PolSARpro v4.03 Forest Applications
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1 PolSARpro v4.03 Forest Applications Laurent Ferro-Famil Lecture on polarimetric SAR Theory and applications to agriculture & vegetation Thursday 19 April, morning
2 Pol-InSAR Tutorial Forest Application
3 PolSARpro v4.0 SOFTWARE GIMP Google Earth Viewer Display Tools PDF About PolSARpro NEST SRTM PolSARproSIM Ground Small Veg Forest Tutorial on POLSAR and POLinSAR Help Files
4 Lecture Notes Recent Advances in Radar Polarimetry and Polarimetric SAR Interferometry W.M. Boerner 31 pages Basic Concepts in Radar Polarimetry W.M. Boerner 100 pages Advanced Concepts E. Pottier, J.S. Lee, L. Ferro-Famil 65 pages POL-InSAR Training Course S.R. Cloude 44 pages PCT Training Course S.R. Cloude 55 pages
5 Do It Yourself Do It Yourself
6 PolSARpro v4.0 SOFTWARE PolSARproSIM Ground Small Veg Forest
7 PolSARpro v3.31 SOFTWARE PolSARproSim is a rapid, coherent, fully polarimetric and interferometric SAR simulation of forest.
8 PolSARpro SIM The SAR image is evaluated as a coherent sum of scattering events from small elements of the scene Direct-Ground, Direct-Volume and Ground-Volume contributions are included, with both trees and short vegetation comprising Volume terms. DECIDUOUS GV DG DV PINE RANDOM HEDGE Given the map of tree locations and dimensions a grid of points is used to sample the attenuation of the coherent wave in 3D
9 PolSARpro Simulators PolSARproSIM
10 PolSARpro Simulators Pol-InSAR Data Geometric configuration Platform altitude : 3000m Incidence angle: 45 Horizontal Baseline : 10m Vertical Baseline : 0m System Configuration Frequency : 1.5 GHz Azimuth resolution : m Range resolution : m Ground Surface Configuration Surface properties : 0 (smoothest) Ground moisture Content : 0 (driest) Azimuth / Range ground slope : 0 % Forest configuration Tree Species : 0 (hedge) Tree Height: 10m Forest stand density : 0.2 Forest Stand Circular Area : 1 Ha
11 PolSARpro Simulators DATA_MASTERDIR DATA_SLAVEDIR config.txt s11.bin, s12.bin s21.bin, s22.bin config.txt s11.bin, s12.bin s21.bin, s22.bin flat_earth.bin kz.bin
12 PolSARpro v4.0 SOFTWARE PolSARpro Full Software Single Data Set Multi Data Sets Spaceborne Sensors: ALOS, ENVISAT RADARSAT2, TerraSar, SIR-C Airborne Sensors: AIRSAR, Convair, EMISAR ESAR, PISAR, RAMSES PolSARpro Multi Data Sets package
13 MAIN MENU
14 MAIN MENU Environment Display Import Data Process Data Convert Data
15 ENVIRONNEMENT Environment Display Import Data Calibration Assessment Process Data Convert Data
16 ENVIRONNEMENT Configure Data Main Directories location Input Master Directory: C:/POLinSAR_Training_Course/Master_Track Input Slave Directory: C:/POLinSAR_Training_Course/Slave_Track
17 ENVIRONNEMENT Configure Data Main Directory location Automatic Data Check (Null or NaN) Configuration File (ENVI) Image Display Size setting
18 ENVIRONNEMENT Color Palette Edition & Modification
19 PROCESS DATA [S2] - MENU
20 PROCESS DATA [S2] - MENU
21 ELEMENTS Do it Yourself: Select some elements, set the parameters and view the corresponding BMP files (select BMP).
22 ELEMENTS DATA_MASTERDIR config.txt s11.bin, s12.bin s21.bin, s22.bin Axy.bin, Ixy.bin Ixy_db.bin sxy_pha.bin Axy.bmp, Ixy.bmp Ixy_db.bmp sxy_pha.bmp
23 PROCESS DATA [S2] - MENU
24 RAW INTERFEROGRAM Do it Yourself: Select polarization channels, set the parameters and view the corresponding BMP files. Note: The Output Directory is automatically set to: MasterDir_SlaveDir
25 RAW INTERFEROGRAM DATA_MASTERDIR_SLAVEDIR config.txt interferogram_xx_xx.bin interferogram_xx_xx.bmp
26 PROCESS DATA [S2] - MENU
27 FLAT EARTH REMOVAL Do it Yourself: Enter Flat Earth file name, set the parameters and run the function. Note: The Input Slave Directory is automatically set to: SlaveDir_FER
28 FLAT EARTH REMOVAL DATA_SLAVEDIR config.txt s11.bin, s12.bin s21.bin, s22.bin DATA_SLAVEDIR_FER config.txt s11.bin, s12.bin s21.bin, s22.bin
29 RAW INTERFEROGRAM Do it Yourself: Select polarization channels, set the parameters and view the corresponding BMP files. Note: The Output Directory is automatically set to: MasterDir_SlaveDir_FER
30 RAW INTERFEROGRAM DATA_MASTERDIR_SLAVEDIR_FER config.txt interferogram_xx_xx.bin interferogram_xx_xx.bmp
31 PROCESS DATA [S2] - MENU
32 COHERENCE ESTIMATION Do it Yourself: Select polarization channels (linear, circular, pauli), set the parameters (Box Car = 11x11) and view the corresponding BMP files (select BMP).
33 COHERENCE ESTIMATION DATA_MASTERDIR_SLAVEDIR_FER config.txt cmplx_coh_xx.bin cmplx_coh_xx_mod.bmp cmplx_coh_xx_pha.bmp
34 PROCESS DATA [S2] - MENU
35 HEIGHT ESTIMATION INVERSION PROCEDURES
36 HEIGHT ESTIMATION INVERSION PROCEDURES INVERSION PROCEDURES DEM Differencing Algorithm Coherence Amplitude Inversion Procedure Ground Phase Estimation RVOG Inversion Procedure
37 VOLUME COHERENCE MODEL Modeling z Parameter Estimation z h v h v 0 0 Simplifications : Only 2 significant mechanisms Low density medium No refraction
38 VOLUME COHERENCE MODEL γ VOL = j 0 e φ h v 0 f ( z )e h v 0 jk z z f ( z )dz dz φ0 k z = Topographic Phase 4π θ λ sin( θ 0 ) Vertical Wavenumber POLARIZATION INDEPENDENT
39 VOLUME COHERENCE MODEL γ VOL = j 0 e φ h v 0 f ( z )e h v 0 jk z z f ( z )dz dz Vertical Structure function f ( z ) = e σ z cos( θ Case of Uniform Random Layer θ 0 σ Incidence Angle Extinction Coefficient 0 ) POLARIZATION INDEPENDENT
40 RVOG COHERENCE MODEL (Random Volume Over Ground) 2 Layer Combined Surface and random Volume Scattering µ ( w) = γ ( w) jφ VOL e 0 γ + = 1 + µµ ( w) ( w) Surface Scattering Contribution Volume Scattering Contribution B. Treuhaft (2000), S.R. Cloude (2003) POLARIZATION DEPENDENT G / V ratio
41 FOREST HEIGHT ESTIMATION w v Polarisation Channel corresponding to Volume Scattering γ jφ0 ( w v ) a = e γ VOL µ a0 2HV w s Polarisation Channel corresponding to Surface Scattering γ ( w ) s = e jφ γ + µ 1 + µ ( w s ) ( w ) 0 VOL j s a µ a e φ 0 HH-VV
42 FOREST HEIGHT ESTIMATION γ γ ( w ) v ( w ) s = = e e jφ 0 jφ 0 γ VOL γ VOL + µ 1 + µ ( w s ) ( w ) s a φ0 h v σ µ = [ Model] 1 γ γ ( w v ) ( ) w s 4 Parameters 4 Observables INVERSION
43 HEIGHT ESTIMATION INVERSION PROCEDURES DATA_MASTERDIR_SLAVEDIR_FER config.txt DEM_diff_heights.bin, Coh_heights.bin Ground_phase.bin, Ground_phase_median.bin RVOG_phase_heights.bin, RVOG_heights.bin DEM_diff_heights.bmp, Coh_heights.bmp Ground_phase.bmp, Ground_phase_median.bmp RVOG_phase_heights.bmp, RVOG_heights.bmp 2HV Do it Yourself: Set the parameters (Median Size = 21, Factor = 0.4) and view the corresponding BMP files. HH-VV
44 HEIGHT ESTIMATION INVERSION PROCEDURES DEM_diff_heights Coh_heights Ground_phase Ground_phase_median RVOG_phase_heights RVOG_heights
45 PROCESS DATA [S2] - MENU
46 HEIGHT ESTIMATION INVERSION PROCEDURES Do it Yourself: Select a BMP file Select a BIN file Select Input Data Format Select Show Select Area SAVE PLOT
47 HEIGHT ESTIMATION INVERSION PROCEDURES DEM_diff_heights Coh_heights RVOG_heights
48 PROCESS DATA [S2] - MENU
49 HEIGHT ESTIMATION INVERSION PROCEDURES Do it Yourself: Select a BMP file Select a BIN file Select Input Data Format Select Pixel Select Show Select Representation X Range / Y Range = 200pix XY Range = 30 pix (3D) Set Min / Max Values PLOT
50 HEIGHT ESTIMATION INVERSION PROCEDURES DEM_diff_heights Coh_heights RVOG_heights
51 Polarization Coherence Tomography Tutorial
52 PolSARpro v4.0 SOFTWARE GIMP Google Earth Viewer Display Tools PDF About PolSARpro NEST SRTM PolSARproSIM Ground Small Veg Forest Tutorial on POLSAR and POLinSAR Help Files
53 Lecture Notes Recent Advances in Radar Polarimetry and Polarimetric SAR Interferometry W.M. Boerner 31 pages Basic Concepts in Radar Polarimetry W.M. Boerner 100 pages Advanced Concepts E. Pottier, J.S. Lee, L. Ferro-Famil 65 pages POL-InSAR Training Course S.R. Cloude 44 pages PCT Training Course S.R. Cloude 55 pages
54 Do It Yourself Do It Yourself
55 VOLUME COHERENCE MODEL γ VOL = j 0 e φ h v 0 f ( z )e h v 0 jk z z f ( z )dz dz Vertical Structure function f ( z ) = e σ z cos( θ Case of Uniform Random Layer θ 0 σ Incidence Angle Extinction Coefficient 0 )
56 VOLUME COHERENCE MODEL γ VOL = j 0 e φ h v 0 f ( z )e h v 0 jk z z f ( z )dz dz Assuming we know the estimates of: φ (topographic phase) and h (height) 0 Techniques for the reconstruction of: f ( z ) (Vertical Structure Function) v
57 POLARIMETRIC COHERENCE TOMOGRAPHY f ( ) z L Develop in a Fourier-Legendre series on [-1, +1] P n ( f ( a z n L z L ) = anpn ( zl ) n 2n + 1 = 2 ) 1 1 f ( z L )P Legendre Polynomials n ( z L )dz L a n
58 POLARIMETRIC COHERENCE TOMOGRAPHY Calculate Legendre Spectrum for polarization w Select an arbitrary polarization scattering mechanisms: w w γ ~ j ˆ φ0 kˆ v ( w) γ = γ ( w) e e j ( ) Re γ â20 = ( ~ γ ) f 0 = a 20 f 2 f 2 ( ~ γ ) = ja f Im( ~ γ ) Re = Im Reconstruct normalized vertical structure fˆ â 10 ( w,z) ( 1 â ( w) ) 1 10 = j ( w) 1 â20 = z ĥ ĥ v v ~ f 1 f 0 With: 0 < z < ĥv
59 PROCESS DATA [S2] - MENU
60 POLARIMETRIC COHERENCE TOMOGRAPHY PCT Parameters Estimation Do it Yourself: Set the parameters (Window Size = 11, Epsilon = 0.8) and view the corresponding BMP files.
61 POLARIMETRIC COHERENCE TOMOGRAPHY PCT Parameters Estimation DATA_MASTERDIR_SLAVEDIR_FER config.txt cmplx_coh_pctgamhi.bin, cmplx_coh_pctgamlo.bin PCT_TopoPhase.bin, PCT_Kv.bin, PCT_Height.bin cmplx_coh_pctgamhi_mod.bmp, cmplx_coh_pctgamhi_pha.bmp, cmplx_coh_pctgamlo_mod.bmp, cmplx_coh_pctgamlo_pha.bmp, PCT_TopoPhase.bmp, PCT_Kv.bmp, PCT_Height.bmp Do it Yourself: Set the parameters (Window Size = 11, Epsilon = 0.8) and view the corresponding BMP files.
62 POLARIMETRIC COHERENCE TOMOGRAPHY PCT Parameters Estimation Optimal PolInSAR Coherences Topographic Phase Normalized Baseline Kv Estimated Height
63 POLARIMETRIC COHERENCE TOMOGRAPHY PCT Engine Do it Yourself: Select a Polarimetric channel, run and view the corresponding BMP files.
64 POLARIMETRIC COHERENCE TOMOGRAPHY PCT Engine DATA_MASTERDIR_SLAVEDIR_FER config.txt PCT_f0.bin, PCT_f1.bin, PCT_f2.bin, PCT_a10.bin, PCT_a20.bin PCT_a10.bmp, PCT_a20.bmp Legendre Coefficients a10 and a20
65 POLARIMETRIC COHERENCE TOMOGRAPHY PCT Engine Do it Yourself: Select the Hist function Legendre Functions f0, f1 and f2
66 POLARIMETRIC COHERENCE TOMOGRAPHY PCT Engine Do it Yourself: Select the Display PCT function
67 Questions?
68 ALOS / PALSAR Pol-InSAR DataSets
69 BASELINE CALCULATOR TOOL PALSAR Data Level Read orbit Position and Velocity vectors (28 SVs) from L1.1 product header 2. Interpolate the 2 ALOS orbits 3. Align the time reference between the orbits 4. Read timing and geometry information from the SAR scene 5. Calculate perpendicular baseline 1 28 SVs perpendicular baseline ALOS orbit SAR scene 4
70 BASELINE CALCULATOR TOOL PALSAR Data Level 1.1 INTERFEROMETRIC BASELINE TOOL Check the Pol-InSAR application feasibility Generate Flat-Earth and Vertical Wavenumber Provide coarse co-registration SLC #1 SLC #2
71 PolSARpro v4.0 SOFTWARE ALOS : Advanced Land Observing Satellite PALSAR : Phase Array L-Band SAR
72 PROCESSING CHAIN Configuration Data Import Input Data File: Spaceborne Sensors Extract Raw Data Data already extracted Data Process Flat Earth Estimation Baseline Estimation Flat Earth Estimation Spectral Estimation Tools Sub Data Extraction Complex Coherence Estimation Coarse Co-Registration Flat Earth Estimation Spectral Estimation Complex Coherence Estimation Flat Earth Removal Complex Coherence Estimation
73 PROCESSING CHAIN Configuration Data Process Flat Earth Estimation Baseline Estimation Flat Earth Estimation Spectral Estimation Tools Sub Data Extraction Complex Coherence Estimation Coarse Co-Registration Flat Earth Estimation Spectral Estimation Complex Coherence Estimation Flat Earth Removal Complex Coherence Estimation
74 MAIN MENU
75 ENVIRONNEMENT Configure Data Main Directories location Input Master Directory: C:/ Prague_280307_Master Input Slave Directory: C:/ Prague_130507_Slave
76 DISPLAY
77 DISPLAY Master Pauli Image Slave Pauli Image
78 PROCESSING CHAIN Configuration Data Process Flat Earth Estimation Baseline Estimation Flat Earth Estimation Spectral Estimation Tools Sub Data Extraction Complex Coherence Estimation Coarse Co-Registration Flat Earth Estimation Spectral Estimation Complex Coherence Estimation Flat Earth Removal Complex Coherence Estimation
79 PROCESS DATA Environment Display Import Data Calibration Assessment Process Data Convert Data
80 PROCESS DATA [S2] - MENU
81 BASELINE ESTIMATION Do it Yourself: Run the Baseline Estimation Select some auxiliary parameters and view the corresponding BMP files.
82 BASELINE ESTIMATION kz kz Radar Incidence Angle
83 BASELINE ESTIMATION Master Pauli Image Flat Earth
84 PROCESSING CHAIN Configuration Data Process Flat Earth Estimation Baseline Estimation Flat Earth Estimation Spectral Estimation Tools Sub Data Extraction Complex Coherence Estimation Coarse Co-Registration Flat Earth Estimation Spectral Estimation Complex Coherence Estimation Flat Earth Removal Complex Coherence Estimation
85 PROCESS DATA [S2] - MENU
86 SPECTRAL ESTIMATION Do it Yourself: Select the polarization channel Set the Analysis Window size Set the output format View the corresponding BMP files.
87 SPECTRAL ESTIMATION Master Pauli Image Flat Earth FFT
88 SPECTRAL ESTIMATION Flat Earth Flat Earth FFT
89 PROCESSING CHAIN Configuration Data Process Flat Earth Estimation Baseline Estimation Flat Earth Estimation Spectral Estimation Tools Sub Data Extraction Complex Coherence Estimation Coarse Co-Registration Flat Earth Estimation Spectral Estimation Complex Coherence Estimation Flat Earth Removal Complex Coherence Estimation
90 TOOLS Do it Yourself: Init Row = 1 End Row = 5000 Init Col = 1 End Col = 1248 MASTER DIR config.txt Fully Polarimetric Data Files MASTER DIR_SUB config.txt Fully Polarimetric Data Files
91 TOOLS Do it Yourself: Init Row = 1 End Row = 5000 Init Col = 1 End Col = 1248 SLAVE DIR config.txt Fully Polarimetric Data Files SLAVE DIR_SUB config.txt Fully Polarimetric Data Files
92 TOOLS Do it Yourself: Init Row = 1 End Row = 5000 Init Col = 1 End Col = 1248 SLAVE DIR flat_earth.bin flat_earth.bin SLAVE DIR_SUB flat_earth.bin
93 ENVIRONNEMENT Configure Data Main Directories location Input Master Directory: C:/ Prague_280307_Master_SUB_SUB Input Slave Directory: C:/ Prague_130507_Slave_SUB_SUB
94 DISPLAY
95 DISPLAY
96 DISPLAY Master Pauli Image Slave Pauli Image
97 PROCESSING CHAIN Configuration Data Process Flat Earth Estimation Baseline Estimation Flat Earth Estimation Spectral Estimation Tools Sub Data Extraction Complex Coherence Estimation Coarse Co-Registration Flat Earth Estimation Spectral Estimation Complex Coherence Estimation Flat Earth Removal Complex Coherence Estimation
98 PROCESS DATA [S2] - MENU
99 COMPLEX COHERENCE ESTIMATION Do it Yourself: Select the polarization channel Set the Analysis Window size (7) Select BMP and Averaging Set the Analysis Averaging Window size (7) View the corresponding BMP files.
100 COMPLEX COHERENCE ESTIMATION cmplx_coh_avg_vv_mod cmplx_coh_avg_vv_pha
101 COMPLEX COHERENCE ESTIMATION Master Pauli Image Slave Pauli Image
102 COMPLEX COHERENCE ESTIMATION Master Pauli Image Slave Pauli Image SHIFT
103 PROCESSING CHAIN Configuration Data Process Flat Earth Estimation Baseline Estimation Flat Earth Estimation Spectral Estimation Tools Sub Data Extraction Complex Coherence Estimation Coarse Co-Registration Flat Earth Estimation Spectral Estimation Complex Coherence Estimation Flat Earth Removal Complex Coherence Estimation
104 PROCESS DATA [S2] - MENU
105 BASIC COARSE COREGISTRATION Do it Yourself: Set the Analysis Window size Row = 1024 Col = 256 SLAVE DIR_SUB config.txt Fully Polarimetric Data Files SLAVE DIR_SUB_COR config.txt Fully Polarimetric Data Files
106 BASIC COARSE COREGISTRATION Master Pauli Image Slave Pauli Image
107 PROCESSING CHAIN Configuration Data Process Flat Earth Estimation Baseline Estimation Flat Earth Estimation Spectral Estimation Tools Sub Data Extraction Complex Coherence Estimation Coarse Co-Registration Flat Earth Estimation Spectral Estimation Complex Coherence Estimation Flat Earth Removal Complex Coherence Estimation
108 PROCESS DATA [S2] - MENU
109 SPECTRAL ESTIMATION Do it Yourself: Select the polarization channel Set the Analysis Window size Row = 1024 Col = 256 Set the output format View the corresponding BMP files.
110 SPECTRAL ESTIMATION Flat Earth Flat Earth FFT
111 PROCESSING CHAIN Configuration Data Process Flat Earth Estimation Baseline Estimation Flat Earth Estimation Spectral Estimation Tools Sub Data Extraction Complex Coherence Estimation Coarse Co-Registration Flat Earth Estimation Spectral Estimation Complex Coherence Estimation Flat Earth Removal Complex Coherence Estimation
112 PROCESS DATA [S2] - MENU
113 COMPLEX COHERENCE ESTIMATION Do it Yourself: Select the polarization channel Set the Analysis Window size (7) Select BMP and Averaging Set the Analysis Averaging Window size (7) View the corresponding BMP files.
114 COMPLEX COHERENCE ESTIMATION cmplx_coh_avg_vv_mod cmplx_coh_avg_vv_pha
115 COMPLEX COHERENCE ESTIMATION cmplx_coh_avg_vv_pha Flat Earth FFT
116 PROCESSING CHAIN Configuration Data Process Flat Earth Estimation Baseline Estimation Flat Earth Estimation Spectral Estimation Tools Sub Data Extraction Complex Coherence Estimation Coarse Co-Registration Flat Earth Estimation Spectral Estimation Complex Coherence Estimation Flat Earth Removal Complex Coherence Estimation
117 PROCESS DATA [S2] - MENU
118 FLAT EARTH REMOVAL Do it Yourself: Enter the 2D Flat Earth file Select conjugate SLAVE DIR_SUB_COR config.txt Fully Polarimetric Data Files SLAVE DIR_SUB_COR_FER config.txt Fully Polarimetric Data Files
119 PROCESSING CHAIN Configuration Data Process Flat Earth Estimation Baseline Estimation Flat Earth Estimation Spectral Estimation Tools Sub Data Extraction Complex Coherence Estimation Coarse Co-Registration Flat Earth Estimation Spectral Estimation Complex Coherence Estimation Flat Earth Removal Complex Coherence Estimation
120 COMPLEX COHERENCE ESTIMATION Do it Yourself: Select the polarization channel Set the Analysis Window size (7) Select BMP and Averaging Set the Analysis Averaging Window size (7) View the corresponding BMP files.
121 COMPLEX COHERENCE ESTIMATION cmplx_coh_avg_vv_mod cmplx_coh_avg_vv_pha
122 COMPLEX COHERENCE ESTIMATION cmplx_coh_avg_vv_pha cmplx_coh_avg_vv_pha
123 CONCLUSION Master Pauli Image cmplx_coh_avg_vv_mod?
124 CONCLUSION T* POLSAR IMAGES I1 = w 1 k and 1 I T* 2 = w 2 k 2 ( w, ) With: Complex Unitary Vectors 1 w 2 * I1I 2 γ ( w 1,w 2 ) = = I I I I 1 * 1 2 * 2 w [ Ω ] T* w 1 12 w 2 T* 1[ T1 ] w 1 w 2[ T2 ] w T* 2 COMPLEX POLARIMETRIC INTERFEROMETRIC COHERENCE γ = γ SNR γ spatial γ temporal γ polar 46 days
125 TanDEM-X TerraSAR X (1 & 2) (2010) Pol InSAR Sensors
126 TanDEM-L DESDynl Monitoring the Earth s Dynamics with Pol-InSAR Courtesy of Pr. A. Moreira POLINSAR09
127 Questions?
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