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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Radar Data Availability Figures</title>
<style>
body { font-family: system-ui, sans-serif; max-width: 960px; margin: 2rem auto; padding: 0 1rem; }
h1 { border-bottom: 1px solid #ccc; padding-bottom: 0.5rem; }
h2 { margin-top: 2.5rem; }
figure { margin: 2rem 0; }
img { max-width: 100%; height: auto; border: 1px solid #eee; }
figcaption { color: #555; margin-top: 0.5rem; }
pre { background: #f6f6f6; padding: 0.75rem 1rem; border-radius: 4px; overflow-x: auto; }
code { font-size: 0.9em; }
</style>
</head>
<body>
<h1>Radar Data Availability Figures</h1>
<p>
These are some useful figures showing airborne radar sounder data availability and survey density for
the Antarctic and Greenland ice sheets, using data from
<a href="https://github.com/englacial/xopr">xOPR</a> and BedMap catalogs, supplemented with
flight tracks published directly by AWI and the KOPRI/UTIG helicopter surveys.
Generated automatically on each push to <code>main</code>.
</p>
<p>For more details on the data density maps, see this <a href="https://englacial.org/posts/20260331-radar-sounder-density/">blog post</a>.</p>
<p>See the code to generate these figures on <a href="https://github.com/englacial/radar-data-availability">GitHub</a>.</p>
<h2>Combined Data Availability</h2>
<figure>
<img src="combined_data_availability.png" alt="Combined data availability">
<figcaption>Combined BedMap + xOPR data availability by year, using some loose heuristics for combining the two catalogs.</figcaption>
</figure>
<pre><code>uv run python plot_combined_availability.py</code></pre>
<h2>Antarctic Airborne Radar Surveying by Country</h2>
<figure>
<img src="bedmap_data_availability.png" alt="Antarctic airborne radar line-km per year by country">
<figcaption>Line-km of Antarctic airborne radar sounding per year, stacked by the country of the collecting institution. BedMap campaigns are spread over their catalog date range; the AWI, KOPRI and xOPR-sourced tracks are placed in their field season.</figcaption>
</figure>
<pre><code>uv run python plot_bedmap_availability.py</code></pre>
<h2>Survey Density: BedMap Antarctica</h2>
<figure>
<img src="survey_density_bedmap_antarctica.png" alt="BedMap Antarctica survey density">
<figcaption>Survey density from BedMap 1, 2, and 3(Antarctica)</figcaption>
</figure>
<pre><code>uv run python plot_survey_density.py --source bedmap_local --region antarctica</code></pre>
<h2>Survey Density: BedMap Antarctica (Amundsen Sea Embayment)</h2>
<figure>
<img src="survey_density_bedmap_antarctica_ase.png" alt="BedMap ASE survey density">
<figcaption>Same density map as above, zoomed to the Amundsen Sea Embayment</figcaption>
</figure>
<pre><code>uv run python plot_survey_density.py --source bedmap_local --region antarctica --zoom ase</code></pre>
<h2>Survey Density: xOPR Greenland</h2>
<figure>
<img src="survey_density_xopr_greenland.png" alt="xOPR Greenland survey density">
<figcaption>Survey density from radar sounder data available through xOPR (Greenland)</figcaption>
</figure>
<pre><code>uv run python plot_survey_density.py --source xopr --region greenland</code></pre>
</body>
</html>