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r.import.ghs.html
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<h2>DESCRIPTION</h2>
<em>r.import.ghs</em> downloads and imports Global Human Settlement (GHS) data
representing built-up area from the
<a href="https://ghsl.jrc.ec.europa.eu/download.php?ds=bu">JRC-GHS</a> website.
Data will only be imported for the current computational region.
Three datasets are currently supported for download and import:
<ul>
<li><a href="https://ghsl.jrc.ec.europa.eu/ghs_bu2019.php">GHS-BUILT</a>,
built-up areas derived from Landsat data, 30m resolution</li>
<li><a href="https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/GHSL/GHS_BUILT_S1NODSM_GLOBE_R2018A/GHS_BUILT_S1NODSM_GLOBE_R2018A_3857_20/V1-0/">
GHS-BUILT-S1</a>, built-up areas derived from Sentinel-1 data, 10m resolution</li>
<li><a href="https://ghsl.jrc.ec.europa.eu/ghs_bu_s2_2018.php">GHS-BUILT-S2</a>,
built-up area probability map derived from Sentinel-2 data, 10m resolution</li>
</ul>
See also the <a href="https://ghsl.jrc.ec.europa.eu/documents/GHSL_Data_Package_2019.pdf?t=1478q532234372">
GHSL Data Package 2019 report</a> for further information on the datasets.
<h2>REQUIREMENTS</h2>
<h3>wget from Python3</h3>
<div class="code"><pre>
pip3 install wget
</pre></div>
<h2>EXAMPLES</h2>
<h3>Import the GHS-BUILT-S2 dataset for the current computational region:</h3>
<div class="code"><pre>
r.import.ghs ghs_built_s2=ghs_built_s2_map directory=some_tempdir
</pre></div>
<h3>Import all datasets for the current computational region:</h3>
<div class="code"><pre>
r.import.ghs ghs_built=ghs_built_map ghs_built_s1=ghs_built_s1_map ghs_built_s2=ghs_built_s2_map directory=some_tempdir
</pre></div>
<h2>SEE ALSO</h2>
<em>
<a href="https://grass.osgeo.org/grass-stable/manuals/r.import.html">r.import</a>,
<a href="https://grass.osgeo.org/grass-stable/manuals/v.select.html">v.select</a>,
<a href="https://grass.osgeo.org/grass-stable/manuals/v.in.region.html">v.in.region</a>
</em>
<h2>REFERENCES</h2>
<ul>
<li><a href="https://ghsl.jrc.ec.europa.eu/download.php?ds=buS2">download source</a></li>
<li><a href="https://ghsl.jrc.ec.europa.eu/documents/GHSL_Data_Package_2019.pdf?t=1478q532234372">GHSL Data Package 2019 report</a></li>
</ul>
<h2>AUTHOR</h2>
Guido Riembauer, <a href="https://www.mundialis.de/">mundialis</a>, Germany