Code for the paper - Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City

Process case studies on DEM uncertainty analysis at the Mont-Blanc massif and Northern Patagonian Icefield: Hugonnet et al. (2022).

NZ elevation data freely available to use under an open license.

Estimate the stereoscopic capacity (B/H) of pairs of images from the Pleiades or SPOT6-7 satellites

This repository is associated with our research paper: A Dynamic Blind Zone Simulation and Analysis Model for Roadside LiDAR Sensor Deployment Considering the Full Roadway Terrain and Vehicle Dynamics

Sample a 2.5D Digital Surface Model as a pointcloud.

Projected sunlight intensities for arbitrary building elevations using satellite-derived LIDAR🌞🏡

swisstopo geospatial Python utilities

Tutorial for creating DSM from LiDAR data in R

experiments with terrain

A high resolution Digital Elevation Model of Great Britain

Python-based slippy map tile server that downloads USGS 3DEP LIDAR point clouds, processes them into DSMs and generates tiles. Intended to reveal hidden terrain features (building edges, cliffs) under vegetation in OpenStreetMap iD Editor

Preprocessed and split version of the SSBH remote sensing dataset for building height estimation, including RGB composites, height maps, and building masks with train/valid/test manifests and ready-to-train scripts.