Alternatives
Products that do what Verdant Meridian does
Landscape Measurement and Bidding
- 1HR
2025 · github.com
- 2EM
I've been working on this project for about 4 years. It began as terrain only because world wide elevation data was publicly available. I then added buildings from OpenStreetMap (crowd sourced) and more recently from Overture Maps data. Some computer vision/machine learning advancements [1] in the past few years have made it possible to estimate tree canopy heights using satellite imagery alone making it possible to finally add trees to the map. The data isn't perfect, but it's within +/- 3 meters of so. Good enough to give a general idea for any location on Earth. Happy to answer…
2024 · shademap.app
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2018 · scaleapi.com
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2023 · louisquissetlabs.com
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- 12ES
2021 · github.com
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- 21G3
I made a web app to generate 3D models of real places on earth from land cover and elevation data. Click anywhere on the map to get a polygon, and then click "generate". It should work at most scales, but if your watershed or region selection is too large, the result can be less exciting because it's so flat. As a warning, the 3D models can sometimes be too much for my phone. It's nicer on desktop. I'm still working better on mobile support. The land cover data I'm using gives a cool effect, but at some point I'd like to add in global imagery and clouds. The backend is a Python thread…
2025 · topography.jessekv.com
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I'm not a geospatial expert — I work in AI/ML. This started when I was exploring LiDAR data with agentic assitince and noticed that different signal decomposition methods revealed different terrain features. The core idea: if you systematically combine decomposition methods (Gaussian, bilateral, wavelet, morphological, etc.) with different upsampling techniques, each combination has characteristic "failure modes" that selectively preserve or eliminate certain features. The differences between outputs become feature-specific filters. The framework tests 25 decomposition × 19 upsampling…
Jan 2026 · github.com
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