langnico

global-canopy-height-model

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".

DL_tutorial_RS

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

GRAINet

MLEG_tutorial

Tutorial: Machine Learning for Environmental and Geosciences (MLEG)

DL_tutorial

Introduction to CNNs

globalcanopyheight

belongielab.github.io

Lab Website

fine-grained-osr

Project webpage for "From Coarse to Fine-Grained Open-Set Recognition"

langnico.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

MultiMAE

MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022