# Read SRTM3 file and create shaded relief  # 2010-04-05  from struct import unpack,calcsize  from numpy import * import numpy as np from PIL import Image  row_length = 1201	# row_length is 1201 for SRTM3 or 3601 for SRTM1 file_name  = "N40E014.hgt"	# from http://dds.cr.usgs.gov/srtm/version2_1/SRTM3/Eurasia/ hlim       = 800	# height limit for map [m]  ref_lat    = 40.55	# reference latitude earth_eq   = 6371. * 1000. * 2. * pi x_scale    = 1./360.*earth_eq*cos(ref_lat/180.*pi)/row_length y_scale    = 1./360.*earth_eq/row_length  print "1 pixel = %u * %u m" % (x_scale, y_scale) print "factor", y_scale/x_scale  h = zeros((row_length, row_length)) f = open(file_name, 'r') li = []  for j in range(row_length): 	for i in range(row_length): 		d = f.read(2) 		(height,) = unpack('>h', d) 		h[i,j] = height 		if height < -1000: 			li.append((i,j))  hmax = h.max() h3 = zeros_like(h) h3[:,:] = h[:,:] print len(li), "missing data points"  def get_nei(z): 	h2 = h[z[0]-1:z[0]+2,z[1]-1:z[1]+2] 	nn = sum(where(h2 < -1000, 0, 1)) 	av = sum(where(h2 > -1000, h2, 0)) / float(nn) 	return nn, av  # fill missing points with a nearest-neighbor averaging method: loop = len(li) lim = 7 while loop > 0: 	sd = False 	for q in range(len(li)): 		if h[li[q]] > -1000.: continue 		n, a = get_nei(li[q]) 		if n >= lim: 			print li[q],loop, n, a, lim 			h3[li[q]] = a 			loop -= 1 			sd = True 	if not sd: lim -= 1 	h[:,:] = h3[:,:] print "missing points done"	  def hext(a): 	"Hex color to triplet." 	r,g,b = a[0:2], a[2:4], a[4:6] 	return int(r, 16), int(g, 16), int(b, 16)  # from http://en.wikipedia.org/wiki/Wikipedia:WikiProject_Maps/Conventions/Topographic_maps: col_sea = hext("0978ab") cols = """ {{Mapcolor|r=245|v=244|b=242|hex=#F5F4F2|col=black}} {{Mapcolor|r=224|v=222|b=216|hex=#E0DED8|col=black}} {{Mapcolor|r=202|v=195|b=184|hex=#CAC3B8|col=black}} {{Mapcolor|r=186|v=174|b=154|hex=#BAAE9A|col=black}} {{Mapcolor|r=172|v=154|b=124|hex=#AC9A7C|col=black}} {{Mapcolor|r=170|v=135|b=83|hex=#AA8753|col=black}} {{Mapcolor|r=185|v=152|b=90|hex=#B9985A|col=black}} {{Mapcolor|r=195|v=167|b=107|hex=#C3A76B|col=black}} {{Mapcolor|r=202|v=185|b=130|hex=#CAB982|col=black}} {{Mapcolor|r=211|v=202|b=157|hex=#D3CA9D|col=black}} {{Mapcolor|r=222|v=214|b=163|hex=#DED6A3|col=black}} {{Mapcolor|r=232|v=225|b=182|hex=#E8E1B6|col=black}} {{Mapcolor|r=239|v=235|b=192|hex=#EFEBC0|col=black}} {{Mapcolor|r=225|v=228|b=181|hex=#E1E4B5|col=black}} {{Mapcolor|r=209|v=215|b=171|hex=#D1D7AB|col=black}} {{Mapcolor|r=189|v=204|b=150|hex=#BDCC96|col=black}} {{Mapcolor|r=168|v=198|b=143|hex=#A8C68F|col=black}} {{Mapcolor|r=148|v=191|b=139|hex=#94BF8B|col=black}} {{Mapcolor|r=172|v=208|b=165|hex=#ACD0A5|col=black}} """ col = []  for l in cols.splitlines(): 	if len(l) < 10: continue 	i = l.find('#') 	if i > -1: 		col.append(hext(l[i+1:i+7]))  col.reverse()	# -> bottom to top  o = Image.new('RGB', h.shape)  def interp(c, f): 	"Interpolate into color table." 	r = int((1.-f) * col[c][0] + f * col[c+1][0]) 	g = int((1.-f) * col[c][1] + f * col[c+1][1]) 	b = int((1.-f) * col[c][2] + f * col[c+1][2]) 	return r,g,b  for j in range(row_length): 	for i in range(row_length): 		c, f = divmod(h[j,i] / hmax * (len(col)-1), 1) 		if 0 < h[j,i] < hmax: 			o.putpixel((j,i), interp(int(c), f)) 		elif h[i,j] == hmax: 			o.putpixel((j,i), col[-1]) 		else: o.putpixel((j,i), col_sea)  o.save("map_height.png")	# save height map o2 = o.crop((0,0,942,603)) o2.save("map_height_cropped.png")  # taken from hillshade.py: #def illumination(idata,azdeg=315.0,altdeg=45.): def illumination(idata,azdeg=225.0,altdeg=45.):     # convert alt, az to radians     az = azdeg*np.pi/180.0     alt = altdeg*np.pi/180.0     # gradient in x and y directions     dx, dy = np.gradient(idata)     slope = 0.5*np.pi - np.arctan(np.hypot(dx, dy))     aspect = np.arctan2(dx, dy)     odata = np.sin(alt)*np.sin(slope) + np.cos(alt)*np.cos(slope)*np.cos(-az -\              aspect - 0.5*np.pi)     # rescale to interval -1,1     # 1 means maximum sun exposure and 0 means complete shade.     odata = (odata - odata.min())/(odata.max() - odata.min())     return odata  il = 255 * illumination(h)  o4 = Image.new('RGBA', il.shape) for j in range(row_length-1): 	for i in range(row_length-1): 		v = int(il[j,i]) 		if 0 <= v < 128: 			alpha = (255 - 2*v) 			o4.putpixel((j,i), (0,0,0,alpha)) 		elif v == 128: 			o4.putpixel((j,i), (0,0,0,0)) 		elif 128 < v < 256: 			alpha = 2*(v-128) 			o4.putpixel((j,i), (255,255,255,alpha)) 		else: 			o4.putpixel((j,i), (255,255,255,0)) o4.save("il_NW_alpha.png")	# NW-illuminated (alpha transparency for use with Inkscape)