This post is about a major update for the Semi-Automatic Classification Plugin for QGIS, version 5.3.0
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This update includes new tools for downloading and preprocessing MODIS (Moderate Resolution Imaging Spectroradiometer) products..
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
-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
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.