A by-product of working with the [OpenData repository of the city of Paris](https://opendata.paris.fr/explore/?sort=modified): here **public lights** (bottom layer, orange-ish) and **trees** (top layer, multicolor).

Both datasets have an information on the objects height, which were superimposed to a Digital Elevation Model of Paris, interpolated in python from [**SRTM** data](https://www2.jpl.nasa.gov/srtm/) (Z-scale overly exagerated). The lights were colored according to their light temperature (available in the dataset), while the 25 most common kinds of trees were colored by species.

The resulting point cloud gives pretty interesting patterns (some of which I've annotated), especially in cemeteries and on the biggest streets. Too bad most of the public parks don't have associated tree data...

And if you don't know it already, I'd definitely advise French speakers to listen at this nicely related song by Maxime Le Forestier: [Comme un arbre](https://www.youtube.com/watch?v=clDxk0Wh--4).

Trees of Paris

* Generator: [DEM Net Elevation API](https://elevationapi.com)
* Mesh reduction: [geometry3Sharp (GradientSpace, Ryan Schmidt) BSL 1.0 License](https://github.com/gradientspace/geometry3Sharp/blob/master/LICENSE)
* Digital Elevation Model: [SRTM_GL3 OpenTopography](https://opentopography.org/)
* Imagery: [MapBox Satellite](https://www.mapbox.com)

GMX 3D SFR

* Generator: [DEM Net Elevation API](https://elevationapi.com)
* Mesh reduction: [geometry3Sharp (GradientSpace, Ryan Schmidt) BSL 1.0 License](https://github.com/gradientspace/geometry3Sharp/blob/master/LICENSE)
* Digital Elevation Model: [SRTM_GL3 OpenTopography](https://opentopography.org/)
* Imagery: [MapBox Satellite Street](https://www.mapbox.com)

Kalimpong

* Generator: [DEM Net Elevation API](https://elevationapi.com)
* Digital Elevation Model: [SRTM_GL3 OpenTopography](https://opentopography.org/)
* Imagery: [MapBox Satellite Street](https://www.mapbox.com)

Beaufort, NC

GEBCO_2019
Satellite Hybrid Provider
Medium quality 15% Mesh reduction
https://elevationapi.com/playground_3dbbox

* Generator: [DEM Net Elevation API](https://elevationapi.com)
* Mesh reduction: [geometry3Sharp (GradientSpace, Ryan Schmidt) BSL 1.0 License](https://github.com/gradientspace/geometry3Sharp/blob/master/LICENSE)
* Digital Elevation Model: [GEBCO Compilation Group (2019) GEBCO 2019 Grid (doi:10.5285/836f016a-33be-6ddc-e053-6c86abc0788e)](https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2019/gebco_2019_info.html)
* Imagery: [MapTiler Cloud Satellite Hybrid](https://www.maptiler.com)

Philippine Map

Puy-de-Dôme

Monte Brento 3

* Generator: [DEM Net Elevation API](https://elevationapi.com)
* Mesh reduction: [geometry3Sharp (GradientSpace, Ryan Schmidt) BSL 1.0 License](https://github.com/gradientspace/geometry3Sharp/blob/master/LICENSE)
* Digital Elevation Model: [TIN Italy](https://doi.org/10.13127/tinitaly/1.1)
* Imagery: [Esri World Imagery](https://services.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer)

Cipressa

**Bird’s Foot Delta — Mississippi River**

This model represents the Bird’s Foot Delta of the Mississippi River in southeastern Louisiana, USA. The delta is characterized by long, narrow distributary channels extending into the Gulf of Mexico, forming a shape that resembles a bird’s foot. The landscape forms as river sediments are transported downstream and deposited where the river meets the ocean, gradually building new land over time.

The terrain model was generated from a 1-meter resolution Digital Elevation Model (DEM) obtained from the United States Geological Survey (USGS) 3D Elevation Program (3DEP) and distributed by OpenTopography.

**Data Source:**
United States Geological Survey (2021). United States Geological Survey 3D Elevation Program 1 meter Digital Elevation Model. Distributed by OpenTopography. https://doi.org/10.5069/G9NP22NT
. Accessed 2026-03-04.

Bird Foot Delta

kalimpong

This 3D model represents the mountain Åreskutan in Åre, Sweden. The terrain has been generated from a digital elevation model and converted into a printable/visual 3D mesh that highlights the natural topography of the mountain, including its ridges, slopes, and valleys.

The model was created using elevation data from Markhöjdmodell Nedladdning, Grid 50+ provided by Lantmäteriet (the Swedish Mapping, Cadastral and Land Registration Authority). The dataset is available under the Creative Commons license, which allows reuse with attribution.

The purpose of this model is to visualize the terrain of Åreskutan in a simplified physical form, suitable for 3D printing, visualization, or educational use.

Data source:
Markhöjdmodell Nedladdning, Grid 50+ — Lantmäteriet
License: Creative Commons (with attribution)

Location: Åre, Jämtland County, Sweden
Type: Terrain / Digital Elevation Model (DEM) converted to 3D mesh

Åreskutan

Monte Brento 5

A low ploy reconstruction of Mars' global topography, built from orbital elevation data collected by the HRSC-MOLA Blended Digital Elevation Model, a dataset produced by the U.S. Geological Survey's Astrogeology Science Center.

Mars Terrain Map

dasdfgh

* Generator: [DEM Net Elevation API](https://elevationapi.com)
* Mesh reduction: [geometry3Sharp (GradientSpace, Ryan Schmidt) BSL 1.0 License](https://github.com/gradientspace/geometry3Sharp/blob/master/LICENSE)
* Digital Elevation Model: [SRTM_GL3 OpenTopography](https://opentopography.org/)
* Imagery: [MapBox Satellite Street](https://www.mapbox.com)

elevation

Monte Brento 2

* Generator: [DEM Net Elevation API](https://elevationapi.com)
* Mesh reduction: [geometry3Sharp (GradientSpace, Ryan Schmidt) BSL 1.0 License](https://github.com/gradientspace/geometry3Sharp/blob/master/LICENSE)
* Digital Elevation Model: [SRTM_GL3 OpenTopography](https://opentopography.org/)
* Imagery: [MapTiler Cloud Satellite](https://www.maptiler.com)

Naples

* Generator: [DEM Net Elevation API](https://elevationapi.com)
* Digital Elevation Model: [SRTM_GL3 OpenTopography](https://opentopography.org/)
* Imagery: [MapBox Satellite Street](https://www.mapbox.com)
* Data: [OpenStreetMap and Contributors](http://www.openstreetmap.org)

paracale

Princess island

* Generator: [DEM Net Elevation API](https://elevationapi.com)
* Mesh reduction: [geometry3Sharp (GradientSpace, Ryan Schmidt) BSL 1.0 License](https://github.com/gradientspace/geometry3Sharp/blob/master/LICENSE)
* Digital Elevation Model: [SRTM_GL3 OpenTopography](https://opentopography.org/)
* Imagery: [MapBox Satellite Street](https://www.mapbox.com)
* Data: [OpenStreetMap and Contributors](http://www.openstreetmap.org)

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