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the gdal driver (used by QGIS) supports eight, sixteen and thirty-two bit integer raster data types as well as 32 bit floating points for conversion to bil. based on the error message, your tiff data seems to be 64 bit (double) type, which is not supported. You could try to change the pixel depth before converting to .bil


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A solution to this is discussed on the ESRI forum here: Every planar surface has a simple formula, Jesse, in the form (something)*x + (something else)*y + (constant). In the Raster Calculator, x is $$XMap and y is $$YMap. The trick is figuring out the coefficients. Often you want to specify a plane in terms of its slope (s), aspect (a), ...


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You can't get elevation from Orthorectified photography. To get elevation data from airphotos you need special photos, hardware and software: Photos: Sterio pairs, a set of overlapping images with an accompanying file detailing the location of the aircraft at the time of capture (x,y and z). Hardware: 3d monitor, with glasses. Nowdays you can get cheap 3d ...


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To do this you would need a 3d Analyst and Spatial Analyst license. First, elevate your waterbody using Interpolate Shape, this will give the baseline for your elevations by attributing the polygon with the Z values from the DEM to each vertex. Build a terrain with your waterbodies as the elevation data source (perhaps buffer by a small amount and include ...


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It is handled by an esri geoprocessing service, which it is recommended that you update from the old service. The details page mentions plenty of good reference information.


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Constructing lidar DEMs from unclassified point clouds with: MCC-LiDAR using the Multiscale Curvature Classification (MCC) algorithm. MCC-LIDAR is a command-line tool for processing discrete-return LIDAR data in forested environments" (Evans & Hudak, 2007). Workflow illustration (gross cloud --> ground returns classified --> bare-earth DEM): ...


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Use Get Raster Properties, specifically the MINIMUM and MAXIMUM values. In theory, this code should make a temporary raster layer using the display extent -- although I have not tested it, and am not sure whether it will work -- and then the raster properties tool will apply to only the raster currently shown in the display. import arcpy arcpy.env.extent ...


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There are a few posts on the possible source of the striping that are too long to copy here and post, for example https://geonet.esri.com/message/248734?sr=search&searchId=8194652f-cac8-4737-93a2-c5dccdeb29ff&searchIndex=5#248734 http://ned.usgs.gov/about.html http://www.ctmap.com/assets/pdfprojects/destripe.pdf Some of the issues are associated ...


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Try using this, http://resources.arcgis.com/en/help/main/10.1/index.html#//0017000000m3000000 Turn the current data frame extent to a polygon via this extent = inFeature.extent extentPoly = drive + "\\NCT_GIS\\Projects\\Temp\\extentPoly.shp" # Array to hold points array = arcpy.Array() # Create the bounding box ...


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As others have suggested, reproject to something with a linear measurement. But be sure to use BILINEAR interpolation (not the default of Nearest Neighbor). This should avoid the grid-like artifacts that stem from resampling patterns (you may notice that if you do multiple reprojections and change the cell size among them, you can get the cross-hatching to ...



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