Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…

Deep learning applied to georeferenced datasets

A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

PyCrown - Fast raster-based individual tree segmentation for LiDAR data

Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery

Find, Download and Process Sentinel-2 Data

Pytorch framework for doing deep learning on point clouds.

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

Tree delineation from lidar using mean shift clustering

Airborne LiDAR data manipulation and visualisation for forestry application