Extract data from USACE WCS Service


In [1]:
from owslib.wcs import WebCoverageService
import numpy as np
import numpy.ma as ma
#endpoint='http://gis.sam.usace.army.mil/server/services/JALBTCX/NCMP_BareEarth_1m/ImageServer/WCSServer?request=GetCapabilities&service=WCS'
endpoint='http://gis.sam.usace.army.mil/server/services/JALBTCX/NCMP_2005_MA_BareEarth_1m/ImageServer/WCSServer?request=GetCapabilities&service=WCS'

In [2]:
wcs = WebCoverageService(endpoint,version='1.0.0',timeout=60)

In [3]:
for k,v in wcs.contents.iteritems():
    print v.title


C042_NCMP_2005_MA_BareEarth_1m_1

In [4]:
wcs.contents


Out[4]:
{'1': <owslib.coverage.wcs100.ContentMetadata at 0x7fa1e4f18690>}

In [5]:
lidar = wcs['1']
print lidar.title
print lidar.boundingBoxWGS84
print lidar.timelimits
print lidar.supportedFormats


C042_NCMP_2005_MA_BareEarth_1m_1
(-70.83917735864401, 42.676077054767, -70.74277107164401, 42.872534223767)
[]
[]

In [6]:
# try Plum Island Sound Region
bbox = (-70.825,42.671,-70.7526,42.762)
output = wcs.getCoverage(identifier="1",bbox=bbox,crs='EPSG:4326',format='GeoTIFF',
                         resx=0.0001, resy=0.0001)

In [7]:
f=open('test.tif','wb')
f.write(output.read())
f.close()

In [8]:
from osgeo import gdal
gdal.UseExceptions()

In [9]:
ds = gdal.Open('test.tif')

In [10]:
band = ds.GetRasterBand(1)
elevation = band.ReadAsArray()
nrows, ncols = elevation.shape

# I'm making the assumption that the image isn't rotated/skewed/etc. 
# This is not the correct method in general, but let's ignore that for now
# If dxdy or dydx aren't 0, then this will be incorrect
x0, dx, dxdy, y0, dydx, dy = ds.GetGeoTransform()

if dxdy == 0.0:
    x1 = x0 + dx * ncols
    y1 = y0 + dy * nrows

In [11]:
import cartopy.crs as ccrs
from cartopy.io.img_tiles import MapQuestOpenAerial, MapQuestOSM, OSM

In [12]:
print x0,x1,y1,y0


-70.825 -70.7526 42.671 42.762

In [13]:
elevation=ma.masked_equal(elevation,0)

In [14]:
plt.figure(figsize=(8,10))
ax = plt.axes(projection=ccrs.PlateCarree())
tiler = MapQuestOpenAerial()
ax.add_image(tiler, 14)
plt.imshow(elevation, cmap='jet', extent=[x0, x1, y1, y0],
           transform=ccrs.PlateCarree(),alpha=0.6,zorder=2);
ax.gridlines(draw_labels=True,zorder=3);