Practical work on SAR Interferometry Data Processing using DORIS Software Y.S. Rao CSRE, IIT Bombay

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1 Practical work on SAR Interferometry Data Processing using DORIS Software Y.S. Rao CSRE, IIT Bombay Tools : DORIS (Delft Object-Oriented Radar Interferometric Software) is freely available with source code and can be downloaded through the One has to compile according to the instructions given in the INSTALL file. At present 4.02 Version is available and you are going to work with this version. This software uses FFT routines, snaphu (Stanford phase unwrapping software), GMT and projection software. These are also available freely on Internet. We assumed that the software is installed successfully on Linux Fedora, Debian, etc. or Windows with Cygwin. If you have raw data, you can process using ROI, StaMPS and then DORIS. In this exercise, you use ASAR SLC data over BAM, Iran earthquake. Data Source : ENVISAT ASAR data over Iran, Bam Earthquake area Date set 1: June 11, 2003 with orbit No ASA_IMS_1PNUPA _061252_ _00120_06687_0098.N1 Data set 2: Dec. 03, 2003 ASA_IMS_1PNUPA _061259_ _00120_09192_0099.N1 In between this and Jan 2004, an earthquake occurred on Dec. 26, 2003 Data set 3 : Jan. 11, 2004 ASA_IMS_1PNPDE _061300_ _00120_09693_0012.N1 The above data sets are available freely to users from ESA. Frascati, Italy. By sending an to eohelp@esa.int you will get a DVD with data. Practical 1 : 3-Pass SAR Interferometry for Displacement Map Generation. TOPO Pair Processing (i.e Dec and June pair processing) 9192 versus 6687) 20 minutes for this work. Those who do not know Unix command may take more time) You need to know how to handle with directory i.e $ls -l (or $dir -l ) $cd.. (one step down) $cd./topo one step up directory, changing directory, $pwd command, etc. $mkdir bam (create a directory with name bam ) Already done $cp /mnt/cdrom /home/course/bam (copy 3 data files into the bam directory) Already done As the files are very big, you have to shorten with symbolic ($ln s source target) links $ls -l (this command shows files in the directory) $ln -s ASA_IMS_1PNUPA _061252_ _00120_06687_0098.N N1 $ln -s ASA_IMS_1PNUPA _061259_ _00120_09192_0099.N N1 $ln -s ASA_IMS_1PNPDE _061300_ _00120_09693_0012.N N1 $ls -l (this command shows file names )

2 You can find the links with names 9192.N1, 6687.N1 and 9693.N1 $mkdir topo ( create a dir for data processing of June and Dec. for topography) Already done $mkdir defo (create a dir for data processing of Dec. and Jan.for deformation map) Already done $cd topo (change dir) $ls -l (you can see files names with input.m_initial, input.s_initial, input.resample, etc. files) These files contain number of commands or input to the software. These can be changed for various requirements. For example, proper commands are kept in those files to process Bam, Iran ENVISAT, ASAR data for a small region. For full scene processing, you need to change some parameters or you can use direct Bert Campus s scripts which are available on Delft website. One may get experience with time by processing the small data. For outputs, create a directory Outdata. All outputs will be stored in this directory except sun raster data outputs. $mkdir Outdata ( please note that O is capital, you are using UNIX) $doris input.m_initial (This command copies the December (9192 orbit) data and required parameters from the original data i.e what we copied from CD) and takes as master data set. You will get some 9192.res, master_mag.ras file in topo dir and 9192.raw data file in Outdata directory) $xv master_mag.ras (This command shows what the output of previous command) After seeing the file, close the window corresponding to this xv view. $doris input.s_initial (This command copies data and required parameters from the June data (6687 orbit). You will get outputs 6687.res and /Outdata/6687.raw data file. $xv slave_mag.ras (This command shows the slave image which is generated using the above command) $doris input.coregistration (This command calculates slave image shift from the master image using orbital parameters, coarse shifts and obtain fine registation parameters). This program also plots the offset points with correlation more than 0.3. From the plots, you can observe the correlation and shifts with arrows. If you do not have GMT, you will not get plots, but results are still written in topo directory. $doris input.resample (This program calculates the polynomial for registering the two images. The output is resampled slave image. Here you may get several plots showing correlation of different points and errors between estimated and actual locations. The output of the resampling and original slave file can be compared using the following commands $xv slave_mag.ras $xv slave_rs_mag.ras $doris input.products (This program generates interferogram, computes reference phase corresponding to flat terrain and subtract from the interferogram) The outputs are as follows : interferogram_pha.ras, interferogram_mix.ras, interferogram_mag.ras These can be displayed using xv command as $xv interferogram_pha.ras (This image is interferogram before flattening)

3 $xv interferogram_mix.ras (interferogram after mixing with intensity) $xv interferogram_mag.ras (magnitude of interferogram, i.e. intensity) $xv coherence.ras (coherence between two images can be seen. Dark areas show low and bright colour shows high coherence values) $doris input.filter_unwrap (This filters the interferogram to reduce the noise and unwrap the phase) Unwrapping part will take a few minutes. $xv unwrapped_interferogram.ras (This shows the result of the above task ) Defo (Deformation) pair processing procedure (Dec. and Jan, i.e 9192 versus 9693) Many commands are similar to the above task, but with different data combination. This takes about 20 minutes) $cd../defo $ls -l (shows some files input.m_initial, input.coregistarion, etc., These files are to be edited as per your requirement). The following procedure is almost similar to the previous one, but with different data set of pair i.e 9192 (dec) and 9693 (jan) $mkdir Outdata $doris input.m_initial $xv master_mag.ras $doris input.s_initial $xv slave_mag.ras $doris input.coregistration $doris input.resample (see output files as similar to the previous case ) $doris input.products (see output files as similar to the previous case )

4 $ cp../topo/outdata/9192_6687.uint./outdata (the unwrapped phase file that we got through the previous process is to be copied into this present directory) $doris input.filter_dinsar (This program filters the defo interferogram and subtract from the topo interferogram phase) $doris input.filt_diff_fringes (This program filters differential interferogram fringes ) $xv interferogram_dinsar_pha.ras (display the deformation of earth surface due to earthquake) $xv interferogram_dinsar_mix.ras Exercise : Right_click on the image and click for mirror image (horizontal arrow) Count number of fringes. Each fringe represents 2.8 (wavelength/2) cm. Please look at the outputs and observe the displacement. What is total deformation and which side is more? Differential Interferogram before filtering The following is an OPTIONAL : ************************************************** If you want to filter differential interferogram, you need to edit 9192_9693.res file. Before editing, copy this file into another file say 9192_9693.res_backup for safe side. In the file 9192_9693.res at the top, you can find task completed with 1 and others 0. You need to change the process control flag corresponding to filtphase from 1 to 0. You have to also remove result related to filtphase in the file 9192_9693.res i.e lines with Start_filtphase and below. $ doris input.filter_unwrap (This program filters the differential interferogram and unwrap the differential interferogram ) Filtered interferogram

5 $xv unwrapped_interferogram.ras Unwrapped Interferogram OPTIONAL part : END ************************************************** You can also use the following command without any modifications of 9192_9693.res file, but without filtering differential interferogram $doris input.unwrap_diff ( This command unwrap the differential interferogram without filtering ) Displacement MAP generation : This should be done separately. One has to open unwrapped phase with BIL format with two bands. First band contains amplitude image and the second band contains unwrapped phase. The second band is multiplied with 2.8*/2pi to get displacement in centimeters. Import the unwrapped_9192_9693.udcint in the Outdata directory (change the extension *.udcint if ERDAS requires) using ERDAS into.img format. Give the following parameters while importing. Rows: 987 Columns: 1182 BIL format Bands:2 You can also use ENVI software or other free software for processing the file. Second channel is unwrapped differential phase. There is also an option in DORIS to write only phase and not BIL format with 2 bands. Using the imported image perform the below operation using MODELER in ERDAS. defo_in_meters = - DinSAR_unwrapped_phase * 2.8/(2PI) in radar direction Display the image in Pseudo colours. The resultant output is as given below.

6 +30 cm -18 cm 30 cm moved towards (+ sign) the radar and 18 cm away (- sign) from the radar Practial-2 (about 40 minutes, simultaneously you can do practical-3 while running this task) 2-Pass Interferometry using Dec and Jan ASAR Images (only two scenes are enough to calculate displacement map, but you need SRTM DEM) Data : Dec (9192 orbit) and Jan 11, 2004 (9693 orbit) and SRTM DEM $cd bam (go to bam directory) $mkdir twopass (create directory) $mkdir Outdata (create direcotory for output data files) The file N28to29_E57to59_final.hgt (The size 2401 x 3601, signed short, You can display the image using freelook or any other software, Lat goes from 28-30N and Long 57-60E). It is 2deg by 3deg in size. You can also convert the binary file into xyz ascii format (long, lat, height) and then use ascii2ps ascii.file. From this command, you will get temp.eps file. xv temp.eps (display SRTM DEM). You can see the displayed SRTM DEM at the end of the file. $doris input.m_initial (creates required parameters and master data set from original SAR data i.e Dec. 3, 2003) $doris input.s_initial (creates required parameters and slave data set from original Jan 11, 2004 data set) $ls -l ( to check about batch files that are available in the directory for running the software) $doris input.coregistration $doris input.resample $doris input.products Display output data products i.e. *.ras files using $xv filename.ras as similar to practical one. $doris input.refdem_dinsar ( SRTM DEM is radar-coded at the grid of interferogram. This step takes a little more time (30 minutes). Please wait till the task is over). Output of this step is refdem.raw. This command subtract the phase corresponding to refdem from the complex interferogram. While running the task, you can continue with practical-3

7 $xv interferogram_srd_pha.ras (This command display the output of the above task and looks as below: $doris input.filter_unwrap $xv interferogram_filt_pha.ras & ( you will see the following filtered interferogram) Compare two-pass differential fringes with that of 3-pass write your observations. $xv unwrapped_interferogram.ras & (This command displays unwrapped phase which can be converted into displacement as similar to 3-pass exercise)

8 Unwrapped phase (after mirroring the image using right click option with xv) Practical 3 : DEM Generation and Visualization (approximate time taken for this is 10 minutes) $cd topo (this is already created and worked using Dec and June data sets i.e Practical-1 $doris input.slant2height (This command converts unwrapped phase into height values) output is hei.schw file $doris input.geocode (This program converts height data into geocoded products) outputs are lam.raw and phi.raw files $lonlathei2ascii lam.raw phi.raw hei.schw lonlathei.dat (lonlathei.asci is gmt script and converts the data into 3 column ascii data. Output is somewhat big file due to ascii format (32 MB) $ascii2ps lonlathei.dat (This converts 3 column ascii data into postscript file which can viewed using xv or gv (ghostview) $xv temp.eps (displaying the Geocoded DEM in colours) $ascii2ascii_utm lonlathei.dat +utm_sone=40 xyz_utm.dat $ascii2ps xyz_utm.dat $xv temp.eps (displaying the geocoded in colour ) You can compare this DEM with that of SRTM DEM shown below: be

9 BAM Geocoded DEM using ASAR data