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

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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