lecture 04. lidar remote sensing overview (2)home.ustc.edu.cn/.../ucs%bd%cc%b3%cc/lecture04.pdf ·...
TRANSCRIPT
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Lecture 04. Lidar RemoteSensing Overview (2)
Introduction
Basic Lidar equation
Different forms of lidar equation
Classifications of lidars
Different challenges in various lidars
Summary
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Introduction Lidar equation is the fundamental equation in laser
remote sensing field to relate the received photoncounts (or light power) with the transmitted laserphoton numbers (or laser power), the light transmissionin atmosphere or medium, the physical interactionbetween light and objects, the photon receivingprobability, and the lidar system efficiency andgeometry, etc.
The lidar equation is based on the physical pictureof lidar remote sensing, and derived under twoassumptions: independent and single scattering.
Different lidars may use different forms of the lidarequation, but all come from the same picture.
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Picture of Lidar Remote Sensing
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Physical Picture in Lidar Equation
T ( L ,R)
NL ( L )
T ( ,R)
( , L , ,R)
A
R2
( , L )G(R)
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Factors in Lidar Equation
NS ( ,R) NL ( L )
T ( L ,R)
( , L , ,R)
T ( ,R)
A
R2
( , L )G(R)
The received photon counts NS are related to the factors
Transmitted laser photon number
Laser photon transmission
through medium
Probability of a transmitted
photon to be scattered
Signal photon transmission
through medium
Probability of a scattered
photon to be collected
Lidar system efficiency and
geometry factor
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Considerations for Lidar Equation
In general, the interaction between the lightphotons and the particles is a scattering process.
The expected photon counts are proportional to theproduct of the
(1) transmitted laser photon number,
(2) probability that a transmitted photon is scattered,
(3) probability that a scattered photon is collected,
(4) light transmission through medium, and
(5) overall system efficiency.
Background photon counts and detector noise alsocontribute to the expected photon counts.
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Fundamental Lidar Equation
NS -- expected photon counts detected at and R 1st term -- the transmitted laser photon number; 2nd term -- the probability of a transmitted photon to
be scattered by the objects into a unit solid angle; 3rd term -- the probability of a scatter photon to be
collected by the receiving telescope; 4th term -- the light transmission through medium for
the transmitted laser and return signal photons; 5th term -- the overall system efficiency; 6th term NB -- background and detector noise counts.
NS ( ,R) = NL ( L ) ( , L , ,R) R[ ]A
R2T ( L ,R)T ( ,R)[ ] ( , L )G(R)[ ] +NB
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Basic Assumptions in Lidar Equation
The lidar equation is developed under twoassumptions: the scattering processes are independent,and only single scattering occurs.
Independent scattering means that particles areseparated adequately and undergo random motion sothat the contribution to the total scattered energy bymany particles have no phase relation. Thus, the totalintensity is simply a sum of the intensity scatteredfrom each particle.
Single scattering implies that a photon is scatteredonly once. Multiple scatter is excluded in ourconsideration.
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1st Term: Transmitted Photon Number
NL ( L ) =PL ( L ) t
hc L
Laser Power x time bin lengthPlanck constant x Laser frequency
Transmitted laser energy within time binSingle laser photon energy
Transmitted laser photon numberwithin time bin length
NS ( ,R) = NL ( L ) ( , L , ,R) R[ ]A
R2T ( L ,R)T ( ,R)[ ] ( , L )G(R)[ ] +NB
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2nd Term: Probability to be Scattered
Angular scattering probability - the probabilitythat a transmitted photon is scattered byscatters into a unit solid angle.
Angular scattering probability =volume scatter coefficient
x scattering layer thickness R
NS ( ,R) = NL ( L ) ( , L , ,R) R[ ]A
R2T ( L ,R)T ( ,R)[ ] ( , L )G(R)[ ] +NB
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Volume Scatter Coefficient Volume scatter coefficient is equal to
( , L ,R) =d i ( L , )
dni (R) pi ( )
i
d i ( L )
d
is the differential scatter cross-section of singleparticle in species i at scattering angle
ni (R) is the number density of scatter species i
pi ( )is the probability of the scattered photonsfalling into the wavelength .
Volume scatter coefficient is the probability per unitdistance travel that a photon is scattered intowavelength in unit solid angle at angle .
(m-1sr-1)
(m2sr-1)
(m-3)
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3rd Term: Probability to be Collected
The probability that a scatterphoton is collected by thereceiving telescope,i.e., the solid angle subtendedby the receiver apertureto the scatterer. A
z
z
NS ( ,R) = NL ( L ) ( , L , ,R) R[ ]A
R2T ( L ,R)T ( ,R)[ ] ( , L )G(R)[ ] +NB
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4th Term: Light Transmission
The atmospheric transmission of laser light at outgoingwavelength L and return signal at wavelength
NS ( ,R) = NL ( L ) ( , L , ,R) R[ ]A
R2T ( L ,R)T ( ,R)[ ] ( , L )G(R)[ ] +NB
T ( L ,R) = exp ( L ,r)dr0R
T ( ,R) = exp ( ,r)dr0R
Where ( L, R) and ( , R) are extinction coefficients (m-1)
Transmission
for laser light
Transmission
for return signal
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Extinction Coefficient
Extinction = Absorption + Scattering (Integrated)
Total Extinction = Aerosol Extinction + Molecule Extinction
( ,R) = aer,abs( ,R) + aer,sca( ,R) + mol,abs( ,R) + mol,sca( ,R)
( ,R) = i,ext ( )ni (R)[ ]i
is the extinction cross-section of species i
ni (R) is the number density of species i
i,ext ( )
i,ext ( ) = i,abs( ) + i,sca( )
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5th Term: Overall Efficiency
( , L ) = T ( L ) R ( ) is the lidar hardware optical efficiency
e.g., mirrors, lens, filters, detectors, etc
G(R) is the geometrical form factor, mainly concerning theoverlap of the area of laser irradiation with the fieldof view of the receiver optics
NS ( ,R) = NL ( L ) ( , L , ,R) R[ ]A
R2T ( L ,R)T ( ,R)[ ] ( , L )G(R)[ ] +NB
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6th Term: Background Noise
NB is the expected photon counts due to background noise(e.g., solar scattering) and detector and circuit shotnoise.
NS ( ,R) = NL ( L ) ( , L , ,R) R[ ]A
R2T ( L ,R)T ( ,R)[ ] ( , L )G(R)[ ] +NB
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Different Forms of Lidar Equation The main difference between upper and lower
atmosphere lidars lies in the treatment of backscattercoefficient and atmosphere transmission (extinction).
Upper atmosphere lidar cares about the backscattercoefficient more than anything else, because (1) thelower atmosphere transmission is cancelled out duringRayleigh normalization, and (2) the extinction caused byatomic absorption can be precisely calculated, thus,extinction is not an issue to upper atmosphere lidar.
Lower atmosphere lidar relies on both backscattercoefficient and atmospheric extinction, as these arewhat they care about or something that cannot becancelled out.
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General Form of Lidar Equation
NS ( ,R) = NL ( L ) ( , L , ,R) R[ ]A
R2T ( L ,R)T ( ,R)[ ] ( , L )G(R)[ ] +NB
PS ( ,R) = PL ( L ) ( , L , ,R) R[ ]A
R2T ( L ,R)T ( ,R)[ ] ( , L )G(R)[ ] +PB
General Lidar Equation in and
NS ( ,R) =PL ( L ) t
hc L
( , L ,R) R[ ]
A
R2
exp 2 ( , r )d r 0
R
( , L )G(R)[ ] + NB
( , L ,R) =d i ( L )
dni (R) pi ( )
i
T ( L ,R)T ( ,R) = exp ( L ,r)dr0
R+ ( ,r)dr
0
R
Volume scatter coefficient
Transmission
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Fluorescence Form of Lidar Equation
NS ( ,R) =PL ( ) t
hc
eff ( ,R)nc (z)RB( ) R( )
A
4 R2
Ta2( ,R)Tc
2( ,R)( ) ( )G(R)( )+NB
Tc (R) E(R) = exp eff ( , r )nc ( r )d r Rbottom
R
= exp c ( , r )d r
Rbottom
R
Here, ( ,R) is the extinction coefficient caused by the absorption.
c ( ,R) = eff ( ,R)nc (R)
Here, TC(R) is the extinction coefficient caused by the absorption.
Resonance fluorescence and laser-induced-fluorescence are NOTinstantaneous processes, but have delays due to the radiative lifetimeof the excited states.
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Classifications of Lidar
There are several different classifications on lidarse.g., based on the physical process;
(Mie, Rayleigh, Raman, Res. Fluorescence, …)based on the platform;(Groundbased, Airborne, Spaceborne, …)based on the detection region;(Atmosphere, Ocean, Solid Earth, Space, …)based on the emphasis of signal type;(Ranging, Scattering, …)based on the topics to detect;(Aerosol, Constituent, Temp, Wind, Target, …)
… …
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Physical ProcessElastic Scattering
by Aerosols and Clouds
Elastic ScatteringBy Air Molecules
Absorption by Atoms and Molecules
Inelastic Scattering
Resonance Scattering/Fluorescence By Atoms
Doppler Shift
DeviceMie Lidar
Rayleigh Lidar
DIAL
Raman Lidar
Resonance Fluorescence
Lidar
Wind Lidar
ObjectiveAerosols, Clouds:
Geometry, Thickness
Gaseous Pollutants
Ozone
Humidity (H2O)
Aerosols, Clouds:Optical DensityTemperature in
Lower Atmosphere
Stratos & MesosDensity & Temp
Temperature, WindDensity, Clouds
in Mid-Upper Atmos
Wind, Turbulence
Reflection from Surfaces Target LidarLaser Altimeter
Topography, Target
Laser Induced Fluorescence Fluorescence Lidar Marine, Vegetation
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Classification on Platform
Spaceborne lidar
Airborne lidar
Groundbased lidar
Submarine lidar
Satellite, Space Shuttle.Space Station
Jet, Propeller AirplanesUnmanned Aerial Vehicle (UAV)
Kite
StationaryContanerized moved with truck
Shipborne lidar Icebreaker, Ships
Submarine
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Detection Regions
Atmosphere lidar
Hydrosphere lidar
Solid Earth lidar
Various typesFrom various platforms
Various typesFrom various platforms
Airborne or SpaceborneLaser altimeter
Target lidarVarious type
With or withoutImaging function
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Emphasis on Signal Type
Ranging/Profiling LidarScattering Lidar
Mainly concernTime delay between
transmission andreception
Besides time delay,more interested insignal strength,
spectra, etc
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Various Topics
Aerosol/Cloud lidar
Constituent lidar
Temperature lidar
Wind lidar
Target lidar
… … … …
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Lidar Classifications on Challenge
Middle and UpperAtmosphere Lidar
LowerAtmosphere Lidar
Target lidar
Long range - weak signalAccurate knowledge about atomsAccurate knowledge of transmitterAccurate knowledge of receiverDemanding requirements on lasers
Many factors involved togetherAerosols play a key role, also addthe difficulty to lower atmosphere
Precise determination of altitude isa great challenge, as many factorsare involved.
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Summary Lidar equation is the fundamental equation governing the
lidar remote sensing field.
Lidar equation relates the received photon counts to thetransmitted laser photon numbers, light transmissionthrough medium, probability of a transmitted photon to bescattered, properties of scatters, probability of ascattered photon to be collected, and lidar systemefficiency and geometry factors.
Different lidars may use different forms of the lidarequation, depending on the needs and emphasis.
Classifications of lidars can have different categories.