<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Raster-Processing on Pi Stack</title>
    <link>https://www.pistack.xyz/tags/raster-processing/</link>
    <description>Recent content in Raster-Processing on Pi Stack</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Tue, 09 Jun 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://www.pistack.xyz/tags/raster-processing/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Self-Hosted GIS Raster Processing: GDAL vs GRASS GIS vs WhiteboxTools vs Orfeo ToolBox</title>
      <link>https://www.pistack.xyz/posts/2026-06-09-self-hosted-gis-raster-processing-gdal-grass-whitebox-otb/</link>
      <pubDate>Tue, 09 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://www.pistack.xyz/posts/2026-06-09-self-hosted-gis-raster-processing-gdal-grass-whitebox-otb/</guid>
      <description>&lt;p&gt;Geospatial raster data powers everything from satellite imagery analysis to digital elevation models and land cover classification. Whether you&amp;rsquo;re processing Landsat scenes, analyzing LiDAR-derived DEMs, or running hydrological models, having a robust self-hosted raster processing pipeline is essential. In this guide, we compare four leading open-source raster processing platforms — &lt;strong&gt;GDAL&lt;/strong&gt;, &lt;strong&gt;GRASS GIS&lt;/strong&gt;, &lt;strong&gt;WhiteboxTools&lt;/strong&gt;, and &lt;strong&gt;Orfeo ToolBox (OTB)&lt;/strong&gt; — to help you choose the right tool for your geospatial workflow.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
