7.9.1

Author: semiautomaticgit

__init__.py

@@ -42,7 +42,7 @@ def description():
 
 
 def version():
-    return 'Version 7.9.0 - Matera'
+    return 'Version 7.9.1 - Matera'
 
 
 def icon():

core/config.py

@@ -680,7 +680,7 @@
 NoSatellite = 'Band order'
 satGeoEye1 = 'GeoEye-1 [bands 1, 2, 3, 4]'
 satGOES = 'GOES [bands 1, 2, 3, 4, 5, 6]'
-satLandsat8 = 'Landsat 8 OLI [bands 2, 3, 4, 5, 6, 7]'
+satLandsat8 = 'Landsat 8 OLI [bands 1, 2, 3, 4, 5, 6, 7]'
 satLandsat7 = 'Landsat 7 ETM+ [bands 1, 2, 3, 4, 5, 7]'
 satLandsat45 = 'Landsat 4-5 TM [bands 1, 2, 3, 4, 5, 7]'
 satLandsat13 = 'Landsat 1-3 MSS [bands 4, 5, 6, 7]'

docs/repository.xml

@@ -1,9 +1,9 @@
 <?xml version = '1.0' encoding = 'UTF-8'?>
 <plugins>
-    <pyqgis_plugin name="Semi-Automatic Classification Plugin - master" version="7.9.0" plugin_id="284">
+    <pyqgis_plugin name="Semi-Automatic Classification Plugin - master" version="7.9.1" plugin_id="284">
         <description><![CDATA[The Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images.]]></description>
         <about><![CDATA[Developed by Luca Congedo, the Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images. Search and download is available for ASTER, GOES, Landsat, MODIS, Sentinel-1, Sentinel-2, and Sentinel-3 images. Several algorithms are available for the land cover classification. This plugin requires the installation of GDAL, OGR, Numpy, SciPy, and Matplotlib. Some tools require also the installation of SNAP (ESA Sentinel Application Platform). For more information please visit https://fromgistors.blogspot.com .]]></about>
-        <version>7.9.0</version>
+        <version>7.9.1</version>
         <qgis_minimum_version>3.0.0</qgis_minimum_version>
         <qgis_maximum_version>3.99.0</qgis_maximum_version>
         <homepage><![CDATA[https://fromgistors.blogspot.com/p/semi-automatic-classification-plugin.html]]></homepage>

maininterface/landsatTab.py

@@ -283,9 +283,9 @@ def landsat(self, inputDirectory, outputDirectory, batch = 'No', bandSetNumber =
 						e = self.landsat8reflectance(sat, str(nm[len(nm) - 1]), REFLECTANCE_MULT, REFLECTANCE_ADD, RADIANCE_MULT, RADIANCE_ADD, RADIANCE_MAXIMUM, REFLECTANCE_MAXIMUM)
 						# band list
 						if int(nm[len(nm) - 1]) in [1, 2, 3, 4, 5, 6, 7]:
-							bandSetList.append(int(nm[len(nm) - 1]) - 1)
+							bandSetList.append(int(nm[len(nm) - 1]))
 							bandSetNameList.append(oNm)
-							if int(nm[len(nm) - 1]) < 5:
+							if int(nm[len(nm) - 1]) < 5 and int(nm[len(nm) - 1]) > 1:
 								bandPansharpDict[int(nm[len(nm) - 1])] = outputRaster
 								panRasterList.append(panRaster)
 							convInputList.append([inputRaster, e, outputRaster])

metadata.txt

@@ -2,7 +2,7 @@
 name=Semi-Automatic Classification Plugin
 qgisMinimumVersion=3.00
 description=The Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images.
-version=7.9.0
+version=7.9.1
 about=Developed by Luca Congedo, the Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images. Search and download is available for ASTER, GOES, Landsat, MODIS, Sentinel-1, Sentinel-2, and Sentinel-3 images. Several algorithms are available for the land cover classification. This plugin requires the installation of GDAL, OGR, Numpy, SciPy, and Matplotlib. Some tools require also the installation of SNAP (ESA Sentinel Application Platform). For more information please visit https://fromgistors.blogspot.com .
 
 author=Luca Congedo
@@ -14,6 +14,9 @@ icon=semiautomaticclassificationplugin.png
 ; start of optional metadata
 changelog=
 
+	7.9.1
+	-fixed Landsat 8 band 1 band set
+	
 	7.9.0
 	-preprocessing of Landsat and Sentinel-2 bands are now converted to UInt16 with scale 0.00001 to reduce file size
 	-added Landsat 8 band 1 processing