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There's a QGIS tutorial "Wildfire Monitoring Using The Semi-Automatic Classification Plugin" that seems to cover downloading as well as the necessary analysis steps. I haven't tried it myself but it should be a starting point.


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In the shell: cd /path/to/script/directory vi script_file_name In vi: :%s/XXXX/your_password/ :%s/XXX/your_login_name/ :wq In the shell: ./script_file_name


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Note the difference between band rendering done by QGIS and the actual raster extent and values. The values of your raster remain the same, regardless of the band rendering (Multicolor band, Singleband gray, Paletted unique/values) you select in Layer properties. If you take your original layer (i.e. HDF4_EOS:EOS_GRID:"MCD19A2.A2018312.h24v06.006....


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This is an R solution (not ArcGIS) but for reference I though that I would go ahead and post this code soultion. You can parse the value(s) for a given bit(s) based on the 8-bit integer values of the QC raster. Quality flags are stored in each bit, or combination of bits and stored as an integer. For example the bit values for 100 are "0 1 1 0 0 1 0 0" (...


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