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gravity_ski_v2.1.py
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import numpy
import matplotlib.pyplot as plt
import matplotlib.image
import gdal
import osr
import ogr
import psycopg2
import os
import sys
import conn_param
#sys.setrecursionlimit(5000)
# for a pixel p=(x,y) return a list of tuples of the 8 neighbors
def neighborhood(p):
return [(p[0]-1, p[1]-1),\
(p[0]-1, p[1]+0),\
(p[0]-1, p[1]+1),\
(p[0]+0, p[1]+1),\
(p[0]+1, p[1]+1),\
(p[0]+1, p[1]+0),\
(p[0]+1, p[1]-1),\
(p[0]+0, p[1]-1)]
# check if pixel p=(x,y) is in image (boud check)
def in_image(p,w,h):
return p[0]>=0 and p[1]>=0 and p[0]<w and p[1]<h
def detect_down(ref_p, height, threshold, min, target):
new_pt = []
if height[ref_p] > min:
#First tests to see if D8 matrix is inside raster
if ref_p[0] - 1 >= 0:
rmin = ref_p[0] - 1
else:
rmin = 0
if ref_p[0] + 2 <= w:
rmax = ref_p[0] + 2
else:
rmax = w
if ref_p[1] - 1 >= 0:
cmin = ref_p[1] - 1
else:
cmin = 0
if ref_p[1] + 2 <= h:
cmax = ref_p[1] + 2
else:
cmax = h
#D8 comparison level 1
ref_mat = height[rmin:rmax,cmin:cmax]
tmptarget = target[rmin:rmax,cmin:cmax]
tmpsize = tmptarget.shape
targetzero = numpy.zeros((tmpsize[0], tmpsize[1]), numpy.int8)
targetzero = targetzero + 1 * numpy.logical_and(numpy.logical_and((ref_mat - height[ref_p] < 0),tmptarget==0), ref_mat >= min)
# print ref_p, height[ref_p]
# print rmin, rmax, cmin, cmax
# print tmptarget, ref_mat
# print tmpsize
# raw_input()
#Fill target et retrieve new points
for n in numpy.argwhere(targetzero==1):
p = (n[0] + rmin, n[1] + cmin)
target[p] = 1
new_pt.append(p)
tmptarget = tmptarget + targetzero
#First test to see if level 2 D8 matrix is inside raster
for n in numpy.argwhere(tmptarget==0):
p = (n[0] + rmin, n[1] + cmin)
if p[0] - 1 >= 0:
rmin2 = p[0] - 1
else:
rmin2 = 0
if p[0] + 2 <= w:
rmax2 = p[0] + 2
else:
rmax2 = w
if p[1] - 1 >= 0:
cmin2 = p[1] - 1
else:
cmin2 = 0
if p[1] + 2 <= h:
cmax2 = p[1] + 2
else:
cmax2 = h
#D8 comparison level 2
if height[p] <= height[ref_p] + threshold:
ref_mat2 = height[rmin2:rmax2,cmin2:cmax2]
tmptarget2 = target[rmin2:rmax2,cmin2:cmax2]
tmpsize = tmptarget2.shape
targetzero = numpy.zeros((tmpsize[0], tmpsize[1]), numpy.int8)
targetzero = targetzero + 1 * numpy.logical_and(numpy.logical_and((ref_mat2 - height[p] < 0), tmptarget2 == 0), ref_mat2 >= min)
#Fill target and retrieve new points
if 1 in targetzero:
target[p] = 1
for o in numpy.argwhere(targetzero==1):
q = (rmin2 + o[0], cmin2 + o[1])
target[q] = 1
new_pt.append(q)
return new_pt
def detect_up(ref_p, height, threshold, max, target):
new_pt = []
if height[ref_p] < max:
#First tests to see if D8 matrix is inside raster
if ref_p[0] - 1 >= 0:
rmin = ref_p[0] - 1
else:
rmin = 0
if ref_p[0] + 2 <= w:
rmax = ref_p[0] + 2
else:
rmax = w
if ref_p[1] - 1 >= 0:
cmin = ref_p[1] - 1
else:
cmin = 0
if ref_p[1] + 2 <= h:
cmax = ref_p[1] + 2
else:
cmax = h
#D8 comparison level 1
ref_mat = height[rmin:rmax,cmin:cmax]
tmptarget = target[rmin:rmax,cmin:cmax]
tmpsize = tmptarget.shape
targetzero = numpy.zeros((tmpsize[0], tmpsize[1]), numpy.int8)
targetzero = targetzero + 1 * numpy.logical_and(numpy.logical_and((ref_mat - height[ref_p] > 0),tmptarget==0), ref_mat <= max)
# print ref_p, height[ref_p]
# print rmin, rmax, cmin, cmax
# print tmptarget, ref_mat
# print tmpsize
# raw_input()
#Fill target et retrieve new points
for n in numpy.argwhere(targetzero==1):
p = (n[0] + rmin, n[1] + cmin)
target[p] = 1
new_pt.append(p)
tmptarget = tmptarget + targetzero
#First test to see if level 2 D8 matrix is inside raster
for n in numpy.argwhere(tmptarget==0):
p = (n[0] + rmin, n[1] + cmin)
if p[0] - 1 >= 0:
rmin2 = p[0] - 1
else:
rmin2 = 0
if p[0] + 2 <= w:
rmax2 = p[0] + 2
else:
rmax2 = w
if p[1] - 1 >= 0:
cmin2 = p[1] - 1
else:
cmin2 = 0
if p[1] + 2 <= h:
cmax2 = p[1] + 2
else:
cmax2 = h
#D8 comparison level 2
if height[p] >= height[ref_p] - threshold:
ref_mat2 = height[rmin2:rmax2,cmin2:cmax2]
tmptarget2 = target[rmin2:rmax2,cmin2:cmax2]
tmpsize = tmptarget2.shape
targetzero = numpy.zeros((tmpsize[0], tmpsize[1]), numpy.int8)
targetzero = targetzero + 1 * numpy.logical_and(numpy.logical_and((ref_mat2 - height[p] > 0), tmptarget2 == 0), ref_mat2 <= max)
#Fill target and retrieve new points
if 1 in targetzero:
target[p] = 1
for o in numpy.argwhere(targetzero==1):
q = (rmin2 + o[0], cmin2 + o[1])
target[q] = 1
new_pt.append(q)
return new_pt
def ski_slope_down(ref_p, height, threshold, min, target):
np = detect_down(ref_p, height, threshold, min, target)
for p in np:
ski_slope_down(p, height, threshold, min, target)
def ski_slope_up(ref_p, height, threshold, max, target):
np = detect_up(ref_p, height, threshold, max, target)
for p in np:
ski_slope_up(p, height, threshold, max, target)
'''
test = numpy.array([(100,99,100,102,102), (102,102,98, 103, 103), (100,95,96,97,100), (94,95,96,97,98), (100,100,95,100,100)])
w,h=test.shape
testnew = numpy.zeros((w, h)).astype(numpy.bool)
sp=(0,2)
testnew[sp]=1
ski_slope_down(sp, test,2,90, testnew)
print test
print testnew
'''
# load complete raster
img = gdal.Open('C:\ds_test_data\ign_mnt25_alpes.tif')
band1 = img.GetRasterBand(1)
rastinit = img.GetGeoTransform()
#x,y geographic reference matrix
imgx=numpy.zeros((1,img.RasterXSize)).astype(numpy.float)
imgy=numpy.zeros((img.RasterYSize,1)).astype(numpy.float)
for i in range(0,imgx.shape[1]):
imgx[0,i]=rastinit[0]+(i*rastinit[1])
for i in range(0,imgy.shape[0]):
imgy[i,0]=rastinit[3]+(i*rastinit[5])
#create final shapefile
driver = ogr.GetDriverByName('ESRI Shapefile')
if os.path.exists('ds_gravitaires.shp'):
driver.DeleteDataSource('ds_gravitaires.shp')
skiarea = driver.CreateDataSource('ds_gravitaires.shp')
srs = osr.SpatialReference()
srs.ImportFromEPSG(2154)
ds = skiarea.CreateLayer('ds_gravitaires', srs)
ds.CreateField(ogr.FieldDefn('ind', ogr.OFTString))
#Connect to DB
myconn = psycopg2.connect("host="+conn_param.host+" dbname="+conn_param.dbname+" user="+conn_param.user+" password="+conn_param.password)
#load resorts extent
resort=myconn.cursor()
resort.execute("""
with a as (
select indicatif_station, st_buffer(st_envelope(st_union(the_geom)),2000, 'endcap=square') geom
from stations.geo_rm_sta_alpes_ind
group by indicatif_station
)
select indicatif_station, st_xmin(geom) xmin, st_ymin(geom), st_xmax(geom) xmax, st_ymax(geom) ymax
from a
where indicatif_station in ('3811')
order by indicatif_station;""")
for sta in resort:
print sta[0]
for i in range(0,imgx.shape[1]):
if sta[1]-imgx[0,i]>0 and sta[1]-imgx[0,i+1]<0:
mincol = i
if sta[3]-imgx[0,i]>0 and sta[1]-imgx[0,i+1]<0:
maxcol = i
for i in range(0,imgy.shape[0]):
if imgy[i,0]-sta[4]>0 and imgy[i+1,0]-sta[4]<0:
minrow = i
if imgy[i,0]-sta[2]>0 and imgy[i+1,0]-sta[2]<0:
maxrow = i
height = band1.ReadAsArray(mincol, minrow, maxcol-mincol, maxrow-minrow)
# get width and heigth of image
w,h = height.shape
print "raster extracted"
print w, h
#raw_input()
# load starting points
cur=myconn.cursor()
query = """
select gid, indicatif_station,
st_x(st_startpoint(the_geom)) as sx, st_y(st_startpoint(the_geom)) as sy,
st_x(st_endpoint(the_geom)) as ex, st_y(st_endpoint(the_geom)) as ey
from stations.geo_rm_sta_alpes_ind
where indicatif_station = %s
order by gid;"""
ind = sta[0]
#print ind
cur.execute(query, (ind,))
#sort top and bottom points
pth = []
ptb = []
for rm in cur:
for i in range(0,imgx.shape[1]):
if rm[2]-imgx[0,i]>0 and rm[2]-imgx[0,i+1]<0:
scol = i-mincol
if rm[4]-imgx[0,i]>0 and rm[4]-imgx[0,i+1]<0:
ecol = i-mincol
for i in range(0,imgy.shape[0]):
if imgy[i,0]-rm[3]>0 and imgy[i+1,0]-rm[3]<0:
srow = i -minrow
if imgy[i,0]-rm[5]>0 and imgy[i+1,0]-rm[5]<0:
erow = i-minrow
sp = (srow, scol)
ep = (erow, ecol)
if in_image(sp, w, h) and in_image(ep, w, h):
if height[sp] > height[ep]:
pth.append(sp)
ptb.append(ep)
else:
pth.append(ep)
ptb.append(sp)
else:
print "decoupage tout pourri"
#get min and max of ski area
hb = []
for p in ptb:
hb.append(height[p])
minh = min(hb)
hh = []
for p in pth:
hh.append(height[p])
maxh = max(hh)
print "points sorted"
threshold = 5 # allow for sligth descent from bottom or ascent from top
# initialise result image where pixels in domain will be tagged to True
fromtop=numpy.zeros((w, h)).astype(numpy.int)
frombot=numpy.zeros((w, h)).astype(numpy.int)
#ski area computation
count=0
for p in pth:
ski_slope_down(p, height, threshold, minh, fromtop)
print "down done"
#raw_input()
for p in ptb:
ski_slope_up(p, height, threshold, maxh, frombot)
ski_area=frombot*fromtop
#create raster from ski_area array
driver = gdal.GetDriverByName("GTiff")
skirast = driver.Create('test.tif', maxcol-mincol, maxrow-minrow, 1, gdal.GDT_Byte)
skirast.SetGeoTransform((imgx[(0,mincol)], rastinit[1], 0, imgy[(minrow,0)], 0, rastinit[5]))
srs = osr.SpatialReference()
srs.ImportFromEPSG(2154)
skirast.SetProjection(srs.ExportToWkt())
skirast.GetRasterBand(1).WriteArray(ski_area)
print "raster saved"
#create tmp shapefile for poligonyzation
driver = ogr.GetDriverByName('ESRI Shapefile')
if os.path.exists('tmp.shp'):
driver.DeleteDataSource('tmp.shp')
tmpshp = driver.CreateDataSource('tmp.shp')
tmplayer = tmpshp.CreateLayer('tmp', srs)
tmplayer.CreateField(ogr.FieldDefn("val", ogr.OFTInteger))
gdal.Polygonize(skirast.GetRasterBand(1), None, tmplayer, 0, [], None)
skirast = None
tmplayer.SetAttributeFilter("val = 1")
defn = ds.GetLayerDefn()
newds = ogr.Feature(defn)
newds.SetField('ind', sta[0])
i=0
if tmplayer.GetFeatureCount()>1:
end=tmplayer.GetFeatureCount()
newgeom = "MULTIPOLYGON ("
for feat in tmplayer:
i=i+1
geom = feat.GetGeometryRef()
geomwkt=geom.ExportToWkt()
if i==1:
newgeom = newgeom+"("+geomwkt[9:len(geomwkt)-1]+")"
else:
newgeom = newgeom+", ("+geomwkt[9:len(geomwkt)-1]+")"
newgeom = newgeom+")"
#print newgeom
geom = ogr.CreateGeometryFromWkt(newgeom)
else:
for feat in tmplayer:
geom = feat.GetGeometryRef()
newds.SetGeometry(geom)
ds.CreateFeature(newds)
tmpshp = None
# display result
plt.imshow(ski_area*height)
for i in range(0,len(pth)):
plt.plot(pth[i][1], pth[i][0], 'ro', c='b')
plt.plot(ptb[i][1], ptb[i][0], 'ro', c='r')
plt.plot([pth[i][1], ptb[i][1]], [pth[i][0], ptb[i][0]],'-')
plt.show()