7.9.3

Author: semiautomaticgit

__init__.py

@@ -42,7 +42,7 @@ def description():
 
 
 def version():
-    return 'Version 7.9.2 - Matera'
+    return 'Version 7.9.3 - Matera'
 
 
 def icon():

docs/repository.xml

@@ -1,9 +1,9 @@
 <?xml version = '1.0' encoding = 'UTF-8'?>
 <plugins>
-    <pyqgis_plugin name="Semi-Automatic Classification Plugin - master" version="7.9.2" plugin_id="284">
+    <pyqgis_plugin name="Semi-Automatic Classification Plugin - master" version="7.9.3" 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>7.9.2</version>
+        <version>7.9.3</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/clipmultiplerasters.py

@@ -233,6 +233,11 @@ def clipRasters(self, batch = 'No', outputDirectory = None, shapefilePath = None
 				if EPSG.IsSame(rEPSG) != 1:
 					UX1, UY1 = cfg.utls.projectPointCoordinatesOGR(float(UX), float(UY), rEPSG, EPSG)
 					LX1, LY1 = cfg.utls.projectPointCoordinatesOGR(float(LX), float(LY), rEPSG, EPSG)
+				else:
+					UX1 = UX
+					UY1 = UY
+					LX1 = LX
+					LY1 = LY
 				bandNumberList = [1]
 				vrtCheck = cfg.utls.createTempVirtualRaster(bbList, bandNumberList, 'Yes', 'Yes', 0, 'No', 'Yes', [float(UX1), float(UY1), float(LX1), float(LY1)])
 				cfg.utls.GDALCopyRaster(vrtCheck, f, 'GTiff', cfg.rasterCompression, 'LZW')

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=7.9.2
+version=7.9.3
 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=
 
+	7.9.3
+	-fixed clip multiple rasters
+	
 	7.9.2
 	-fixed scale value 0.0001 for Landsat and Sentinel-2