"""
NASA's Global Imagery Browse Services (GIBS)
Visualization Product Catalog
https://nasa-gibs.github.io/gibs-api-docs/available-visualizations/#visualization-product-catalog

"""
import matplotlib.pyplot as plt
import cartopy.crs as ccrs

# fig = plt.figure(figsize=(20, 6))
fig = plt.figure()  # 如果自定义地图范围可以不设置


# 自定义地图经纬度范围
ax = fig.add_subplot(
    1, 1, 1,
    projection=ccrs.PlateCarree())
extent = [100, 155, 5, 45]
ax.set_extent(extent, crs=ccrs.PlateCarree())
ax.coastlines(linewidth=0.1, zorder=20, resolution='50m')  # Natural Earth Valid scales are "110m", "50m", and "10m"
# ax.gridlines()

# url = 'http://map1c.vis.earthdata.nasa.gov/wmts-geo/wmts.cgi'
# layer = 'BlueMarble_ShadedRelief'
# ax.add_wmts(url, layer)

# url = 'http://map1c.vis.earthdata.nasa.gov/wmts-geo/wmts.cgi'
# layer = 'ASTER_GDEM_Color_Shaded_Relief'
# ax.add_wmts(url, layer)

url = 'https://map1c.vis.earthdata.nasa.gov/wmts-geo/wmts.cgi'
layer = 'VIIRS_CityLights_2012'
ax.add_wmts(url, layer)

# ax.set_global()
# ax.stock_img()
# ax.coastlines()

fig_name = layer + ".png"
# plt.show()
# plt.savefig(fig_name, bbox_inches='tight')
plt.savefig(fig_name,
            dpi=512,  # 分辨率，每英寸的点数
            bbox_inches='tight',
            pad_inches=0.2,  # (默认: 0.1)所保存图形周围的填充量
            transparent=True,
            facecolor='auto',  # 默认 auto
            edgecolor='r',  # 默认 auto
            # papertype='letter',  # 3.6之后不支持了。纸张大小，仅支持postscript输出。取值范围为:
                             # {'letter', 'legal', 'executive', 'ledger', 'a0' - 'a10', 'b0' - 'b10'}。默认值为None。
            orientation='portrait')  # {‘landscape,’ ‘portrait’}: 目前只有后端支持