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Automating a Radiometric Terrain Correction Process Chain Using a S1TBX Graph

Source: ASF Staff

  Easier

Radiometric correction removes the misleading influence of topography on backscatter values in synthetic aperture radar (SAR) images. Terrain correction corrects geometric distortions that lead to geolocation errors. The distortions are induced by side-looking (rather than straight-down looking, or nadir) SAR imaging and are compounded by rugged terrain. Terrain correction moves image pixels into the proper spatial relationship with each other. Radiometric terrain correction combines both corrections to produce a superior product for science applications. 

Radiometric Terrain Correction is a fairly standard and straightforward process. The Sentinel-1 Toolbox (S1TBX) offers a graph processing tool (GPT) that can be used to automate the creation of RTC images as well as many other processes. This recipe will go over the steps to create a graph and how to batch process one or more images.

A Sentinel-1 RTC Gamma0_VH band viewed in the S1TBX.
A Sentinel-1 RTC Gamma0_VH band viewed in the S1TBX. Credit: Copernicus
Sentinel data 2017, processed by ESA.


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