https://github.com/simonpf/at652
Lectures on machine learning for remote sensing given as part of AT652 at Colorado State University
https://github.com/simonpf/at652
Last synced: 15 days ago
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Lectures on machine learning for remote sensing given as part of AT652 at Colorado State University
- Host: GitHub
- URL: https://github.com/simonpf/at652
- Owner: simonpf
- Created: 2024-10-29T01:10:17.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-29T01:18:39.000Z (over 1 year ago)
- Last Synced: 2024-10-29T02:21:13.836Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 1.95 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AT652: Machine learning for remote sensing
This repository contains the lecture slides and source code for the "Machine Learning for Remote Sensing" lectures of AT652.
## Setting up your compute environment
### Obtain the lecture notebooks
``` shellsession
git clone https://github.com/simonpf/at652
```
### Create a new conda environment
In order to run the interactive lecture slides, you will need to install a limited number of Python packages. In order to avoid conflicts with the existing compute environment it is recommeded to create a new conda environment and install the dependencies in there.
``` shellsession
conda create --name at652 python=3.11
conda activate at652
```
### Install the at652 package.
``` shellsession
cd at652
pip install .
```
## Running the lectures on Google Colab
- [Lecture 1](https://colab.research.google.com/github/simonpf/at652/blob/main/notebooks/introduction.ipynb)
- [Example 1: MLP precipitation retrieval](https://colab.research.google.com/github/simonpf/at652/blob/main/notebooks/precipitation_retrieval_mlp.ipynb)
- [Lecture 2](https://colab.research.google.com/github/simonpf/at652/blob/main/notebooks/introduction.ipynb)
- [Example 2: U-net precipitation retrieval](https://colab.research.google.com/github/simonpf/at652/blob/main/notebooks/precipitation_retrieval_unet.ipynb)