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The original PNG apparently has your monitor's display color profile embedded in it, which is non-gray-balanced. Since QGIS cannot accurately interpret the icc profile's whitepoint (see the warning in the second line of your gdal output,) it clipping the red channel to 0 with that visible result. If you have access to Photoshop, open the PNG, use ...


http://qgis.org/api/2.2/classQgsSymbolV2.html#aa2c7db61d4234bddf3aa62f294ad6818 void QgsSymbolV2::setColor(const QColor & color) with python: myColour = QtGui.QColor('#ffee00') mySymbol1 = QgsSymbolV2.defaultSymbol(myVectorLayer.geometryType()) mySymbol1.setColor(myColour)


Welcome to the site Janos. Ideally answers such as yours should have a description as to why they are good methods. .. For pansharpening of Landsat 8 pictures the easier method the http://www.geosage.com/highview/download.html. My advise, try it. Only one click....


For pansharpenig I used GUI spectral transformer for Landsat 8 pictures http://www.geosage.com/highview/download.html Very good. BR Janos


RGB and CMYK are both device dependent color models; that is, they represent colors via numbers and thus the appearance will vary with each device's interpretation of those numbers. The same values may appear different on different monitors or printers. For this reason there are various profiles even within the same color space. All displays (ok, almost ...


If you have an RGB map, you can use the pansharpening option in the symbology (RGB composite) of your RGB, selecting the Hillshade instead of a panchromatic image.

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