<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>STAC | Udit Asopa</title><link>https://uditasopa.netlify.app/tag/stac/</link><atom:link href="https://uditasopa.netlify.app/tag/stac/index.xml" rel="self" type="application/rss+xml"/><description>STAC</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>2026</copyright><lastBuildDate>Fri, 30 Oct 2026 00:00:00 +0000</lastBuildDate><image><url>https://uditasopa.netlify.app/media/avatar.png</url><title>STAC</title><link>https://uditasopa.netlify.app/tag/stac/</link></image><item><title>Toolchain and Technologies</title><link>https://uditasopa.netlify.app/skills/tools_tech/</link><pubDate>Fri, 30 Oct 2026 00:00:00 +0000</pubDate><guid>https://uditasopa.netlify.app/skills/tools_tech/</guid><description>&lt;table style="border-collapse: collapse; width: 100%;">
&lt;tr>
&lt;td>&lt;strong>Coding and Analysis&lt;/strong>&lt;/td>
&lt;td>&lt;strong>Geospatial and EO Tools&lt;/strong>&lt;/td>
&lt;td>&lt;strong>Cloud and Development Platforms&lt;/strong>&lt;/td>
&lt;td>&lt;strong>Visualization and Reporting&lt;/strong>&lt;/td>
&lt;td>&lt;strong>Integration and Operations&lt;/strong>&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td>
&lt;br>Python (pandas, numpy, matplotlib, seaborn)&lt;br>
&lt;br>Statistical scripting for EO analytics&lt;br>
&lt;br>SQL &amp; R (basic)&lt;br>
&lt;br>Custom data transformations&lt;br>
&lt;br>DAX &amp; M for BI tools
&lt;/td>
&lt;td>
&lt;br>QGIS, ArcGIS, Google Earth Engine (GEE)&lt;br>
&lt;br>GDAL &amp; SNAP&lt;br>
&lt;br>LiDAR data processing tools&lt;br>
&lt;br>SARscape for InSAR workflows&lt;br>
&lt;br>Raster-vector integration suites
&lt;/td>
&lt;td>
&lt;br>Google Earth Engine cloud apps&lt;br>
&lt;br>AWS (EC2, S3 basics)&lt;br>
&lt;br>Git &amp; version control workflows&lt;br>
&lt;br>Databricks notebooks&lt;br>
&lt;br>Jupyter-based automation
&lt;/td>
&lt;td>
&lt;br>Power BI &amp; geospatial dashboards&lt;br>
&lt;br>Seaborn and matplotlib visualizations&lt;br>
&lt;br>KPI tracking and visual storytelling&lt;br>
&lt;br>Custom reports for disaster analytics&lt;br>
&lt;br>Interactive map-based interfaces
&lt;/td>
&lt;td>
&lt;br>Bash &amp; CLI scripting for task automation&lt;br>
&lt;br>GitHub Actions &amp; team repos&lt;br>
&lt;br>API integration with Esri tools&lt;br>
&lt;br>Pipeline orchestration for SAR data&lt;br>
&lt;br>DevOps-style reproducibility tools
&lt;/td>
&lt;/tr>
&lt;/table>
&lt;h3 id="geospatial-data-infrastructure">Geospatial Data Infrastructure&lt;/h3>
&lt;ul>
&lt;li>&lt;strong>pgSTAC&lt;/strong> — PostgreSQL-backed infrastructure for storing and querying STAC catalogue metadata.&lt;/li>
&lt;li>&lt;strong>Apache Polaris and Apache Iceberg&lt;/strong> — Catalogue and open table-format tooling for interoperable analytical data.&lt;/li>
&lt;li>&lt;strong>OGC APIs&lt;/strong> — Open standards for accessing geospatial data through interoperable web services.&lt;/li>
&lt;li>&lt;strong>TiTiler&lt;/strong> — Dynamic map tile services for cloud-optimized geospatial raster data.&lt;/li>
&lt;li>&lt;strong>GDAL&lt;/strong> — Tools and libraries for processing and translating raster and vector geospatial formats.&lt;/li>
&lt;/ul></description></item></channel></rss>