Discover langnico/global-canopy-height-model Open Source project

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Python
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langnico

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This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.

GEDI-BDL

This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".

Python

DL_tutorial_RS

Introduction to convolutional neural networks (CNNs) with a remote sensing example.

Jupyter Notebook

GRAINet

Jupyter Notebook

MLEG_tutorial

Tutorial: Machine Learning for Environmental and Geosciences (MLEG)

Jupyter Notebook

DL_tutorial