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--- gdal --- use gdal_contour function. documentation here ---- ArcGIS version----- posted before the software was specified Assuming you are using ArcGIS: 1. Convert the GeoTiff into ESRI GRID (esri raster format) using raster to other formats function, or simply import it in arcGIS and use save (export data) and save it as ESRI GRID. 2. use the Contour ...


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Here an example to create one transparent classe. You will use opacity="0.0" parameter: <sld:ColorMap> <sld:ColorMapEntry color="#000000" opacity="0.0" quantity="-999"/> <sld:ColorMapEntry color="#111111" opacity="1.0"quantity="1.0"/> <sld:ColorMapEntry color="#AAAAAA" ...


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The tutorial in the answer posted by Venug uses the Raster > Miscellaneous > Merge functionality. What I don't like about that method is that it requires you to find the files you want to merge in your file system. This can be tedious in a directory with hundreds of files. I prefer to use the Processing tools, which use the layers as inputs. Here I have an ...


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I hope below link will help you to complete the task as you want.. http://www.qgistutorials.com/en/docs/raster_mosaicing_and_clipping.html


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Your raster and your polygon do not overlap. If they do: > r1 = raster(extent(c(107,110,38,40))) > polygon_mus <- extent(c(107, 111, 37, 40)) > cell <- extract(r1, polygon_mus) Then that works. If they don't: > r1 = raster(extent(c(112,114,38,40))) > cell <- extract(r1, polygon_mus) Error in (function (classes, fdef, mtable) : ...


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If you use the latest version of QGIS, it has no problem reading and displaying the tif files. You need to extract the .tif.gz files to .tif in advance using your operating systems tools. Then add the .tif to the canvas: You can extract a subregion with Raster -> Clipper by dragging a rectangle on the screen, or specifying a bounding box in the map ...


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I believe it is possible, but probably not very accurate. Multiple elevations do not have same RGB value if the ramp is continuous and not like having red at both extremes. I would probably start by reducing the number of colors and saving the result into a paletted image by using rgb2pct-py. Then, I would vectorize the paletted version with ...



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