an introduction to radar and lidar remote sensing

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An Introduction to Radar and Lidar Remote Sensing Credit to: Weile Wang Gustav Klimt (1862-1918), Der Park With materials from Drs. Jeff Dozier (UCSB), Howard Zebker (Stanford), Jacob van Zyl (JPL), Alan Strahler (Boston U.), Ralph Dubayah (U. Maryland), Michael Lefsky (U. Colorado), Guoqing Sun (U. Maryland), and many others.

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An Introduction to Radar and Lidar Remote Sensing. Credit to: Weile Wang. With materials from Drs. Jeff Dozier (UCSB), Howard Zebker (Stanford), Jacob van Zyl (JPL), Alan Strahler (Boston U.), Ralph Dubayah (U. Maryland), Michael Lefsky (U. Colorado), Guoqing Sun (U. Maryland), and many others. - PowerPoint PPT Presentation

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Page 1: An Introduction to Radar and Lidar Remote Sensing

An Introduction to Radar and Lidar Remote Sensing

Credit to: Weile Wang

Gustav Klimt (1862-1918), Der Park

With materials from Drs. Jeff Dozier (UCSB), Howard Zebker (Stanford), Jacob van Zyl (JPL), Alan Strahler (Boston U.), Ralph Dubayah (U. Maryland), Michael Lefsky (U. Colorado), Guoqing Sun (U. Maryland), and many others.

Page 2: An Introduction to Radar and Lidar Remote Sensing

Radar Basics, PPI, SLAR, SAR, InSAR; Radar Equation, Imaging Geometry, Geometric Distortion,

Speckle, Polarization, Interferometry; Lidar, Waveform, Footprint, Forest Structure Measurement; SRTM, LVIS, SMAP, GRACE, DESDynI, and Echidna.

Outline

Page 3: An Introduction to Radar and Lidar Remote Sensing

Active and passive remote sensing

• Passive: uses natural energy, either reflected sunlight or emitted thermal or microwave radiation

• Active: sensor creates its own energy– Transmitted toward Earth– Interacts with atmosphere and/or surface– Reflects back toward sensor (backscatter)

Page 4: An Introduction to Radar and Lidar Remote Sensing

Common active remote sensing systems

• Radar (RAdio Detection And Ranging)– long-wavelength microwaves (1-100cm)– recording the amount of energy back-scattered from the terrain

• Lidar (LIght Detection And Ranging)– short-wavelength laser light (e.g., 0.90 µm)– recording the light back-scattered from the terrain or atmosphere

• Sonar (SOund Navigation And Ranging)– sound waves through a water column– recording the amount of energy back-scattered from the water

column or the bottom

Page 5: An Introduction to Radar and Lidar Remote Sensing

8 -1

Frequency

where speed of light

=

Useful

3.00

tric

10 m s

30GHzcm

k

c

c

Microwave Bands

Page 6: An Introduction to Radar and Lidar Remote Sensing

What is Radar?

TRANSMITTER

RECEIVER

CIRCULATOR

RADAR PULSE

"TARGET"

• RADAR = Radio Detection And Ranging• Since radar pulses propagate at the speed of light, the difference to the “target”

is proportional to the time it takes between the transmit event and reception of the radar echo

Page 7: An Introduction to Radar and Lidar Remote Sensing

Ranging: Distance Measurement

??

c = speed of light

= 3.00 × 108 m/s

Page 8: An Introduction to Radar and Lidar Remote Sensing

Mapping Multiple Objects: PPI Radar Display

PPI=Plan Position Indicator

Page 9: An Introduction to Radar and Lidar Remote Sensing

The Radar Equation (1)

• Gt is the “Antenna Gain”;

• σ is the “cross section” of the target.

Page 10: An Introduction to Radar and Lidar Remote Sensing

The radar equation (2)• The radar equation represents the physical dependences of

the transmit power, that is the wave propagation up to the receiving of the echo-signals. The power PE returning to the receiving antenna is given by the radar equation, depending on the transmitted power Pt, the slant range R, and the reflecting characteristics of the aim (described as the radar cross-section σ). At known sensibility of the radar receiver the radar equation determines the achieved by a given radar set theoretically maximum range. Furthermore one can assess the performance of the radar set with the radar equation.

• Suggest reading: http://www.radartutorial.eu/01.basics/rb13.en.html

Page 11: An Introduction to Radar and Lidar Remote Sensing

The radar equation (3)

• antenna gain: Since a spherical segment emits equal radiation in all direction (at constant transmit power), if the power radiated is redistributed to provide more radiation in one direction, then this results an increase of the power density in direction of the radiation. This effect is called antenna gain.

Page 12: An Introduction to Radar and Lidar Remote Sensing

Imaging Radar: Side-Looking Airborne Radar

Page 13: An Introduction to Radar and Lidar Remote Sensing

Imaging Geometry

azimuth refers to the along-track dimension parallel to the flight direction.Swath width refers to the strip of the Earth’s surface from which data are collected by

a side-looking airborne radar (SLAR)

Page 14: An Introduction to Radar and Lidar Remote Sensing

Forming an image

Page 15: An Introduction to Radar and Lidar Remote Sensing

Radar Reflections from Flat Ground

• The Earth plane surrounding a radar antenna has a significant impact on the vertical polar diagram. The combination of the direct and re-reflected ground echo changes the transmitting and receiving patterns of the antenna.

Page 16: An Introduction to Radar and Lidar Remote Sensing

Nomenclature• nadir• azimuth flight direction• look direction• range (near and far)• depression angle (γ)• incidence angle (θ)• altitude above-ground-

level, H• polarization

Page 17: An Introduction to Radar and Lidar Remote Sensing

Radar geometry

Page 18: An Introduction to Radar and Lidar Remote Sensing

Range resolution

pulse length speed of light

2cos 2cos depression anglercR

Calculate Rr

Page 19: An Introduction to Radar and Lidar Remote Sensing

Side-looking airborne radar (SLAR)

H is the height of the antenna,   (height of the airplane)L is the geometric length of the antenna,λ is the wavelength of the transmitted pulses, andθ is the incidence angle(1) L · cos θ

cos

L

HRa

Page 20: An Introduction to Radar and Lidar Remote Sensing

Azimuth resolution

slant range wavelengthantenna length

aSR

L

Question:

Why is wavelength important in determining Ra?

Page 21: An Introduction to Radar and Lidar Remote Sensing

• The equation shows, that with increasing altitude decreases the azimuthal resolution of SLAR. A very long antenna (i.e., large L) would be required to achieve a good resolution from a satellite. Synthetic Aperture Radar (SAR) is used to acquire higher resolution.

Page 22: An Introduction to Radar and Lidar Remote Sensing

• For an SLAR with the following characteristics:λ = 1 cm,L = 3 m,H = 6000 m,θ = 60°, andtp = 100 ns,has got a resolution ofRa = ??? andRr = ??? m

• Note: The same SLAR on a platform in a height of 600 km would achieve an azimuth-resolution of Ra = ???.

Page 23: An Introduction to Radar and Lidar Remote Sensing

Synthetic aperture radar (SAR)

Page 24: An Introduction to Radar and Lidar Remote Sensing

• A Synthetic Aperture Radar (SAR), or SAR, is a coherent mostly airborne or spaceborne sidelooking radar system which utilizes the flight path of the platform to simulate an extremely large antenna or aperture electronically, and that generates high-resolution remote sensing imagery.

• Read http://www.radartutorial.eu/20.airborne/ab07.en.html

Page 25: An Introduction to Radar and Lidar Remote Sensing

• The SAR works similar of a phased array, but contrary of

a large number of the parallel antenna elements of a phased array, SAR uses one antenna in time-multiplex. The different geometric positions of the antenna elements are result of the moving platform now.

• The SAR-processor stores all the radar returned signals, as amplitudes and phases, for the time period T from position A to D. Now it is possible to reconstruct the signal which would have been obtained by an antenna of length v · T, where v is the platform speed. As the line of sight direction changes along the radar platform trajectory, a synthetic aperture is produced by signal processing that has the effect of lengthening the antenna. Making T large makes the „synthetic aperture” large and hence a higher resolution can be achieved.

• As a target (like a ship) first enters the radar beam, the backscattered echoes from each transmitted pulse begin to be recorded. As the platform continues to move forward, all echoes from the target for each pulse are recorded during the entire time that the target is within the beam. The point at which the target leaves the view of the radar beam some time later, determines the length of the simulated or synthesized antenna. The synthesized expanding beamwidth, combined with the increased time a target is within the beam as ground range increases, balance each other, such that the resolution remains constant across the entire swath.

• The achievable azimuth resolution of a SAR is approximately equal to one-half the length of the actual (real) antenna and does not depend on platform altitude (distance).

Page 26: An Introduction to Radar and Lidar Remote Sensing

Radar Image Elements

Page 27: An Introduction to Radar and Lidar Remote Sensing

Roughness

Smooth 25sin

Rough 4.4sin

h

h

Page 28: An Introduction to Radar and Lidar Remote Sensing

Sources of radar backscattering from a

vegetation canopy

Question:

Does the strength of the backscattering vary with frequencies?

Page 29: An Introduction to Radar and Lidar Remote Sensing

Strength of scattering from a pine stand depends on frequency

Page 30: An Introduction to Radar and Lidar Remote Sensing

Polarization

• 1st letter is transmitted polarization, 2nd is received– Can have

VV, HH (like)

– HV, VH (cross)

Page 31: An Introduction to Radar and Lidar Remote Sensing

Polarization with radar

a.

b.

look direction

N

Ka - band, HH polarization

Ka - band, HV polarization

Page 32: An Introduction to Radar and Lidar Remote Sensing

Polarization with radar

• RADARSAT, C-band radar (5.4 GHz) with HH, VV, HV, and VH polarizations

Page 33: An Introduction to Radar and Lidar Remote Sensing

Geometric Distortions

Page 34: An Introduction to Radar and Lidar Remote Sensing

Geometric Distortions(or: Slant-range distortion)

• Foreshortening• Layover• Shadow

See handout

Page 35: An Introduction to Radar and Lidar Remote Sensing

Slant-range distortionThe slant-range distortion occurs because the radar is measuring the distance to

features in slant-range rather than the true horizontal distance along the ground. This results in a varying image scale, moving from near to far range.

• Foreshortening occurs when the radar beam reaches the base of a tall feature tilted towards the radar (e.g. a mountain) before it reaches the top. Because the radar measures distance in slant-range, the slope (from point a to point b) will appear compressed and the length of the slope will be represented incorrectly (a' to b') at the image plane.

• Layover occurs when the radar beam reaches the top of a tall feature (b) before it reaches the base (a). The return signal from the top of the feature will be received before the signal from the bottom. As a result, the top of the feature is displaced towards the radar from its true position on the ground, and „lays over” the base of the feature (b' to a').

• The shadowing effect increases with greater incident angle θ, just as our shadows lengthen as the sun sets.

Page 36: An Introduction to Radar and Lidar Remote Sensing

Foreshortening

Page 37: An Introduction to Radar and Lidar Remote Sensing

Layover

• Extreme case of foreshortening, when incidence angle is less than slope angle toward radar (i.e. θ<α)– cannot be

corrected– got to be careful

in the mountains

Page 38: An Introduction to Radar and Lidar Remote Sensing

Shadow • When slope away from radar is steeper than the depression angle, i.e. –α > γ

Page 39: An Introduction to Radar and Lidar Remote Sensing

Speckle: Random Interference

• Grainy salt-and-pepper pattern in radar imagery– Caused by coherent nature of the

radar wave, which causes random constructive and destructive interference, and hence random bright and dark areas in a radar image

• Reduced by multiple looks– processing separate portions of

an aperture and recombining these portions so that interference does not occur

a.

b.

c.

1 - Look radar image

4 - Look radar image

16 - Look radar image

Page 40: An Introduction to Radar and Lidar Remote Sensing

InSAR: Adding the Z-dimension

Landsat overlaid on topography from SRTM – Malaspina Glacier, Alaska

Page 41: An Introduction to Radar and Lidar Remote Sensing

22

interferometric phase incidence angle antenna angle baseline length wavelength range

From interferometry 2

2 sin

cost p

B

BB

h h

InSAR Geometry

Can you derive the equation? Extra credit (point)

Page 42: An Introduction to Radar and Lidar Remote Sensing

The following materials are FYI. Not required for exam.

Page 43: An Introduction to Radar and Lidar Remote Sensing

Shuttle Radar Topography Mission

Links to movies

Page 44: An Introduction to Radar and Lidar Remote Sensing

SRTM Global Coverage

Page 45: An Introduction to Radar and Lidar Remote Sensing

SRTM Elevation + Landsat Imagery

Perspective with Landsat Overlay: Antelope Valley, California

Page 46: An Introduction to Radar and Lidar Remote Sensing

From Radar to Lidar

• LIDAR = Light Detection And Ranging

• Using laser instead of microwave

Page 47: An Introduction to Radar and Lidar Remote Sensing

Measuring Forest Structure

Page 48: An Introduction to Radar and Lidar Remote Sensing

Continuous Waveform, Large Footprint

Page 49: An Introduction to Radar and Lidar Remote Sensing

Discrete Waveform, Small Footprint

Page 50: An Introduction to Radar and Lidar Remote Sensing

Canopy Topography

Page 51: An Introduction to Radar and Lidar Remote Sensing

Ground-Based Lidar (Echidna)

Page 52: An Introduction to Radar and Lidar Remote Sensing

A real Echidna—in the forest

Page 53: An Introduction to Radar and Lidar Remote Sensing

Data Examples

Page 54: An Introduction to Radar and Lidar Remote Sensing

Airborne Lidar Instrument: LVIS

Page 55: An Introduction to Radar and Lidar Remote Sensing

Space-borne: ICESat and GLAS

Page 56: An Introduction to Radar and Lidar Remote Sensing

Synthesis of Lidar, Radar, and optical sensors

Page 57: An Introduction to Radar and Lidar Remote Sensing

Global Map of Tree Height

Page 58: An Introduction to Radar and Lidar Remote Sensing

Other Relative Sensors: GRACE

GRACE: Gravity Recovery And Climate Experiment

Page 59: An Introduction to Radar and Lidar Remote Sensing

GRACE: The 2012 Drought over US

Page 60: An Introduction to Radar and Lidar Remote Sensing

Soil Moisture Active & Passive (SMAP)

Page 61: An Introduction to Radar and Lidar Remote Sensing

Radar• Frequency: 1.26 GHz • Polarizations: VV, HH, HV • Data collection:

• High-resolution/high-rate data collected for ground SAR processing • Low-resolution real-aperture data collected continuously

Radiometer• Frequency: 1.41 GHz • Polarizations: H, V, U • Relative accuracy: 1.3 K • Data collection: Continuous over full scan

SMAP Instruments

Page 62: An Introduction to Radar and Lidar Remote Sensing

DEformation, Ecosystem Structure, and Dynamics of Ice

Page 63: An Introduction to Radar and Lidar Remote Sensing

DESDynI Instruments4. Instrument Design & Performance

~350kmFlight Direction

Interferometric SARDual-Pol 3-BeamsQuad-Pol 6-BeamsRight or Left Point

L-Band Synthetic Aperture Radar

Lasers

LaserRadiators

Star Tracker

Multi-beam Lidar

Beam Spacing1 km

Page 64: An Introduction to Radar and Lidar Remote Sensing

Radar Basics, PPI, SLAR, SAR, InSAR; Radar Equation, Imaging Geometry, Geometric Distortion,

Speckle, Polarization, Interferometry; Lidar, Waveform, Footprint, Forest Structure Measurement; SRTM, LVIS, SMAP, GRACE, DESDynI, and Echidna.

Summary

Page 65: An Introduction to Radar and Lidar Remote Sensing

• For an SLAR with the following characteristics:λ = 1 cm,L = 3 m,H = 6000 m,θ = 60°, andtp = 100 ns,has got a resolution ofRa = 40 m andRr = 17.3 m

• Note:

Page 66: An Introduction to Radar and Lidar Remote Sensing

Homework-8 1. Derive the radar equation. 2. Derive the raindrop size equation from the radar equation you derived in

question 1. 3. The SLAR on a platform in a height of 600 km would achieve an

azimuth-resolution of Ra = ?. (other needed variable are the same given in class activity)

4. (extra credit) NASA Tropical Rainfall Measuring Mission (TRMM) has a single frequency radar at the Ku-band 13.8 GHZ particularly sensitive to moderate rain rates. With a single frequency, the TRMM radar is able to retrieve drop size. Assume that raindrops range from 1/100 inch (.0254 centimeter) to 1/4 inch (.635 centimeter) in diameter. Antenna Gain is 1.698, instrument size is 0.5 m, plot the relation of ratio of Pt/Pr vs. raindrop size, assume height of rain is 1 km.