gic-rs-tutorials

Remote sensing tutorials taught at the McGill GIC.

1. PySTAC tutorial

You can access this tutorial in two ways.

1A. Google Colab

Open a notebook in Google Colab. Next, make sure you have the relevant files on your instance. These should include:

• A folder called "data"
• A folder called "img"
• A .py file called "utiles.py"
• A .py file called spectral_indexes.py

If you do not have them:

1. Download them from Mediafire
2. Upload them to the Google Colab

1B. Git Clone

You can also clone this repo directly. In that case:

git clone https://github.com/maybemkl/gic-rs-tutorials.git

You need Jupyter lab or Jupyter notebook to actually run the code. Once you have those installed and a virtuan environment setup, install all the prerequisite packages:

pip install -r requirements.txt

Now you can run the notebook:

jupyter lab 01_pystac.ipynb

2. YOLOv5 for RS tutorial

The Google Colab can be accessed here. This time you only need the image files here. Otherwise you can follow the steps above, except to do:

pip install -r 02_requirements.txt

jupyter lab 02_object_detection_yolov5.ipynb

4. GEE for RS tutorial

This week I recommend just using the Google Colab which you can access here