An Automated Structure for Acquiring and Processing Sentinel-1 Data and its Applicability for Coastal Studies


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The present work develops an automated structure to search, download and pre process Synthetic Aperture RADAR imagery acquired by the Sentinel-1 mission. A Python script defines the area and time of interest, performs the search for relevant products and download them using the Application Program Interfaces Hub of the Sentinels Scientific Data Hub. The preprocessing steps are performed using the Graph Processing Tool, which allows for a batch-mode execution of the Sentinel-1 Toolbox operators. Both steps are combined in a Bash program that performs the entire chain daily, without the need of users interaction. We demonstrate applicabilities of the processed data for coastal studies of the Rio Grande do Sul state. The structure is built aiming to 1) increase the usage of the open-access Sentinel-1 SAR data by reducing the processing time and 2) further develop automated detection systems for targets such as oil spills, ships and flooded areas.



Edited by:

Antonio F. Miguel, Luiz Alberto Oliveira Rocha and Prof. Andreas Öchsner






J. Costi et al., "An Automated Structure for Acquiring and Processing Sentinel-1 Data and its Applicability for Coastal Studies", Defect and Diffusion Forum, Vol. 372, pp. 122-131, 2016

Online since:

March 2017




* - Corresponding Author

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