Figure 1: Interferogram Formation Process (without Geocoding/Terrain Correction). Note that the last step should be Phase Filtering the product should not be Geocoded (Terrain Corrected) before unwrapping. D) Pre-Unwrapping Steps This data recipe assumes that you have already generated your interferogram using the Sentinel-1 Toolbox as shown in Figure 1 below and would like to follow the unwrapping process.
Note that the interferogram must include the coherence band in order to be unwrapped. InSAR Data (continuation from InSAR data recipe). SNAPHU Algorithm for Phase Unwrapping (See Step 3 for installation instructions) 4. An option for a Linux operating system is Launching an Amazon EC2 Linux instance through Amazon Web Services (AWS) 2.
Linux or Unix Windows users have several options to access a Linux machine: Establish a virtual machine (VM), install a Linux operating system on the VM, and use it to run the SNAPHU processing portion of the recipe. If you are using a Virtual machine, be sure to partition enough space for the virtual installation. If you encounter an error in the middle of a processing step, it may be because your disk is full. Note: A Solid State Drive will perform significantly faster than a Hard Disk Drive and when processing large files, this will be very advantageous. Consider closing other applications and avoid using the computer while products are processing. B) System Requirements Linux/Unix computing system, or access to a Virtual Linux environment (see Section C) At least 16 GB memory RAM Many of the steps take a very long time to process. After deleting any integer number of altitudes of ambiguity (equivalent to an integer number of 2π phase cycles), the phase variation between two points on the flattened interferogram provides a measurement of the actual altitude variation. Phase unwrapping solves this ambiguity by integrating phase difference between neighboring pixels.
The altitude of ambiguity ha is defined as the altitude difference that generates an interferometric phase change of 2π after interferogram flattening. In order to be able to relate the interferometric phase to the topographic height, the phase must first be unwrapped. The interferometric phase is ambiguous and only known within 2π. The software is publicly available, and should run on most Unix/Linux platforms. In this recipe, we will use SNAPHU, which is a two-dimensional phase unwrapping algorithm developed by Chen and Zebker (see Section H). Phase unwrapping is the most complicated stage of interferometric data processing. Once an interferogram is unwrapped, height values can be derived from the product for use in further processing, such as generating deformation maps or DEMs. It provides instructions for unwrapping the interferogram generated in that recipe. 9 OPTIONAL: Defect Warning and Work-Around G) Post-Unwrapping Steps Step 4: SNAPHU Import Step 5: Geocoding Step 6: Export Data Interferogram Interpretation H) Sample Images I) Extended Reading List July 2019 v.8.1 1Ģ A) Background This data recipe is a continuation from ASF s Sentinel-1 InSAR Processing recipe. 9 Make Output Files Available to S1TBX Processing Environment.
7 Extract the SNAPHU Command from the Configuration File. 3 Step 1: Open Your Interferogram in S1TBX. Preview At the central window, you can preview the magnified subject.1 Sentinel-1 InSAR Phase Unwrapping using S1TBX and SNAPHU Source: Adapted from the European Space Agency s STEP community platform tutorials Document Contents: A) Background.
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