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terrain_util.py
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terrain_util.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import cv2
from osgeo import gdal
from osgeo import osr
dx=0.0
dy=0.0
imax=0
jmax=0
asp=0.0
slp=0.0
coss=0.0
sins=0.0
dd=0.0
# for utm zone54
wkt='PROJCS["WGS 84 / UTM zone 54N",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]],PROJECTION["Transverse_Mercator"],PARAMETER["latitude_of_origin",0],PARAMETER["central_meridian",141],PARAMETER["scale_factor",0.9996],PARAMETER["false_easting",500000],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]],AXIS["Easting",EAST],AXIS["Northing",NORTH],AUTHORITY["EPSG","32654"]]'
def read_tif(fname):
global xs,ye,dx,dy,imax,jmax
src = gdal.Open(fname, gdal.GA_Update)
pdem = src.GetRasterBand(1)
gt = src.GetGeoTransform()
image = pdem.ReadAsArray()
proj = osr.SpatialReference()
proj.ImportFromWkt(src.GetProjectionRef())
wkt=proj.ExportToWkt()
xs=gt[0]
ye=gt[3]
dx=gt[1]
dy=-gt[5]
jmax,imax=image.shape
return image
def write_tif(dname,data):
driver = gdal.GetDriverByName('GTiff')
#wkt_projection=proj.ExportToWkt()
y_pixels,x_pixels=data.shape
dataset = driver.Create(
dname,
x_pixels,
y_pixels,
1,
gdal.GDT_Float32, )
dataset.SetGeoTransform((
xs,
dx,
0,
ye,
0,
-dy))
#dataset.SetProjection(wkt_projection)
dataset.SetProjection(wkt)
dataset.GetRasterBand(1).WriteArray(data)
dataset.FlushCache()
def yama(height,i0,j0,sigma) :
temp=np.zeros([jmax,imax])
for j in range(jmax):
for i in range(imax):
temp[j,i]=height*np.exp(((-(i-i0)**2-(j-j0)**2))/sigma**2)
return temp
def slope(dem):
a=(np.roll(dem,-1,1)-np.roll(dem,1,1))/dx/2
a[:,0]=a[:,1] ; a[:,imax-1]=a[:,imax-2]
b=(np.roll(dem,1,0)-np.roll(dem,-1,0))/dy/2
b[0,:]=b[1,:] ; b[jmax-1,:]=b[jmax-2,:]
return np.sqrt(a**2+b**2)
def orient(dem):
a=(np.roll(dem,-1,1)-np.roll(dem,1,1))/dx/2
a[:,0]=a[:,1] ; a[:,imax-1]=a[:,imax-2]
b=(np.roll(dem,1,0)-np.roll(dem,-1,0))/dy/2
b[0,:]=b[1,:] ; b[jmax-1,:]=b[jmax-2,:]
return (np.arctan2(-a,-b)+2.0*np.pi) % (2.0*np.pi)
def incident(dem,sun_el,sun_az) :
el=np.pi*sun_el/180 ; az=np.pi*sun_az/180
a=(np.roll(dem,-1,1)-np.roll(dem,1,1))/60.0
a[:,0]=a[:,1] ; a[:,imax-1]=a[:,imax-2]
b=(np.roll(dem,1,0)-np.roll(dem,-1,0))/60.0
b[0,:]=b[1,:] ; b[jmax-1,:]=b[jmax-2,:]
temp=-a*np.cos(el)*np.sin(az)-b*np.cos(el)*np.cos(az)+np.sin(el)
return temp/np.sqrt(1+a**2+b**2)
def eangle(image,j,k,m):
if k==m: return 0
else:
z1=image[j,k]
z2=image[j,m]
return (z2-z1)/(m-k)
def suihei(image,flag):
ymax,xmax=image.shape
print ymax,xmax
dview=np.zeros([ymax,xmax],dtype=np.float32)
dline=np.zeros(xmax,dtype=np.int16)
dline[xmax-1]=xmax-1
for j in np.arange(ymax):
if (j % 100) == 0: print j
i = xmax-2
z0 = image[j,i]
while (z0 == 0.0) and (i >= 0) :
dline[i] = i
dview[j,i] = 0
i = i-1
z0 = image[j,i]
while i >= 0:
k = i+1
found = 1
while found == 1:
tmp1 = eangle(image,j,i,k)
m = dline[k]
tmp2 = eangle(image,j,k,m)
if (tmp1 < tmp2) and (m != k): k = m
else:
found = 0
if (tmp1 > tmp2) : dline[i] = k
else: dline[i] = m
if flag >= 1 : dview[j,i] = tmp1/dd
else: dview[j,i]=dline[i]-i
i = i - 1
return dview
def sky(dem,tt,flag):
global imax,jmax
# flag = 0 : distance
# = 1 : slope
# = 2 : sky view factor t0=tt*np.pi/180.0 cosfa=np.cos(t0-asp)
M=cv2.getRotationMatrix2D((imax/2.0,jmax/2.0),tt,1)
xmax=int(1.6*imax)
ymax=int(1.6*jmax) M[0,2]=M[0,2]+0.3*imax
M[1,2]=M[1,2]+0.3*jmax
image = cv2.warpAffine(dem,M,(xmax,ymax))
#return image
dview=suihei(image,flag)
#return dview
M2=cv2.getRotationMatrix2D((xmax/2.0,ymax/2.0),-tt,1)
M2[0,2]=M2[0,2]-0.3*imax-1
M2[1,2]=M2[1,2]-0.3*jmax-1
eview = cv2.warpAffine(dview,M2,(imax,jmax))
if flag < 2: return eview
eview[eview < 0.0] = 0.0
hf=np.pi/2-np.arctan(eview) return coss*np.sin(hf)**2+sins*cosfa*(hf-np.sin(hf)*np.cos(hf))