Havi-muro/satellie-img-course

satellie img course

course

• Course website using quarto
• Goal: create MVP course ASAP by keeping contributing simple and enabling reuse of existing material as much as possible
• Each chapter is a markdown file that can contain links to videos, presentations and notebooks.
• Note the .qmd file format is Quarto flavour of markdown.
• Notebooks should be self contained by including a cell for installing requirements, and runnable on Google colab

Contributing

Contributions are welcome! Each chapter has an Issue on this repository, feel free to comment on these issues and if you decided to work on a chapter, assign the relevant issue to yourself. Then create a fork of this repository with your changes and make a pull request. Note that notebooks must be runnable in the Google Colab environment. Useful links below:

• Markdown Basics
• Quarto VS Code Extension

Using Quarto

• Either use the CLI or the tools in VSCode
• To preview the website in the browser: quarto preview

Other courses

Whilst this course is under development, you are encouraged to check out these other courses

• Introduction to Geospatial Raster and Vector Data with Python -> an intro course on a single page
• Manning: Monitoring Changes in Surface Water Using Satellite Image Data
• Automating GIS processes includes a lesson on automating raster data processing
• For deep learning checkout the fastai course which uses the fastai library & pytorch
• pyimagesearch.com hosts courses and plenty of material using opencv and keras
• Official opencv courses on opencv.org
• TensorFlow Developer Professional Certificate
• Geospatial_Python_CourseV1 -> a collection of blog posts turned into a course format
• Satellite Machine Learning Training -> lessons on how to apply Machine Learning analysis to satellite data
• DL-for-satellite-image-analysis -> short and minimalistic examples covering fundamentals of Deep Learning for Satellite Image Analysis using Jupyter notebooks, created by lakmalnd
• Machine Learning on Earth Observation: ML4EO Bootcamp
• Deep Learning DIY
• UvA Deep Learning Tutorials
• Practical Data Science Specialization -> AWS specific, develop and scale your data science projects into the cloud using Amazon SageMaker
• Disaster Risk Monitoring Using Satellite Imagery by NVIDIA
• Course materials for: Geospatial Data Science
• Data-Science-For-Beginners -> by Microsoft
• AI-For-Beginners -> by Microsoft
• Remote Sensing Tutorials -> by the Canada Centre for Mapping and Earth Observation
• RUS Copernicus Training
• Practical Deep Learning for Coders -> the popular course by Jeremy Howard using fast.ai
• engn3903 -> Environmental Sensing, Mapping and Modelling
• PyTorch Fundamentals -> 4 hour course by Microsoft
• pytorch-deep-learning -> Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course
• Materials for the USGS "Deep Learning for Image Classification and Segmentation" CDI workshop, 2020
• DL4RS -> Deep Learning for Remote Sensing tutorial by Bertrand Le Saux