GeFolki is a coregistration algorithm develop at ONERA in Medusa project

official source code for paper entitled "Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning"

A Python package to super-resolve Sentinel-2 satellite imagery up to 2.5 meters.

Global machine learning glacier mass balance model, capable of assimilating all sources of glaciological and remote sensing data

Mapping Fractional Vegetation Cover (FVC) components by introducing a CNN-based deep learning approach for UAS imagery

A way to promote Raise theHDR StipendSign

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Python scripts used in Agisoft Metashape Pro to process RGB and multispectral (DJI Zenmuse P1 and MicaSense RedEdge-MX/Dual) imagery collected using DJI Matrice 300 RTK platform.

This repository contains the data and scripts associated with Pervin et al. "Fusion of airborne hyperspectral and LiDAR canopy-height data for estimating fractional cover of tall woody plants, herb…

Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray

Simple example to illustrate machine learning concept

A java data server demo