P-SBAS InSAR Sentinel-1 TOPS (GEP)
P-SBAS stands for Parallel Small BAseline Subset and it is a DInSAR processing chain for the generation of Earth deformation time series and mean velocity maps. Input: SLC (Level-1) Sentinel-1 data. Output: LOS Displacement time series; Mean LOS Velocity; Temporal Coherence; Average scatterer elevation (Topography). Output Format: CSV. (The service can also generate wrapped and unwrapped interferograms that are delivered in geoTiff format).
EO sources supported:
- Sentinel-1 TOPSAR IW SLC
Output specifications
- (Default) LOS Displacement time series; Mean LOS Velocity; Temporal Coherence; Average scatterer elevation (Topography). Format: CSV.
- (Upon request) Wrapped Interferograms; Unwrapped Interferograms; Spatial coherence; Map of LOS vector. Format: GeoTIFF.
This tutorial describes how to submit a job for the CNR-IREA P-SBAS Sentinel-1 (S1) processing on-demand service to obtain a ground displacement time series from S1 SLAC (Level-1) data. P-SBAS stands for Parallel Small BAseline Subset and it is a DInSAR processing chain for the generation of Earth deformation time series and mean velocity maps The tutorial is addressed to users already familiar with InSAR processing, analysis and products, and gives some hints and recommendation for the best service usage experience.
The provided service performs the full P-SBAS DInSAR chain from SLC data (Level 1) retrieval to displacement time series generation, upon the Multi Temporal Analysis (MTA) processing mode.
The main user actions are the following:
As additional feature, the possibility to generate single or stack of interferograms co-registered to a single master geometry is also available, within the Interferogram Generation (IFG) processing mode.
Users are encouraged to use the P-SBAS DInSAR service here described for scientific purposes. The results (including products, maps, time series, files and everything generated by the processors) of the service are available under the CC-BY license. See “Terms and Conditions” section below for more details. Accordingly, please recognize the effort made by the authors by citing:
Casu, F., Elefante, E., Imperatore, P., Zinno, I., Manunta, M., De Luca, C., Lanari, R. (2014) “SBAS-DInSAR Parallel Processing for Deformation Time Series Computation”, IEEE JSTARS, doi: 10.1109/JSTARS.2014.2322671
De Luca, C., Cuccu, R., Elefante, S., Zinno, I., Manunta, M., Casola, V., Rivolta, G., Lanari, R., Casu, F. (2015) “An On-Demand Web Tool for the Unsupervised Retrieval of Earth’s Surface Deformation from SAR Data: The P-SBAS Service within the ESA G-POD Environment”, Remote Sens. 2015, 7(11), 15630-15650; doi:10.3390/rs71115630
in relevant talks, documents and publications prepared by using P-SBAS DInSAR results generated by this service. CNR-IREA and ESA do not respond in any case for the use, interpretation, and quality of the obtained measurements.
In the following, two service runs related to the two different processing modes (MTA and IFG) are provided.
Input SAR data selection must be carried out with particular care, since a wrong data selection can result to an unfeasible processing.
For this tutorial, a pre-defined data set has been prepared to speed up the data selection step .
In particular:
40.848
14.262
Note
Latitude of the Reference Point and Longitude of the Reference Point are the Latitude and Longitude coordinates (in decimal degrees) of the reference point for the P-SBAS DInSAR measurement. It should be located in a stable area or its deformation behaviour shall be known. In any case, the user shall verify that input Latitude and Longitude coordinates are on land and included within the selected Area of Interest (if any). As a suggestion, urbanized areas are usually well suitable to locate the reference point. The Magic Wand button can be used to automatically fill these fields with the coordinate values of a Marker placed on the map.
Note
If set, the system automatically processes the identified AoI. Format: LL-Lon, LL-Lat, UR-Lon, UR-Lat. The Magic Wand button can be used to automatically fill this field with the bounding coordinate values of a rectangle drawn on the map. Different slices covering the AoI are automatically merged. It is recommended to avoid processing very small areas to allow the system to correctly estimate the co-registration shifts needed by the TOPS mode. The suggested smallest area spans at least 4 S1 bursts, which approximately corresponds to about 80 km along azimuth.
vv
Note
Possible values are: vv, vh, hv, hh. The user shall select the correct polarization according to the selected SLC input data. Default value is vv, being the default S1 polarization for data acquired over land.
MTA
Note
Possible values: MTA (Multi-Temporal Analysis); IFG (Interferogram Generation). Default value is MTA. For IFG description see Section 2.
srtm_1
Note
Possible values are: srtm_1 (1 arcsec SRTM DEM), srtm_3 (3 arcsec SRTM DEM). User is kindly advised to check the EarthExplorer web site for actual data coverage.
200
Note
This is the temporal window width (in days) for the APS filter on the resulting time series.
Download
The P-SBAS DInSAR results are available in the Geobrowser after the processing. Scroll down the right panel and push the “Show results” button. Tutorial results are accessible here.
To download the P-SBAS DInSAR processing results once the Job is completed just click on the Download button in the pop-up window of the identified product:
Note
Single files can be downloaded separately. To download the full result archive, please select the zip file.
Visualization
Time series can be directly visualized via the Geobrowser. After setting a satisfactory zoom, put a Placemark on the pixel for which the time series shold be displayed. Then click the “plot” icon in the TS collection.
A pop-up window should appear showing the Time series of the selected pixel.
Conventions and assumptions
Results are provided in the satellite Line Of Sight (LOS). Positive values indicate that the target moves toward the satellite. Processing results are provided according to the EPOS-IP project specifications along with the corresponding metadata.
Published Results
The main outputs of the MTA mode are the:
Information is organized in a CSV ASCII table according to the following figure.
Provided information consists, per each pixel considered reliable, in:
ID
);Lat
);Lon
);Topo
);Vel
);Coer
);cosN
, cosE
, cosU
);TS
): the length of this field depends on the number of acquisitions used in the time series generation.File name convention is as follows:
SBAS_TS_<FirstAcqDate>_<LastAcqDate>_<UniqueCode>.csv
where:
<FirstAcqDate>
: is the first acquisition of the time series;<LastAcqDate>
: is the last acquisition of the time series.<UniqueCode>
: is a unique code identifier.A typical name sample is: SBAS_TS_20170106_20171120_ME7G.csv
Additional provided outputs are:
Metadata are provided according to the EPOS specifications.
Tag | Example | Notes |
---|---|---|
Data_Type | LOS_DISPLACEMENT_TIMESERIES | Type of data (according to the EPOS categories) |
Title | SBAS_TS_20170106_20171120_ME7G.csv | Title of the pop-up window (it corresponds to the file name) |
Product_format | ASCII | Format of the product (geoTiff or CSV) |
Product_size | 23249970 | In byte |
Product_url | The url to locate the file | |
Bounding_box | The polygon relevant to the processed area | |
License | https://creativecommons.org/licenses/by/4.0 | Applicable license for the product |
User_ID | mapred | User that generated the product |
Software_version | CNR-IREA P-SBAS 25 | |
Applied_algorithm_description | Parallel SBAS Interferometry Chain | Short description of the algorithm used to generate the product |
Main_reference | 10.1109/TGRS.2002.803792 10.1109/JSTARS.2014.232267 | DOIs of the main publications describing the used algorithms |
Date_of_measurement_start | 2017-11-07T02:53:48.378740Z | |
Date_of_measurement_end | 2017-11-19T02:53:48.215234Z | |
Date_of_production | 2017-12-01T23:51:09Z | |
Date_of_publication | 2017-12-01T23:51:09Z | |
Service_used_for_generation | CNR-IREA EPOSAR | |
Geographic_CS_type_code | EPSG4326 | |
Used_DEM | SRTM_3arcsec | DEM used within the interferometri processing |
Super_master_SAR_image_ID | S1A_IW_SLC__1SDV_20171107T025348_20171107T025415_019153_02069A_D2C6.SAFE | Reference SAR geometry |
Master_SAR_image_ID | S1A_IW_SLC__1SDV_20171107T025348_20171107T025415_019153_02069A_D2C6.SAFE | Master Image (only for IFG products) |
Slave_SAR_image_ID | S1A_IW_SLC__1SDV_20171119T025348_20171119T025415_019328_020C14_14AF.SAFE | Slave Image (only for IFG products) |
Perpendicular_baseline | -14.7667 | In meters (only for IFG products) |
Parallel_baseline | -4.35838 | In meters (only for IFG products) |
Along_track_baseline | -0.389812 | In meters (only for IFG products) |
Spatial_resolution | 73 | Ground resolution, in meters |
Sensor | S1 | Used sensor |
Mode | IW | Acquisition mode |
Antenna_side | Right | Right/Left |
Relative_orbit_number | 6 | Satellite Track |
Wavelength | 0.055465760 | In meters |
Number_of_looks_azimuth | 5 | Applied multilook along azimuth |
Number_of_looks_range | 20 | Applied multilook along range |
Number_of_dates | 51 | Number of used acquisitions (only for MTA products) |
Reference_date | 2017-01-06T05:11:09Z | Acquisition used as temporal reference in the time series (only for MTA products) |
Reference_point | 14.323914 40.862183 | Lon Lat format. For MTA and InU products |
Applied_corrections | No_Corrections | Description of possible correction applied to the interferograms or time series |
Applied_filter | Goldstein_0.5 | Possible spatial filter applied to the interferogram |
Input SAR data selection must be carried out with particular care, since a wrong data selection can result to an unfeasible processing.
For this tutorial, a pre-defined data set has been prepared to speed up the data selection step.
In particular:
43.277
13.733
Note
Latitude of the Reference Point and Longitude of the Reference Point are the Latitude and Longitude coordinates (in decimal degrees) of the reference point for the P-SBAS DInSAR measurement. Considerations as in Section 1.3 are valid.
Note
Considerations as in Section 1.3 are valid.
vv
Note
Possible values are: vv, vh, hv, hh. The user shall select the correct polarization according to the selected SLC input data. Default value is vv, being the default S1 polarization for data acquired over land.
IFG
Note
Possible values: MTA (Multi-Temporal Analysis); IFG (Interferogram Generation). Default value is MTA. For MTA description see Section 1.
srtm_1
Note
Possible values are: srtm_1 (1 arcsec SRTM DEM), srtm_3 (3 arcsec SRTM DEM). User is kindly advised to check the EarthExplorer web site for actual data coverage.
Note
This is the temporal window width (in days) for the APS filter on the resulting time series. This parameter is not considered in the IFG mode.
The P-SBAS DInSAR results are available in the Geobrowser after the processing. Scroll down the right panel and push the “Show results” button. Tutorial results are accessible here.
To download the P-SBAS DInSAR processing results once the Job is completed just click on the Download button in the pop-ip window of the identified product:
Conventions and assumptions
Results are provided in the satellite Line Of Sight (LOS). Positive values indicate that the target moves toward the satellite. Processing results are provided according to the EPOS-IP project specifications along with the corresponding metadata.
Published Results
The IFG mode outputs are provided in geoTiff standard and consist in:
The spacing of the output depends on the DEM used for the processing. Results are provided in WGS84 geographic projection.
File name convention is as follows:
<DataType>_<MasterDate>_<SlaveDate>_<UniqueCode>.<FileExtension>
where:
<DataType>
can be: InW
(Wrapped Interferogram), InU
(Unwrapped Interferogram) (this feature will be available in a later release of the service), Coh
(Spatial Coherence);<MasterDate>
date of the Master acquisition in the format <yyyymmdd><SensorCode>
, where <SensorCode>
is a 3-char code that identifies the sensor. For the Sentinel case the possible codes are: S1A and S1B.<SlaveDate>
date of the Slave acquisition in the same <MasterDate>
format;<UniqueCode>
a unique code identifier;<FileExtension>
possible values are:tif
: the actual data in geoTiff;properties
: the metadata displayed in the Geobrowser;metadata
: the full metadata list according to the EPOS specifications;png
: a quick-look raster image;pngw
: the geocoding information for the png image;kmz
: the google format overlay containing the quick-look image;legend.png
: the color bar for the png image.Typical name samples are:
InW_20160821S1A_20160827S1B_7M1E.tif
Coh_20160821S1A_20160827S1B_7M1E.tif
Users are kindly invited to report any issue and problem encountered during the use of the P-SBAS service:
Moreover, suggestions and comments about the GEP service delivery are warmly welcomed on geohazards-tep@esa.int in order to keep the service delivery on GEP as much as possible appealing, effective and efficient.
IPR The Intellectual Property Right (IPR) of the available software, tools and services developed are with CNR-IREA, if not differently specified.
Use CNR-IREA services are available to all the GEP users according to a CC-BY license . The access to CNR-IREA services is free of charge and users are not asked to pay any fee or subscription by CNR-IREA. There is the possibility that users participate to the cost of service maintenance and operation: these costs are defined case-by-case among CNR-IREA, the platform operator and ESA. No cost can be required to users for the CNR-IREA services without the approval of CNR-IREA.
Results The results (including products, maps, time series, files and everything generated by the processors) of the services are available under the CC-BY license .
Warranty and liability CNR-IREA software is a scientific software and it is provided at the best CNR-IREA knowledge according to the SAR interferometry state-of-the-art. No warranty is provided on the processors and services of CNR-IREA. CNR-IREA is not responsible for any software inaccuracies, bugs, errors and misuse. Generated results have a defined accuracy according to the relevant scientific publications available in literature. Result accuracy is estimated on a statistical basis. Provided results are not validated by CNR-IREA and, indeed, it is user responsibility to validate them. CNR-IREA is not responsible for the use, quality, accuracy and interpretation of results and products that are generated by using the processors and services provided within the platform. CNR-IREA is not responsible for the use, quality, accuracy and interpretation of third party results, products and services derived from the use of CNR-IREA’s processors and services. CNR-IREA is not responsible of possible outages of the provided services. CNR-IREA is not responsible of any kind of third party loss derived from service outage, result inaccuracies, software errors of the provided services and products. The maintenance, update and user support are provided by CNR-IREA free of charge and at best effort. CNR-IREA is not responsible for any consequence derived from delays on replies to user requests or support inaccuracies