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X (Twitter) is back with a new X API Pay-Per-Use model

https://developer.x.com/
2•eeko_systems•1m ago•0 comments

Zlob.h 100% POSIX and glibc compatible globbing lib that is faste and better

https://github.com/dmtrKovalenko/zlob
1•neogoose•4m ago•1 comments

Show HN: Deterministic signal triangulation using a fixed .72% variance constant

https://github.com/mabrucker85-prog/Project_Lance_Core
1•mav5431•5m ago•1 comments

Scientists Discover Levitating Time Crystals You Can Hold, Defy Newton’s 3rd Law

https://phys.org/news/2026-02-scientists-levitating-crystals.html
1•sizzle•5m ago•0 comments

When Michelangelo Met Titian

https://www.wsj.com/arts-culture/books/michelangelo-titian-review-the-renaissances-odd-couple-e34...
1•keiferski•6m ago•0 comments

Solving NYT Pips with DLX

https://github.com/DonoG/NYTPips4Processing
1•impossiblecode•7m ago•1 comments

Baldur's Gate to be turned into TV series – without the game's developers

https://www.bbc.com/news/articles/c24g457y534o
1•vunderba•7m ago•0 comments

Interview with 'Just use a VPS' bro (OpenClaw version) [video]

https://www.youtube.com/watch?v=40SnEd1RWUU
1•dangtony98•12m ago•0 comments

EchoJEPA: Latent Predictive Foundation Model for Echocardiography

https://github.com/bowang-lab/EchoJEPA
1•euvin•20m ago•0 comments

Disablling Go Telemetry

https://go.dev/doc/telemetry
1•1vuio0pswjnm7•22m ago•0 comments

Effective Nihilism

https://www.effectivenihilism.org/
1•abetusk•25m ago•1 comments

The UK government didn't want you to see this report on ecosystem collapse

https://www.theguardian.com/commentisfree/2026/jan/27/uk-government-report-ecosystem-collapse-foi...
2•pabs3•27m ago•0 comments

No 10 blocks report on impact of rainforest collapse on food prices

https://www.thetimes.com/uk/environment/article/no-10-blocks-report-on-impact-of-rainforest-colla...
1•pabs3•27m ago•0 comments

Seedance 2.0 Is Coming

https://seedance-2.app/
1•Jenny249•29m ago•0 comments

Show HN: Fitspire – a simple 5-minute workout app for busy people (iOS)

https://apps.apple.com/us/app/fitspire-5-minute-workout/id6758784938
1•devavinoth12•29m ago•0 comments

Dexterous robotic hands: 2009 – 2014 – 2025

https://old.reddit.com/r/robotics/comments/1qp7z15/dexterous_robotic_hands_2009_2014_2025/
1•gmays•33m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•ksec•43m ago•1 comments

JobArena – Human Intuition vs. Artificial Intelligence

https://www.jobarena.ai/
1•84634E1A607A•47m ago•0 comments

Concept Artists Say Generative AI References Only Make Their Jobs Harder

https://thisweekinvideogames.com/feature/concept-artists-in-games-say-generative-ai-references-on...
1•KittenInABox•50m ago•0 comments

Show HN: PaySentry – Open-source control plane for AI agent payments

https://github.com/mkmkkkkk/paysentry
2•mkyang•52m ago•0 comments

Show HN: Moli P2P – An ephemeral, serverless image gallery (Rust and WebRTC)

https://moli-green.is/
2•ShinyaKoyano•1h ago•1 comments

The Crumbling Workflow Moat: Aggregation Theory's Final Chapter

https://twitter.com/nicbstme/status/2019149771706102022
1•SubiculumCode•1h ago•0 comments

Pax Historia – User and AI powered gaming platform

https://www.ycombinator.com/launches/PMu-pax-historia-user-ai-powered-gaming-platform
2•Osiris30•1h ago•0 comments

Show HN: I built a RAG engine to search Singaporean laws

https://github.com/adityaprasad-sudo/Explore-Singapore
3•ambitious_potat•1h ago•4 comments

Scams, Fraud, and Fake Apps: How to Protect Your Money in a Mobile-First Economy

https://blog.afrowallet.co/en_GB/tiers-app/scams-fraud-and-fake-apps-in-africa
1•jonatask•1h ago•0 comments

Porting Doom to My WebAssembly VM

https://irreducible.io/blog/porting-doom-to-wasm/
2•irreducible•1h ago•0 comments

Cognitive Style and Visual Attention in Multimodal Museum Exhibitions

https://www.mdpi.com/2075-5309/15/16/2968
1•rbanffy•1h ago•0 comments

Full-Blown Cross-Assembler in a Bash Script

https://hackaday.com/2026/02/06/full-blown-cross-assembler-in-a-bash-script/
1•grajmanu•1h ago•0 comments

Logic Puzzles: Why the Liar Is the Helpful One

https://blog.szczepan.org/blog/knights-and-knaves/
1•wasabi991011•1h ago•0 comments

Optical Combs Help Radio Telescopes Work Together

https://hackaday.com/2026/02/03/optical-combs-help-radio-telescopes-work-together/
2•toomuchtodo•1h ago•1 comments
Open in hackernews

Show HN: High-resolution surface analysis with Lidar data

https://github.com/r-follador/delta-relief
66•folli•8mo ago

Comments

schobi•8mo ago
Thanks for sharing!

The description confused me, as it describes the use of a real Lidar measurements to detect "change" in the terrain. But certainly, it can't be a temporal change before and after... to detect medieval settings in the data. Is the area still changing differentlybetween scans over multi year's? I don't think so.

I think this is visualization code highlighting natural VS. human train structures, at known locations of old settlements? Showing different approaches on how to visualize the man-made heights in the terrain.

But still, I'm lost how this could help finding new ones..

folli•8mo ago
I think the examples should make it more clear. Thanks to the high resolution of the data, you can see subtle changes in the slope (aka relief aka microtopography) that could hint to underlying remains of human settlements (usually some suspicious geometric patterns that you would not expect in a natural terrain).

See also here for an in-depth discussion on the potential use of such data: https://www.mdpi.com/2072-4292/15/6/1569

How do you suggest to change the description to make it less confusing?

folli•8mo ago
Here's another article about the use of such data in South America: https://www.nationalgeographic.com/history/article/maya-lase...

Of course, nothing so exciting to be discovered in Switzerland anymore ;)

weinzierl•8mo ago
"Buildings and vegetation are removed, revealing the underlying topography."

I understand how vegetation could be removed, but buildings? How is that accomplished?

folli•8mo ago
SwissTopo has a separate dataset of buildings and structures in Switzerland, so they basically just subtract it from the LiDAR data.
Geo_ge•8mo ago
A raw point cloud is run through a series of processing steps to label each point with a class, e.g. "Ground", "Low/Medium/High Vegetation", "Building", "Transmission Tower", etc.

https://desktop.arcgis.com/en/arcmap/latest/manage-data/las-...

There will be a different algorithm for each feature class. For example, points that are part of a building might be identified by finding groups of points that form a very flat surface. ML models can also do this based on training data.

https://pro.arcgis.com/en/pro-app/latest/tool-reference/3d-a...

The final digital elevation model (DEM) is then just taking the "Ground" class from the classified point cloud and using them to triangulate a surface. This differs from a digital surface model (DSM), which will triangulate a surface based on ground+building+vegetation points.

thebruce87m•8mo ago
Removing vegetation seems like a harder problem than buildings. Buildings generally have cuboids and other standard shapes, but how do you determine the difference between small trees, big trees, bracken etc?

It the Scotland we have heather that can coat hills but I’m not sure that you’d be able to tell the difference between that and a forest canopy to assume a height and then subtract. Maybe there’s more than the point cloud to work with.

Geo_ge•8mo ago
Aerial survey LiDAR can process multiple returns from a single laser pulse. So, some energy might be reflected back from a leaf, but some energy will pass through (or around) the leaf, hit the ground, then reflect back to the sensor. Some systems can record 5+ points from a single laser pulse.

With this information, you can filter the point cloud to only include points from the final return, which is likely to be the ground/a solid surface unless the vegetation is very dense.

0_____0•8mo ago
You don't even need multireturn, typically your point cloud will have points from the tree or whatever plus some that returned from the structure behind it.
lyu07282•8mo ago
> LiDAR has some interesting use cases in archaeology (Caspari, 2023), particularly for uncovering man-made structures that are hidden beneath vegetation or subtle terrain changes. It allows archaeologists to identify features such as ancient roads, walls, building foundations, and agricultural terraces that may be invisible to the naked eye or conventional aerial photography.

Wasn't this also how the cities in the Amazon were discovered as well? These maps are fascinating. I can see ancient structures everywhere! Then again I'm not a trained archeologist.