map_raster examples

import numpy as np
import xarray as xr
import matplotlib.pyplot as plt

from tests.tools_test import fake_dataset,fake_ecmwf_0100_1h,build_footprint

I - Not crossing Meridian

generate fake raster (ECMWF-like )

crossAntiMeridian = False
to180 = True



raster = fake_ecmwf_0100_1h(to180=to180,with_nan=False)
plt.figure(figsize=(6,3))
plt.pcolormesh(raster.x, raster.y, np.sqrt(raster.U10**2+raster.V10**2))
plt.title("simulated wind speed (m/s)")
plt.colorbar(label='m/s')
plt.xlabel("Longitude")
plt.ylabel("Latitude")
plt.show()

generate fake SAR data + footprint

dataset = fake_dataset(cross_antimeridian=crossAntiMeridian)
dataset

footprint = build_footprint(dataset)

xs, ys = np.array(footprint.exterior.xy[0]), footprint.exterior.xy[1]
xlims = (np.min(xs), np.max(xs))
ylims = (np.min(ys), np.max(ys))

xs

array([-30.  , -15.25, -21.13, -35.88, -30.  ])

plt.figure(figsize=(6,3))
plt.pcolormesh(dataset.sample, dataset.line, dataset.longitude)

plt.title("Longitude")
plt.colorbar(label='degrees_east')
plt.xlabel("Sample")
plt.ylabel("Line")
plt.show()

map_raster main usage example

from mapraster.main import map_raster

rastered = map_raster(raster_ds=raster,originalDataset=dataset, footprint=footprint, cross_antimeridian=crossAntiMeridian)
dataset["U10"] = rastered["U10"]
dataset["V10"] = rastered["V10"]

plt.pcolormesh(dataset.longitude, dataset.latitude, np.sqrt(dataset.U10**2+dataset.V10**2))
#plot footprint
plt.plot(xs, ys, color='red', linewidth=2, label =  'footprint')
plt.legend();

II - Crossing Meridian

Need to activate crossAntimeridian = True and to display longitudes in [0,360]

crossAntiMeridian = True
to180 = False

raster = fake_ecmwf_0100_1h(to180=to180,with_nan=False)
plt.figure(figsize=(6,3))
plt.pcolormesh(raster.x, raster.y, np.sqrt(raster.U10**2+raster.V10**2))
plt.title("simulated wind speed (m/s)")
plt.colorbar(label='m/s')
plt.xlabel("Longitude")
plt.ylabel("Latitude")
plt.show()

dataset = fake_dataset(cross_antimeridian=crossAntiMeridian)
dataset

footprint = build_footprint(dataset)

xs, ys = np.array(footprint.exterior.xy[0])%360, footprint.exterior.xy[1]
xlims = (np.min(xs), np.max(xs))
ylims = (np.min(ys), np.max(ys))

plt.figure(figsize=(6,3))
plt.pcolormesh(dataset.sample, dataset.line, dataset.longitude)

plt.title("Longitude")
plt.colorbar(label='degrees_east')
plt.xlabel("Sample")
plt.ylabel("Line")
plt.show()

plt.figure(figsize=(6,3))
plt.pcolormesh(raster.x, raster.y, np.sqrt(raster.U10**2+raster.V10**2), vmin = 6.76, vmax=6.8)
plt.title("simulated wind speed (m/s)")
plt.colorbar(label='m/s')
plt.xlabel("Longitude")
plt.ylabel("Latitude")
plt.xlim(np.min(xlims), np.max(xlims))
plt.ylim(np.min(ylims), np.max(ylims))
#plot footprint
plt.plot(xs, ys, color='red', linewidth=2, label =  'footprint')
plt.legend(loc = 'upper right')
plt.show()



rastered = map_raster(raster_ds=raster,originalDataset=dataset, footprint=footprint, cross_antimeridian=crossAntiMeridian)
dataset["U10"] = rastered["U10"]
dataset["V10"] = rastered["V10"]
plt.figure(figsize=(6,3))

plt.pcolormesh(dataset.longitude%360, dataset.latitude, np.sqrt(dataset.U10**2+dataset.V10**2), vmin = 6.76, vmax=6.8)
#plot footprint
plt.plot(xs, ys, color='red', linewidth=2, label =  'footprint')
plt.title("Mapped wind speed (m/s)")
plt.colorbar(label='m/s')
plt.legend(loc='upper right');

# Same with Nans

crossAntiMeridian = True
to180 = False

raster = fake_ecmwf_0100_1h(to180=to180,with_nan=True)
plt.figure(figsize=(6,3))
plt.pcolormesh(raster.x, raster.y, np.sqrt(raster.U10**2+raster.V10**2), vmin = 6.76, vmax=6.8)
plt.title("simulated wind speed (m/s)")
plt.colorbar(label='m/s')
plt.xlabel("Longitude")
plt.ylabel("Latitude")
plt.xlim(np.min(xlims), np.max(xlims))
plt.ylim(np.min(ylims), np.max(ylims))
#plot footprint
plt.plot(xs, ys, color='red', linewidth=2, label =  'footprint')
plt.legend(loc = 'upper right')
plt.show()



rastered = map_raster(raster_ds=raster,originalDataset=dataset, footprint=footprint, cross_antimeridian=crossAntiMeridian)
dataset["U10"] = rastered["U10"]
dataset["V10"] = rastered["V10"]
plt.figure(figsize=(6,3))

plt.pcolormesh(dataset.longitude%360, dataset.latitude, np.sqrt(dataset.U10**2+dataset.V10**2), vmin = 6.76, vmax=6.8)
#plot footprint
plt.plot(xs, ys, color='red', linewidth=2, label =  'footprint')
plt.title("Mapped wind speed (m/s)")
plt.colorbar(label='m/s')
plt.legend(loc='upper right');