Major Update: Semi-Automatic Classification Plugin v. 5.3.0

This post is about a major update for the Semi-Automatic Classification Plugin for QGIS, version 5.3.0
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Following the changelog:
-added MODIS download and preprocessing tool
-added tool for stacking raster bands
-added MODIS processing and stack bands to Batch tool
-added option to export training input as shapefile
-fixed Sentinel-2 search
-fixed importing spectral signatures
This update includes new tools for downloading and preprocessing MODIS (Moderate Resolution Imaging Spectroradiometer) products.



MODIS is an instrument operating on the Terra and Aqua satellites launched by NASA in 1999 and 2002 respectively.
Search is performed through the CMR Search API developed by NASA.
The following products (Version 6, see https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table) are available for download:
  • MOD09GQ: daily reflectance at 250m spatial resolution from Terra MODIS;
  • MYD09GQ: daily reflectance at 250m spatial resolution from Aqua MODIS;
  • MOD09GA: daily reflectance at 500m spatial resolution from Terra MODIS;
  • MYD09GA: daily reflectance at 500m spatial resolution from Aqua MODIS;
  • MOD09Q1: reflectance at 250m spatial resolution, which is a composite of MOD09GQ (each pixel contains the best possible observation during an 8-day period);
  • MYD09Q1: reflectance at 250m spatial resolution, which is a composite of MYD09GQ (each pixel contains the best possible observation during an 8-day period);
  • MOD09A1: reflectance at 250m spatial resolution, which is a composite of MOD09GA (each pixel contains the best possible observation during an 8-day period);
  • MYD09A1: reflectance at 250m spatial resolution, which is a composite of MYD09GA (each pixel contains the best possible observation during an 8-day period);


MODIS products are retrieved from the online Data Pool, courtesy of the NASA Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/data_access/data_pool.

I have added a tool for stacking raster bands, creating a multiband raster from separate bands; also, added an an option to export training input as shapefile.
I am going to publish several new tutorials in the next few weeks.


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

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