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|TanDEM-X Science Service System|
|Title||Individual buildings monitoring processing High Resolution SAR acquisition by means of PSInSAR.|
|Investigator||Bianchi, Marco - Tele-Rilevamento Europa - T.R.E. s.r.l., N/A|
Objectives - Availability of time and space high resolution TerraSAR-X acquisitions encourages the investigation in the field of PSInSAR™ application in case of urbanized area for individual building monitoring. The aim of the project is the estimation of displacement average rate and time series of Permanent Scatterers over the city of Venice (Italy) combining the progresses given by TerraSAR-X imagery and last enhancements in the PSInSAR™ processing chain. The foreseen high density of measurement points, the more accurate geocoding process as well as the higher precision in displacement measurements will provide a more reliable PS map for a detailed monitoring of building stability.
Method - The following steps will be developed: PSInSAR™ is applied to High Resolution TerraSAR-X ascending and descending datastacks; evaluation of Easting and Vertical components is retrieved from ascending and descending results; visualization of results on GIS system or GoogleEarth™ system. Data interpretation; results evaluation from the user point of view. Action plan for future development
Data requirements - Ascending and Descending Spot Light data over Venice are required
Deliverables Technical Report, containing methodology and results description and user’s point of view, will be provided in PDF format. Velocity maps of the area of Venice will be provided both in Tiff and in kml format.
Funding - The project is self-financed by TRE. The requirement is limited to the provision of TerraSAR-X data
|Final Report||SqueeSAR™ analysis of Venice led to the identification of more than 2.400.000 total measurement points, with a point density of 260.000 PS/ km2, considering all the three datasets in the area of interest not-covered by sea (9 km2). The distribution of PS within the study area is homogeneous: the point density is excellent in correspondence with the city of Venice, Murano, San Michele, S.Giorgio Maggiore, La Giudecca islands. In particular: SqueeSAR™ analysis of TerraSAR-X SM006 descending data identified 373.167 measurement points, with a density of 31.000 PS/km2. For each point, the average rate of deformation and time history of movements were estimated. SqueeSAR™ analysis of TerraSAR-X HS046 ascending data identified 1.127.659 measurement points, with a density of 125.000 PS/km2. For each point, the average rate of deformation and time history of movements were estimated. SqueeSAR™ analysis of TerraSAR-X HS014 ascending data have identified 910.128 measurement points, with a density of 100.000 PS/km2. For each point, the average rate of deformation and time history of movements were estimated. The following paragraphs show the results obtained for each dataset: velocity map , point elevation map and standard deviation correlated. Regarding the velocity measurements it’s important to remind that SqueeSAR™ is a differential technique. The velocities of all PS are relative to the reference point, which is shown in the velocity field figure and is assumed to be motionless. The reference points was selected without a priori information and is located in the centre of the city. The assumption of stability of the reference points should be confirmed and, if it is found to be unstable, the data can be reprocessed using a different reference point. The coloured markers, superimposed on the satellite image from Microsoft Virtual Earth, ©2009 Microsoft Corporation, in each velocity field maps correspond to the measurement points identified in the AOI: positive values of the measured displacements indicate movement towards the satellite along its line of sight, while negative values indicate movement away from the sensor. For each point precise differential measurements have been carried out and displacement time series have been produced (see also Appendix 1: The PSInSAR™ ). Knowing the elevation of a PS helps to identify whether the PS is on the top of a building or at ground level and can help to clarify topographic anomalies where ground movement is significant. All the following figures have as background the satellite image from Microsoft Virtual Earth, ©2009 Microsoft Corporation. Please note that all results are generated in GCS WGS84.|
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