Geometry Micro- geometry: Surface texture = Surf. roughness Smooth Intermediate Rough Macro-geometry: Features parallel or perpendicular Specular reflectors One surface oriented nearly perpendicular to the look direction Two-sided reflectors Two perpendicular surfaces w/join line parallel to flightline Corner reflectors Three perpendicular surfaces open to the incident radar signal

19 A Typical Radar Image: Denver

20 Shuttle Imaging Radar: San Francisco

21 Radar Roughness: Smooth Texture
L-band (23.5 cm) wavelength Radar-smooth surface: 0.0 cm < h < 1.0 cm Specular reflection Total forescatter

22 Radar Roughness: Intermed. Texture
L-band (23.5 cm) wavelength Radar-intermediate surface: 1.0 cm < h < 5.7 cm Composite specular/diffuse scattering Much forescatter

23 Radar Roughness: Rough Texture
L-band (23.5 cm) wavelength Radar-rough surface: 5.7 cm < h Diffuse scattering Uniform in all directions

24 Return Intensity & Depression Angle
A continuum Smooth surface: Approximately specular at nadir Rough surface: Approximately uniform at all g’s

25 Shuttle Imaging Radar: Los Angeles

26 Radar Image Resolution Revisited
Principal determining characteristics SLAR: Side Looking Airborne Radar Real aperture Directly proportional to l Shorter wavelengths are better Rain may interfere Inversely proportional to antenna length Focus beam to preserve far range azimuth resolution Longer antennas are better Flexing may interfere SAR: Synthetic Aperture Radar Shorter wavelengths are better “Fake it” by “synthesizing” a very long antenna Use coherent radar signal “Radar laser” Process Doppler shift data Illuminate each target multiple times Live with image speckle

27 A Typical Radar Image: Ice Floes

28 A Typical Radar Image: Indonesia

29 SIR L & C Radar Bands: Mt. Rainier

30 A Typical Radar Image: Clearcutting

31 Radar Relief Map: Death Valley CA

32 A Typical Radar Image: Taiwan

33 Shuttle Imaging Radar: San Andreas

34 Appalachians of Eastern Pennsylvania

35 Part of the Appalachian Mountains

36 Magellan Radar Mission to Venus


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