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1. 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 estima…

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2. 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".

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

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4. This repository contains the code used to create the results presented in the paper: "From Coarse to Fine-Grained Open-Set Recognition". We investigate the role of label granularity, semantic simil…

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6. Tutorial: Machine Learning for Environmental and Geosciences (MLEG)

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