Major Update: Semi-Automatic Classification Plugin v. 4.8.0 - Download Sentinel Data

This post is about a major update for the Semi-Automatic Classification Plugin for QGIS, version 4.8.0.



Following the changelog:
-added tab for searching and downloading Sentinel-2 images from https://scihub.esa.int/dhus/

This version allows for searching and downloading free Sentinel-2 images from the ESA (European Space Agency) website https://scihub.esa.int/dhus/ .
Sentinel-2 is a new European satellite (read the handbook here), developed in the frame of Copernicus land monitoring services, which acquires 13 spectral bands with the spatial resolution of 10m, 20m and 60m depending on the band (see the following table).


Sentinel-2 Bands
Central Wavelength [micrometers]
Resolution [meters]
Band 1 - Coastal aerosol
0.443
60
Band 2 - Blue
0.490
10
Band 3 - Green
0.560
10
Band 4 - Red
0.665
10
Band 5 - Vegetation Red Edge
0.705
20
Band 6 - Vegetation Red Edge
0.740
20
Band 7 - Vegetation Red Edge
0.783
20
Band 8 - NIR
0.842
10
Band 8B - Vegetation Red Edge
0.865
20
Band 9 - Water vapour
0.945
60
Band 10 - SWIR - Cirrus
1.375
60
Band 11 - SWIR
1.610
20
Band 12 - SWIR
2.190
20

These characteristics are comparable to Landsat images, and should allow for very accurate identification of land cover classes, especially vegetation.
A free registration is required in order to access to ESA data, see https://scihub.esa.int/userguide/1SelfRegistration .

In the SCP interface insert the user name and password and start searching and downloading the images. The search is performed using the Data Hub API.
It is possible to perform queries based on image acquisition date, geographical area, and image ID (name).



Then, it is possible to show an image preview directly in QGIS and download the selected images. Downloaded images (Level-1C) are already in Top-of-atmosphere reflectance values and converted to TIF format.


For the use of these images with SCP, it is recommended the creation of a virtual raster with the highest resolution (i.e. 10m), which can be used as input image in SCP. For general classifications, bands 1, 9, and 10 could be excluded from the band set.

Following a brief video that illustrates these functions.


So, welcome to Sentinel-2!

For any comment or question, join the Facebook group and a Google+ Community about the Semi-Automatic Classification Plugin.

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