IBCSO v2 data coverage

IBCSO v2 data coverage#

Description: International Bathymetric Chart of the Southern Ocean Version 2 data coverage.

Dataset:

Dorschel, Boris, Laura Hehemann, Sacha Viquerat, Fynn Warnke, Simon Dreutter, Yvonne Schulze Tenberge, Daniela Accettella, et al. β€œThe International Bathymetric Chart of the Southern Ocean Version 2 (IBCSO V2).” PANGAEA, 2022. https://doi.org/10.1594/PANGAEA.937574.

Associated paper:

Dorschel, Boris, Laura Hehemann, Sacha Viquerat, Fynn Warnke, Simon Dreutter, Yvonne Schulze Tenberge, Daniela Accettella, et al. β€œThe International Bathymetric Chart of the Southern Ocean Version 2.” Scientific Data 9, no. 1 (December 2022): 275. https://doi.org/10.1038/s41597-022-01366-7.

[1]:
%%capture
%load_ext autoreload
%autoreload 2


from polartoolkit import fetch, maps, regions
[2]:
points_gdf, polygons_gdf = fetch.ibcso_coverage(
    # available options
    # region
)
[3]:
points_gdf.head()
[3]:
dataset_name dataset_tid weight geometry easting northing
0 GA_Obrien.xyz 10 10 POINT (1020553.092 -2525268.921) 1.020553e+06 -2.525269e+06
0 GA_Obrien.xyz 10 10 POINT (1020586.770 -2423117.068) 1.020587e+06 -2.423117e+06
0 GA_Obrien.xyz 10 10 POINT (1020651.064 -2423289.540) 1.020651e+06 -2.423290e+06
0 GA_Obrien.xyz 10 10 POINT (1020754.140 -2423447.725) 1.020754e+06 -2.423448e+06
0 GA_Obrien.xyz 10 10 POINT (1020857.215 -2423605.911) 1.020857e+06 -2.423606e+06
[4]:
polygons_gdf.head()
[4]:
dataset_name dataset_tid weight geometry
13 RITS94B_SB.xyz 11 10 POLYGON ((-1887017.570 -1562081.910, -1889977....
13 RITS94B_SB.xyz 11 10 POLYGON ((-2031884.502 -1522688.718, -2025725....
13 RITS94B_SB.xyz 11 10 POLYGON ((-2046682.463 -1488500.326, -2044616....
13 RITS94B_SB.xyz 11 10 POLYGON ((-2140062.697 -1334397.426, -2138006....
13 RITS94B_SB.xyz 11 10 POLYGON ((-2163025.050 -885866.136, -2153297.1...
[5]:
fig = maps.basemap(
    region=regions.antarctica,
    coast=True,
    coast_pen="0.1,black",
    title="IBCSO data coverage",
    hemisphere="south",
)
# plot the points
fig.plot(
    data=points_gdf[::10],  # decrease the number of points to plot
    style="p",
    fill="magenta",
    label="Points",
)

# plot the polygons
fig.plot(
    data=polygons_gdf,
    close=True,
    fill="cyan",
    label="Polygons",
)

fig.legend()

fig.show(dpi=200)
../../_images/datasets_antarctica_ibcso_coverage_5_0.png
[ ]: