import os
import sys
import numpy as np
import geotifflib
import matplotlib.pyplot as plt
import matplotlib
LANDSATDIR = os.path.join(os.getenv("DATA_HOME"),"Imagery/Landsat/Helheim/TIF/")
xtab,ytab,ztab = geotifflib.readrgb(LANDSATDIR+"20140307140010_LC82320132014066LGN00.tif")
xnon,ynon,znon = geotifflib.readrgb(LANDSATDIR+"20140501140530_LC82330132014121LGN00.tif")
xmin = 305000.0
xmax = 314000.0
ymin = -2582500.0
ymax = -2572500.0
plt.figure(figsize=(5,2.9))
gs = matplotlib.gridspec.GridSpec(1,2)
plt.subplot(gs[0])
plt.imshow(ztab,origin='lower',extent=[np.min(xtab),np.max(xtab),np.min(ytab),np.max(ytab)])
plt.xlim([xmin,xmax])
plt.ylim([ymin,ymax])
plt.xticks([])
plt.yticks([])
plt.text(xmin+0.05*(xmax-xmin),ymax-0.08*(ymax-ymin),'a',fontsize=9,fontname='arial',fontweight='bold')
plt.subplot(gs[1])
plt.imshow(znon,origin='lower',extent=[np.min(xnon),np.max(xnon),np.min(ynon),np.max(ynon)])
#
# Laura Kehrl, 10 April 2018
import os
import numpy as np
import cubehelix, matplotlib
import masklib, inverselib, geotifflib, datelib, glaclib, vellib
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
# Cutoff for velocities
velocity_cutoff = 1000 #m/yr
# Image for plotting
imagetime_HG = datelib.date_to_fracyear(2014, 7, 4)
ximage_HG,yimage_HG,image_HG = geotifflib.readrgb(os.path.join(os.getenv("DATA_HOME"),\
"Imagery/Landsat/Helheim/TIF/20140704140535_LC82330132014185LGN00.tif"))
imagetime_KG = datelib.date_to_fracyear(2014, 7, 6)
ximage_KG,yimage_KG,image_KG = geotifflib.readrgb(os.path.join(os.getenv("DATA_HOME"),\
"Imagery/Landsat/Kanger/TIF/20140706135251_LC82310122014187LGN00.tif"))
# Glacier extents for inversions
extent_HG = np.loadtxt('/Users/kehrl/Models/Helheim/3D/INV_SSA_ModelT/' +
'DEM20120316_modelT_Lcurve/inputs/mesh_extent.dat')
hole1_HG = np.loadtxt('/Users/kehrl/Models/Helheim/3D/INV_SSA_ModelT/' +
'DEM20120316_modelT_Lcurve/inputs/mesh_hole1.dat')
hole2_HG = np.loadtxt('/Users/kehrl/Models/Helheim/3D/INV_SSA_ModelT/' +
'DEM20120316_modelT_Lcurve/inputs/mesh_hole2.dat')
extent_KG = np.loadtxt('/Users/kehrl/Models/Kanger/3D/INV_SSA_ModelT/' +
'DEM20120522_modelT_Lcurve/inputs/mesh_extent.dat')
bottom=0.26)
plt.savefig(os.path.join(os.getenv("HOME"),
"Bigtmp/AGU_" + glacier + "_thinning.pdf"),
FORMAT='PDF',
dpi=600)
plt.close()
#######################
# Helheim ungrounding #
#######################
for i in range(0, 2):
if i == 0:
ximage, yimage, image = geotifflib.readrgb(
os.path.join(
os.getenv("DATA_HOME"),
"Mosaics/Helheim/mosaicHelheim.2013-128.148.32713_1-20mgeo.tif"
))
ind = np.argmin(abs(timewv_H - datelib.date_to_fracyear(2013, 5, 8)))
else:
ind = np.argmin(abs(timewv_H - datelib.date_to_fracyear(2014, 1, 27)))
ximage, yimage, image = geotifflib.readrgb(
os.path.join(
os.getenv("DATA_HOME"),
"Mosaics/Helheim/mosaicHelheim.2014-027.148.36721_1-20mgeo.tif"
))
data = zabovefloat_H[:, ind]
fig = plt.figure(figsize=(2.5, 2.5))
matplotlib.rc('font', family='Arial')
ax = plt.gca()