<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Geospatial AI | Udit Asopa</title><link>https://uditasopa.netlify.app/tag/geospatial-ai/</link><atom:link href="https://uditasopa.netlify.app/tag/geospatial-ai/index.xml" rel="self" type="application/rss+xml"/><description>Geospatial AI</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>2026</copyright><lastBuildDate>Tue, 01 Jul 2025 00:00:00 +0000</lastBuildDate><image><url>https://uditasopa.netlify.app/media/avatar.png</url><title>Geospatial AI</title><link>https://uditasopa.netlify.app/tag/geospatial-ai/</link></image><item><title>Core Competencies</title><link>https://uditasopa.netlify.app/skills/core_competencies/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate><guid>https://uditasopa.netlify.app/skills/core_competencies/</guid><description>&lt;p>Remote sensing fuels modern geospatial intelligence—bridging environmental monitoring, disaster response, and spatial decision-making through advanced Earth Observation analytics&lt;/p>
&lt;table style="border-collapse: collapse; width: 100%;">
&lt;tr>
&lt;td>&lt;strong>Geospatial Intelligence&lt;/strong>&lt;/td>
&lt;td>&lt;strong>Remote Sensing Applications&lt;/strong>&lt;/td>
&lt;td>&lt;strong>Raster Workflow Engineering&lt;/strong>&lt;/td>
&lt;td>&lt;strong>Statistical and ML Methods&lt;/strong>&lt;/td>
&lt;td>&lt;strong>Multiscale Analysis&lt;/strong>&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td>
&lt;br>Satellite SAR data analytics (X, C, L bands)&lt;br>
&lt;br>Multispectral and hyperspectral imagery analysis&lt;br>
&lt;br>DEM generation and terrain surface modeling&lt;br>
&lt;br>Land use/land cover dynamics and transitions&lt;br>
&lt;br>Topographic correction and geomorphological analysis&lt;br>
&lt;/td>
&lt;td>
&lt;br>Post-disaster impact mapping and response support&lt;br>
&lt;br>Urban climate modeling and heat island detection&lt;br>
&lt;br>SAR-based snow and glacier characterization&lt;br>
&lt;br>Deforestation and forest health monitoring&lt;br>
&lt;br>Urbanization trends and land consumption analysis&lt;br>
&lt;/td>
&lt;td>
&lt;br>Multi-sensor preprocessing (RTC, speckle filtering)&lt;br>
&lt;br>Time-series change detection automation&lt;br>
&lt;br>Supervised/unsupervised raster classification&lt;br>
&lt;br>Hexgrid and tile-based pipeline design&lt;br>
&lt;br>Real-time raster-to-vector product conversion&lt;br>
&lt;/td>
&lt;td>
&lt;br>Spatiotemporal trend analysis using SAR data&lt;br>
&lt;br>Multivariate regression &amp; clustering models&lt;br>
&lt;br>Outlier &amp; anomaly detection for disaster insights&lt;br>
&lt;br>Dimensionality reduction for raster analytics&lt;br>
&lt;br>Impact score modeling for spatial risk profiling&lt;br>
&lt;/td>
&lt;td>
&lt;br>Building-level exposure and footprint analysis&lt;br>
&lt;br>Parcel-to-region aggregation using spatial grids&lt;br>
&lt;br>Dynamic downscaling for urban/rural transitions&lt;br>
&lt;br>Resolution-aware modeling across nested scales&lt;br>
&lt;br>Cross-scale spatial normalization and fusion&lt;br>
&lt;/td>
&lt;/tr>
&lt;/table></description></item></channel></rss>