Developing the new Semi-Automatic Classification Plugin 7: Sentinel-1 download and preprocessing

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I'm continuing the development of the new version 7 of the Semi-Automatic Classification Plugin (SCP) for QGIS.

In this post I'll briefly describe the download and processing of Sentinel-1 GRD images in SCP.

Synthetic Aperture Radar (SAR) is a technique of active remote sensing that is the sensor platform emits microwaves in order to acquire images of the ground (
ESA, 2020​
). In fact, the sensor platform emits the radiation (at a specific wavelength) and measures the magnitude and the phase of radiation that bounces back from the ground to the sensor.

Sentinel-1 is a Copernicus mission of satellites that operate at C-band to provide SAR imagery at medium resolution (about 10m).

The Sentinel-1 constellation provides high revisit time (about 5 days), a wide swath (250 km), and acquires images in different operational modes.
Ground Range Detected (GRD, Level-1 data with multi-looked intensity only) is a product systematically delivered by Copernicus. Sentinel-1 supports dual polarization, which are horizontal (H) or vertical (V); VV and VH polarimetric channels are available to classify and analyse land cover such as built-up areas or vegetation.

SCP will include the search and download of Sentinel-1 GRD images, in the same interface that allows for the download of other satellite images, such as Sentinel-2 and Landsat and more.

Sentinel-1 download​
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