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<div class="section" id="download-data">
<h1>Download data<a class="headerlink" href="#download-data" title="Permalink to this headline">¶</a></h1>
<p>Download data for this lesson from this <a class="reference external" href="http://www.helsinki.fi/science/accessibility/opetus/autogis/LC81910182016153-SC20161208043748.tar.gz">link</a>.</p>
<p>n this lesson, we will use a Landsat 8 satellite scene for practicing how to read raster data with Python and Gdal.
Landsat images are distributed as gzipped TAR archives <a href="#id1"><span class="problematic" id="id2">*</span></a>.tar.gz when downloading from the <a class="reference external" href="https://earthexplorer.usgs.gov/">USGS Earth Explorer</a>.
For the purposes of this exercise, we have pre-downloaded a scene covering South-West Finland which you can download from the above link.
In order to get started, you need to extract the contents of the TAR archive either in the Terminal window or with a Python script.</p>
<div class="section" id="option-1-extract-files-in-terminal">
<h2>Option 1: Extract files in terminal<a class="headerlink" href="#option-1-extract-files-in-terminal" title="Permalink to this headline">¶</a></h2>
<p>Navigate to the directory where you downloaded the data, and extract files into a new folder:</p>
<div class="code bash highlight-default"><div class="highlight"><pre><span></span><span class="n">mkdir</span> <span class="n">LandsatData</span>
<span class="n">tar</span> <span class="o">-</span><span class="n">zxvf</span> <span class="n">LC81910182016153</span><span class="o">-</span><span class="n">SC20161208043748</span><span class="o">.</span><span class="n">tar</span><span class="o">.</span><span class="n">gz</span> <span class="o">-</span><span class="n">C</span> <span class="n">LandsatData</span><span class="o">/</span>
</pre></div>
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<div class="section" id="option-2-extract-files-using-python">
<h2>Option 2: Extract files using Python<a class="headerlink" href="#option-2-extract-files-using-python" title="Permalink to this headline">¶</a></h2>
<p>It is also possible to extract the files in python using the <code class="docutils literal"><span class="pre">tarfile</span></code> module. First, open the file with <code class="docutils literal"><span class="pre">tarfile.open()`</span></code>.
The parameter <code class="docutils literal"><span class="pre">r:gz</span></code> specifies that we want to open the gzipped file in reading mode. Then, extract the files using <code class="docutils literal"><span class="pre">tarifile.extractall()</span></code> method:</p>
<div class="code python highlight-default"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
<span class="kn">import</span> <span class="nn">tarfile</span>
<span class="c1">#Create output folder</span>
<span class="n">newFolder</span> <span class="o">=</span> <span class="s2">"LandsatData"</span>
<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">newFolder</span><span class="p">)</span>
<span class="c1">#Extract files</span>
<span class="n">tar</span> <span class="o">=</span> <span class="n">tarfile</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s2">"LC81910182016153-SC20161208043748.tar.gz"</span><span class="p">,</span> <span class="s2">"r:gz"</span><span class="p">)</span>
<span class="n">tar</span><span class="o">.</span><span class="n">extractall</span><span class="p">(</span><span class="n">newFolder</span><span class="p">)</span>
<span class="n">tar</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
</pre></div>
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