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# GDAL commands to generate hillshade images using the different fused
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# DEMs we've produced in the 60N Canada boundary region.
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#
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# Also included below is a bit of R code to generate a PNG of quick
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# hillshade visuals of two 1-degree wide swaths (one in the more
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# mountainous west, and one in the flatter east) spanning the 60N
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# boundary in Canada, for several different fused layers.
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#
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# Jim Regetz
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# NCEAS
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export DEMDIR=~/media/temp/terrain/dem
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export HSDIR=~/media/temp/terrain/hillshade
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gdaldem hillshade -s 111120 $DEMDIR/fused_300straddle.tif \
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$HSDIR/fused_300straddle_h.tif
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gdaldem hillshade -s 111120 $DEMDIR/fused_300straddle_rampexp.tif \
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$HSDIR/fused_300straddle_rampexp_h.tif
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gdaldem hillshade -s 111120 $DEMDIR/fused_300straddle_predexp.tif \
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$HSDIR/fused_300straddle_predexp_h.tif
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gdaldem hillshade -s 111120 $DEMDIR/fused_300straddle_predgau.tif \
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$HSDIR/fused_300straddle_predgau_h.tif
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gdaldem hillshade -s 111120 $DEMDIR/fused_300straddle_blendgau.tif \
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$HSDIR/fused_300straddle_blendgau_h.tif
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gdaldem hillshade -s 111120 $DEMDIR/fused_300straddle_enblend.tif \
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$HSDIR/fused_300straddle_enblend_h.tif
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# Use R to generate a PDF with some visuals
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echo '
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library(raster)
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hsdir <- "/home/regetz/media/temp/terrain/hillshade"
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h.uncor <- raster(file.path(hsdir, "fused_300straddle_h.tif"))
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h.re <- raster(file.path(hsdir, "fused_300straddle_rampexp_h.tif"))
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h.enblend <- raster(file.path(hsdir, "fused_300straddle_enblend_h.tif"))
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h.bg <- raster(file.path(hsdir, "fused_300straddle_blendgau_h.tif"))
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window1 <- extent(-135, -134, 59.875, 60.125)
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window2 <- extent(-118, -117, 59.875, 60.125)
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png("boundary-hillshade.png", height=10, width=7.5, units="in", res=600)
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par(mfrow=c(4,2), mar=c(2,2,3,0))
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plot(crop(h.uncor, window1), legend=FALSE)
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mtext("Simple fuse (hillshade)", adj=0, cex=0.8)
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plot(crop(h.uncor, window2), legend=FALSE)
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plot(crop(h.re, window1), legend=FALSE)
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mtext("North exponential ramp (hillshade)", adj=0, cex=0.8)
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plot(crop(h.re, window2), legend=FALSE)
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plot(crop(h.enblend, window1), legend=FALSE)
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mtext("Multiresolution spline (hillshade)", adj=0, cex=0.8)
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plot(crop(h.enblend, window2), legend=FALSE)
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plot(crop(h.bg, window1), legend=FALSE)
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mtext("Gaussian weighted average (hillshade)", adj=0, cex=0.8)
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plot(crop(h.bg, window2), legend=FALSE)
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dev.off()
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' | Rscript --vanilla -
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