/
10_percent_scale_plot.py
342 lines (303 loc) · 12.9 KB
/
10_percent_scale_plot.py
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# -*- coding: utf-8 -*-
"""
Created on Fri Sep 02 12:42:23 2016
@author: dan
"""
from mpl_toolkits.basemap import Basemap
from mpl_toolkits.axes_grid1 import make_axes_locatable
import gdal
import matplotlib.pyplot as plt
import numpy as np
import pyproj
tex_raster = r"C:\workspace\Merged_SS\window_analysis\10_percent_shift\raster\tex_50_rasterclipped.tif"
ds = gdal.Open(tex_raster)
tex_data_50 = ds.GetRasterBand(1).ReadAsArray()
tex_data_50 = tex_data_50*50
tex_data_50[tex_data_50<=0] = np.nan
gt = ds.GetGeoTransform()
proj = ds.GetProjection()
xres = gt[1]
yres = gt[5]
# get the edge coordinates and add half the resolution
# to go to center coordinates
xmin = gt[0] + xres * 0.5
xmax = gt[0] + (xres * ds.RasterXSize) - xres * 0.5
ymin = gt[3] + (yres * ds.RasterYSize) + yres * 0.5
ymax = gt[3] - yres * 0.5
extent = [xmin,xmax,ymin,ymax]
del ds
ss_raster = r"C:\workspace\Merged_SS\window_analysis\10_percent_shift\raster\ss_50_rasterclipped.tif"
ds = gdal.Open(ss_raster)
ss_data_50 = ds.GetRasterBand(1).ReadAsArray()
ss_data_50[ss_data_50<=0] = np.nan
del ds
tex_raster = r"C:\workspace\Merged_SS\window_analysis\10_percent_shift\raster\tex_70_rasterclipped.tif"
ds = gdal.Open(tex_raster)
tex_data_70 = ds.GetRasterBand(1).ReadAsArray()
tex_data_70[tex_data_70<=0] = np.nan
tex_data_70 = tex_data_70*70
del ds
ss_raster = r"C:\workspace\Merged_SS\window_analysis\10_percent_shift\raster\ss_70_rasterclipped.tif"
ds = gdal.Open(ss_raster)
ss_data_70 = ds.GetRasterBand(1).ReadAsArray()
ss_data_70[ss_data_70<=0] = np.nan
del ds
tex_raster = r"C:\workspace\Merged_SS\window_analysis\10_percent_shift\raster\tex_80_rasterclipped.tif"
ds = gdal.Open(tex_raster)
tex_data_80 = ds.GetRasterBand(1).ReadAsArray()
tex_data_80[tex_data_80<=0] = np.nan
tex_data_80 = tex_data_80*80
del ds
ss_raster = r"C:\workspace\Merged_SS\window_analysis\10_percent_shift\raster\ss_80_rasterclipped.tif"
ds = gdal.Open(tex_raster)
ss_data_80 = ds.GetRasterBand(1).ReadAsArray()
ss_data_80[ss_data_80<=0] = np.nan
del ds
tex_raster = r"C:\workspace\Merged_SS\window_analysis\10_percent_shift\raster\tex_120_rasterclipped.tif"
ds = gdal.Open(tex_raster)
tex_data_120 = ds.GetRasterBand(1).ReadAsArray()
tex_data_120[tex_data_120<=0] = np.nan
tex_data_120 = tex_data_120*120
del ds
ss_raster = r"C:\workspace\Merged_SS\window_analysis\10_percent_shift\raster\ss_120_rasterclipped.tif"
ds = gdal.Open(tex_raster)
ss_data_120 = ds.GetRasterBand(1).ReadAsArray()
ss_data_120[ss_data_120<=0] = np.nan
del ds
tex_raster = r"C:\workspace\Merged_SS\window_analysis\10_percent_shift\raster\tex_160_rasterclipped.tif"
ds = gdal.Open(tex_raster)
tex_data_160 = ds.GetRasterBand(1).ReadAsArray()
tex_data_160[tex_data_160<=0] = np.nan
tex_data_160 = tex_data_160*160
del ds
ss_raster = r"C:\workspace\Merged_SS\window_analysis\10_percent_shift\raster\ss_160_rasterclipped.tif"
ds = gdal.Open(tex_raster)
ss_data_160 = ds.GetRasterBand(1).ReadAsArray()
ss_data_160[ss_data_160<=0] = np.nan
del ds
#######################################################################################################
#######################################################################################################
# create a grid of xy coordinates in the original projection
xx, yy = np.mgrid[xmin:xmax+xres:xres, ymax+yres:ymin:yres]
trans = pyproj.Proj(init="epsg:26949")
glon, glat = trans(xx, yy, inverse=True)
#ortho_lon, ortho_lat = trans(ortho_x, ortho_y, inverse=True)
cs2cs_args = "epsg:26949"
tex_levels = list(np.arange(0,135,5))
ss_level=[0,2.5,5,7.5,10,12.5,15,17.5,20,22.5,25,27.5,30,32.5,35]
fig = plt.figure(figsize=(15,6))
ax = fig.add_subplot(1,5,1)
ax.set_title('50 square pixel')
m = Basemap(projection='merc',
epsg=cs2cs_args.split(':')[1],
llcrnrlon=np.min(glon-0.0009),
llcrnrlat=np.min(glat-0.0006),
urcrnrlon=np.max(glon+0.0009),
urcrnrlat=np.max(glat+0.0009))
m.wmsimage(server='http://grandcanyon.usgs.gov/arcgis/services/Imagery/ColoradoRiverImageryExplorer/MapServer/WmsServer?', layers=['0'], xpixels=1000)
x,y = m.projtran(glon, glat)
im = m.contourf(x,y,ss_data_50.T, cmap='Greys_r',levels=ss_level)
im2 = m.contourf(x, y, tex_data_50.T, alpha=0.4, cmap='YlOrRd', levels=tex_levels)#levels=tex_levels
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.1)
cax2 = divider.append_axes("right", size="5%", pad=0.3)
cbr = plt.colorbar(im, cax=cax)
cbr2 = plt.colorbar(im2,cax=cax2)
ax1 = fig.add_subplot(1,5,2)
ax1.set_title('70 square pixel')
m1 = Basemap(projection='merc',
epsg=cs2cs_args.split(':')[1],
llcrnrlon=np.min(glon-0.0009),
llcrnrlat=np.min(glat-0.0006),
urcrnrlon=np.max(glon+0.0009),
urcrnrlat=np.max(glat+0.0009))
m1.wmsimage(server='http://grandcanyon.usgs.gov/arcgis/services/Imagery/ColoradoRiverImageryExplorer/MapServer/WmsServer?', layers=['0'], xpixels=1000)
x,y = m1.projtran(glon, glat)
im = m1.contourf(x,y,ss_data_70.T, cmap='Greys_r',levels=ss_level)
im2 = m1.contourf(x, y, tex_data_70.T, alpha=0.4, cmap='YlOrRd',levels=tex_levels)
divider = make_axes_locatable(ax1)
cax = divider.append_axes("right", size="5%", pad=0.1)
cax2 = divider.append_axes("right", size="5%", pad=0.3)
cbr = plt.colorbar(im, cax=cax)
cbr2 = plt.colorbar(im2,cax=cax2)
ax2 = fig.add_subplot(1,5,3)
ax2.set_title('80 square pixel')
m = Basemap(projection='merc',
epsg=cs2cs_args.split(':')[1],
llcrnrlon=np.min(glon-0.0009),
llcrnrlat=np.min(glat-0.0006),
urcrnrlon=np.max(glon+0.0009),
urcrnrlat=np.max(glat+0.0009))
m.wmsimage(server='http://grandcanyon.usgs.gov/arcgis/services/Imagery/ColoradoRiverImageryExplorer/MapServer/WmsServer?', layers=['0'], xpixels=1000)
x,y = m.projtran(glon, glat)
im = m.contourf(x, y, ss_data_50.T, cmap='Greys_r',levels=ss_level)
im2 = m.contourf(x, y, tex_data_80.T, alpha=0.4, cmap='YlOrRd',levels=tex_levels)
divider = make_axes_locatable(ax2)
cax = divider.append_axes("right", size="5%", pad=0.1)
cax2 = divider.append_axes("right", size="5%", pad=0.3)
cbr = plt.colorbar(im, cax=cax)
cbr2 = plt.colorbar(im2,cax=cax2)
ax3 = fig.add_subplot(1,5,4)
ax3.set_title('120 square pixel')
m = Basemap(projection='merc',
epsg=cs2cs_args.split(':')[1],
llcrnrlon=np.min(glon-0.0009),
llcrnrlat=np.min(glat-0.0006),
urcrnrlon=np.max(glon+0.0009),
urcrnrlat=np.max(glat+0.0009))
m.wmsimage(server='http://grandcanyon.usgs.gov/arcgis/services/Imagery/ColoradoRiverImageryExplorer/MapServer/WmsServer?', layers=['0'], xpixels=1000)
im = m.contourf(x,y,ss_data_50.T, cmap='Greys_r',levels=ss_level)
im2 = m.contourf(x, y, tex_data_120.T, alpha=0.4, cmap='YlOrRd',levels=tex_levels)
divider = make_axes_locatable(ax3)
cax = divider.append_axes("right", size="5%", pad=0.1)
cax2 = divider.append_axes("right", size="5%", pad=0.3)
cbr = plt.colorbar(im, cax=cax)
cbr2 = plt.colorbar(im2,cax=cax2)
ax4 = fig.add_subplot(1,5,5)
ax4.set_title('160 square pixel')
m = Basemap(projection='merc',
epsg=cs2cs_args.split(':')[1],
llcrnrlon=np.min(glon-0.0009),
llcrnrlat=np.min(glat-0.0006),
urcrnrlon=np.max(glon+0.0009),
urcrnrlat=np.max(glat+0.0009))
m.wmsimage(server='http://grandcanyon.usgs.gov/arcgis/services/Imagery/ColoradoRiverImageryExplorer/MapServer/WmsServer?', layers=['0'], xpixels=1000)
im = m.contourf(x,y,ss_data_50.T, cmap='Greys_r',levels=ss_level)
im2 = m.contourf(x, y, tex_data_160.T, alpha=0.4, cmap='YlOrRd',levels=tex_levels)
divider = make_axes_locatable(ax4)
cax = divider.append_axes("right", size="5%", pad=0.1)
cax2 = divider.append_axes("right", size="5%", pad=0.3)
cbr = plt.colorbar(im, cax=cax)
cbr2 = plt.colorbar(im2,cax=cax2)
fig.tight_layout()
#plt.show()
plt.savefig(r"C:\workspace\Merged_SS\window_analysis\10_percent_shift\output\Window_analyis_scaling.png",dpi=1000)
# [left, right, bottom, top]
#extent=[np.min(glon)-0.0009, np.max(glon)+0.0009, np.min(glat)-0.0009, np.max(glat)+0.0009]
#ortho_extent_2plot = [np.min(ortho_lon)-0.0009, np.max(ortho_lon)+0.0009, np.min(ortho_lat)-0.0009, np.max(ortho_lat)+0.0009]
# Create the figure and basemap object
#ax_1 = fig.add_subplot(3,5,6)
#ax_1.set_title('50 square pixel')
#m = Basemap(projection='merc',
# epsg=cs2cs_args.split(':')[1],
# llcrnrlon=np.min(glon),
# llcrnrlat=np.min(glat),
# urcrnrlon=np.max(glon),
# urcrnrlat=np.max(glat))
#im = m.contourf(x, y, tex_data_50.T, alpha=0.4, cmap='YlOrRd')
#divider = make_axes_locatable(ax_1)
#cax = divider.append_axes("right", size="5%", pad=0.1)
#cbr = plt.colorbar(im,cax=cax)
#
#ax_2 = fig.add_subplot(3,5,1)
#ax_2.set_title('50 square pixel')
#m = Basemap(projection='merc',
# epsg=cs2cs_args.split(':')[1],
# llcrnrlon=np.min(glon),
# llcrnrlat=np.min(glat),
# urcrnrlon=np.max(glon),
# urcrnrlat=np.max(glat))
#im = m.contourf(x, y, ss_data_50.T, cmap='Greys_r',levels=ss_level)
#divider = make_axes_locatable(ax_2)
#cax = divider.append_axes("right", size="5%", pad=0.1)
#cbr = plt.colorbar(im,cax=cax)
#ax1_1 = fig.add_subplot(3,5,7)
#ax1_1.set_title('70 square pixel')
#m = Basemap(projection='merc',
# epsg=cs2cs_args.split(':')[1],
# llcrnrlon=np.min(glon),
# llcrnrlat=np.min(glat),
# urcrnrlon=np.max(glon),
# urcrnrlat=np.max(glat))
#im = m.contourf(x, y, tex_data_70.T, alpha=0.4, cmap='YlOrRd')
#divider = make_axes_locatable(ax1_1)
#cax = divider.append_axes("right", size="5%", pad=0.1)
#cbr = plt.colorbar(im,cax=cax)
#
#ax1_2 = fig.add_subplot(3,5,2)
#ax1_2.set_title('70 square pixel')
#m = Basemap(projection='merc',
# epsg=cs2cs_args.split(':')[1],
# llcrnrlon=np.min(glon),
# llcrnrlat=np.min(glat),
# urcrnrlon=np.max(glon),
# urcrnrlat=np.max(glat))
#im = m.contourf(x, y, ss_data_70.T, cmap='Greys_r',levels=ss_level)
#divider = make_axes_locatable(ax1_2)
#cax = divider.append_axes("right", size="5%", pad=0.1)
#cbr = plt.colorbar(im,cax=cax)
#ax2_1 = fig.add_subplot(3,5,8)
#ax2_1.set_title('80 square pixel')
#m = Basemap(projection='merc',
# epsg=cs2cs_args.split(':')[1],
# llcrnrlon=np.min(glon),
# llcrnrlat=np.min(glat),
# urcrnrlon=np.max(glon),
# urcrnrlat=np.max(glat))
#im = m.contourf(x, y, tex_data_80.T, alpha=0.4, cmap='YlOrRd')
#divider = make_axes_locatable(ax2_1)
#cax = divider.append_axes("right", size="5%", pad=0.1)
#cbr = plt.colorbar(im,cax=cax)
#
#ax2_2 = fig.add_subplot(3,5,3)
#ax2_2.set_title('80 square pixel')
#m = Basemap(projection='merc',
# epsg=cs2cs_args.split(':')[1],
# llcrnrlon=np.min(glon),
# llcrnrlat=np.min(glat),
# urcrnrlon=np.max(glon),
# urcrnrlat=np.max(glat))
#im = m.contourf(x, y, ss_data_50.T, cmap='Greys_r',levels=ss_level)
#divider = make_axes_locatable(ax2_2)
#cax = divider.append_axes("right", size="5%", pad=0.1)
#cbr = plt.colorbar(im,cax=cax)
#ax3_1 = fig.add_subplot(3,5,9)
#ax3_1.set_title('120 square pixel')
#m = Basemap(projection='merc',
# epsg=cs2cs_args.split(':')[1],
# llcrnrlon=np.min(glon),
# llcrnrlat=np.min(glat),
# urcrnrlon=np.max(glon),
# urcrnrlat=np.max(glat))
#im = m.contourf(x, y, tex_data_120.T, alpha=0.4, cmap='YlOrRd')
#divider = make_axes_locatable(ax3_1)
#cax = divider.append_axes("right", size="5%", pad=0.1)
#cbr = plt.colorbar(im,cax=cax)
#
#ax3_2 = fig.add_subplot(3,5,4)
#ax3_2.set_title('120 square pixel')
#m = Basemap(projection='merc',
# epsg=cs2cs_args.split(':')[1],
# llcrnrlon=np.min(glon),
# llcrnrlat=np.min(glat),
# urcrnrlon=np.max(glon),
# urcrnrlat=np.max(glat))
#im = m.contourf(x, y, ss_data_50.T, cmap='Greys_r',levels=ss_level)
#divider = make_axes_locatable(ax3_2)
#cax = divider.append_axes("right", size="5%", pad=0.1)
#cbr = plt.colorbar(im,cax=cax)
#ax4_1 = fig.add_subplot(3,5,10)
#ax4_1.set_title('160 square pixel')
#m = Basemap(projection='merc',
# epsg=cs2cs_args.split(':')[1],
# llcrnrlon=np.min(glon),
# llcrnrlat=np.min(glat),
# urcrnrlon=np.max(glon),
# urcrnrlat=np.max(glat))
#im = m.contourf(x, y, tex_data_160.T, alpha=0.4, cmap='YlOrRd')
#divider = make_axes_locatable(ax4_1)
#cax = divider.append_axes("right", size="5%", pad=0.1)
#cbr = plt.colorbar(im,cax=cax)
#
#ax4_2 = fig.add_subplot(3,5,5)
#ax4_2.set_title('160 square pixel')
#m = Basemap(projection='merc',
# epsg=cs2cs_args.split(':')[1],
# llcrnrlon=np.min(glon),
# llcrnrlat=np.min(glat),
# urcrnrlon=np.max(glon),
# urcrnrlat=np.max(glat))
#im = m.contourf(x, y, ss_data_50.T, cmap='Greys_r',levels=ss_level)
#divider = make_axes_locatable(ax4_2)
#cax = divider.append_axes("right", size="5%", pad=0.1)
#cbr = plt.colorbar(im,cax=cax)