Title: ISCE Docker Tools: Automated Radiometric Terrain Correction and Image Coregistration of UAVSAR MLC Data
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Journal: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
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DOI:
Citation: Kraatz, Simon., Siqueira, Paul., and Rose, Shannon. (2021). ISCE Docker Tools: Automated Radiometric Terrain Correction and Image Coregistration of UAVSAR MLC Data. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IGARSS39084.2020.9324658
Abstract:
In Summer/Fall 2019, the UAVSAR platform was used to collect dense time series over several agricultural and biomass sites in the southeastern US. This data is to be used for developing ecosystem science algorithms for the upcoming NASA-ISRO SAR (NISAR) mission. Development and testing of these algorithms require routine SAR processing steps such as image co-registration and terrain correction. Because the NISAR mission will use the Interferometric Synthetic Aperture Radar (InSAR) Scientific Computing Environment (ISCE) for data processing from Level 0 through Level 2, we focused on developing a new ISCE workflow to facilitate UAVSAR Multi-Looked-Cross Products (MLC) data processing. The workflows are python scripts and can be readily modified according to user needs. They operate in conjunction with a Docker image of ISCE, which allows data processing on any system that supports Docker (https://www.docker.com/). A defining feature of this workflow is that it usually only requires minimal interaction by the user: the user only needs to provide the desired UAVSAR MLC data and run one docker command to initiate the data processing.