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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CHMv2: Improvements in Global Canopy Height Mapping using DINOv3 · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2603.06382/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2603.06382/feed.xml" rel="self" type="application/rss+xml" /><item><title>CHMv2: Improvements in Global Canopy Height Mapping using DINOv3 — mentioned by ResearchAtPlay</title><link>https://news.ycombinator.com/item?id=47409276</link><guid isPermaLink="false">urn:hackerpapers:mention:2603.06382:47409276</guid><pubDate>Tue, 17 Mar 2026 06:20:49 GMT</pubDate><description>&lt;p&gt;Fascinating work and inspiring application of the underlying DINOv3 image segmentation model! The blog post and paper [1] describe a promising approach to solving related problems at previously impossible scale and quality: I am currently exploring methods to better represent seasonal land cover changes that would improve wind power generation forecasting and this paper provides a great starting point. I hope DINOv3 can inspire more work like this - and I would encourage any curious mind to play with that model! I was amazed by its capability to distinguish between fine object details. For…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2603.06382/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
