<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Colin Richardson | ASIL</title><link>https://asil.gge.unb.ca/authors/colin-richardson/</link><atom:link href="https://asil.gge.unb.ca/authors/colin-richardson/index.xml" rel="self" type="application/rss+xml"/><description>Colin Richardson</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://asil.gge.unb.ca/authors/colin-richardson/avatar_hu_606291a7d901703a.png</url><title>Colin Richardson</title><link>https://asil.gge.unb.ca/authors/colin-richardson/</link></image><item><title>Urban Digital Twin Platform</title><link>https://asil.gge.unb.ca/projects/urban-digital-twin-platform/</link><pubDate>Wed, 04 Mar 2026 00:00:00 +0000</pubDate><guid>https://asil.gge.unb.ca/projects/urban-digital-twin-platform/</guid><description>&lt;p&gt;This project develops scalable workflows for generating and updating urban digital twins from mobile mapping, airborne LiDAR, and optical imagery.&lt;/p&gt;
&lt;h2 id="objectives"&gt;Objectives&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Build LoD2-ready city models for planning and engineering use&lt;/li&gt;
&lt;li&gt;Improve camera-LiDAR registration and quality control&lt;/li&gt;
&lt;li&gt;Support downstream climate, hazard, and infrastructure analytics&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="methods"&gt;Methods&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Multimodal segmentation and feature extraction&lt;/li&gt;
&lt;li&gt;Geometry-aware registration pipelines&lt;/li&gt;
&lt;li&gt;Quality assessment using field and reference datasets&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="impact"&gt;Impact&lt;/h2&gt;
&lt;p&gt;Outputs support municipal planning, emergency preparation, and data-driven infrastructure management.&lt;/p&gt;</description></item><item><title>Urban Heat and Flood Projection Analytics</title><link>https://asil.gge.unb.ca/featured-research/urban-heat-flood-projection-analytics/</link><pubDate>Wed, 04 Mar 2026 00:00:00 +0000</pubDate><guid>https://asil.gge.unb.ca/featured-research/urban-heat-flood-projection-analytics/</guid><description>&lt;p&gt;This research combines geospatial modeling, remote sensing, and AI to project urban heat and flood behavior under development and climate-change scenarios.&lt;/p&gt;
&lt;h2 id="focus"&gt;Focus&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Project urban heat island patterns and identify high-risk hotspots&lt;/li&gt;
&lt;li&gt;Map flood susceptibility and assess potential impacts on built environments&lt;/li&gt;
&lt;li&gt;Support scenario-based planning for municipalities and public agencies&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="application"&gt;Application&lt;/h2&gt;
&lt;p&gt;The framework supports resilience planning, emergency preparedness, and data-driven infrastructure upgrades.&lt;/p&gt;</description></item></channel></rss>