Video: https://youtu.be/Jn2YndzEoQo
Notebook: https://leafmap.org/notebooks/79_timeseries

Demo:

Full tutorial:

Title: Automated Segmentation of Remote Sensing Imagery with the Segment Anything Model

• Video: https://www.youtube.com/watch?v=45NpHeq1X6I

• Slides: https://bit.ly/TFWG

• GitHub: https://github.com/opengeos/segment-geospatial

GitHub: https://github.com/opengeos/segment-geospatial
Notebook: https://samgeo.gishub.org/examples/box_prompts
Video tutorial: https://youtu.be/ayFgAj23BfI

Table of Contents

• Chapter 1: Introducing GEE and Geemap

• Chapter 2: Creating Interactive Maps

• Chapter 3: Using Earth Engine Data

• Chapter 4: Using Local Geospatial Data

• Chapter 5: Visualizing Geospatial Data

• Chapter 6: Analyzing Geospatial Data

• Chapter 7: Exporting Earth Engine Data

• Chapter 8: Making Maps with Cartoee

• Chapter 9: Creating Timelapse Animations

• Chapter 10: Building Interactive Web Apps

• Chapter 11: Earth Engine Applications

• Blog: https://blog.streamlit.io/creating-satellite-timelapse-with-streamlit-and-earth-engine
• Web App: https://streamlit.gishub.org
• GitHub: https://github.com/giswqs/streamlit-geospatial

App: https://streamlit.gishub.org

GitHub: https://github.com/giswqs/streamlit-geospatial

WhiteboxTools:

• GitHub: https://github.com/jblindsay/whitebox-tools
• Manual: https://www.whiteboxgeo.com/manual/wbt_book/intro.html
• News release: https://www.whiteboxgeo.com/whitebox-geospatial-news/#v2_release

Frontends:

• ArcGIS: https://github.com/giswqs/WhiteboxTools-ArcGIS
• R: https://github.com/giswqs/whiteboxR
• Python: https://github.com/giswqs/whitebox
• Jupyter: https://github.com/giswqs/whiteboxgui
• QGIS: https://www.whiteboxgeo.com/manual/wbt_book/qgis_plugin.html

Video: https://youtu.be/wGjpjh9IQ5I

Notebook: https://geemap.org/workshops/GeoPython_2021

1. Install conda-build using: conda install conda-build
2. Create the conda recipe using: conda skeleton pypi package-name
3. Make changes to the recipe (meta.yaml) by following this example. A few key items to change: add noarch: python under the build section; remove all packages except pip and python from the host section; specify a python version (e.g., >=3.6) for both the host and run sections; add LICENSE, doc_url, and dev_url to the about section; add your GitHub username to the recipe-maintainers section.
4. Fork https://github.com/conda-forge/staged-recipes
5. Add your package recipe to staged-recipes/recipes/package-name/meta.yaml
6. Commit changes and push to GitHub
7. Submit a pull request (e.g., https://github.com/conda-forge/staged-recipes/pull/14285)
8. Wait for the recipe to pass all checks
9. @conda-forge/help-python to let them know that your recipe is ready for review.
10. Once your recipe is accepted, your package feedstock should become available within a few hours (e.g., geodemo-feedstock).
11. The link to your package on conda-forage should be https://anaconda.org/conda-forge/package-name, such as https://anaconda.org/conda-forge/geodemo

MapScaping Podcast: https://mapscaping.com/blogs/the-mapscaping-podcast/introducing-google-earth-engine

Apple Podcast: https://apple.co/2P9s4UL

Google Podcast: https://bit.ly/3d0qPQn

Extensions:

• GitLens
• Jupyter
• Kite AutoComplete
• Markdown Shortcuts
• Material Icon Theme
• Prettier - Code formatter
• Pylance
• Python
• Python Docstring Generator
• RST Preview
• Visual Studio IntelliCode

Keyboard shortcuts

1. Command Palette: Ctrl+Shift+P
2. Search and open a file: Ctrl+P
3. Go to Symbol: Ctrl+Shift+O
4. Move line up and down: Alt+Arrow up/down
5. Go to line number: Ctrl+G
6. Cut the Entire Line: Ctrl+X
7. Select the entire line: Triple-clicking at the line of the line
8. Markdown preview: Ctrl+K V
9. Zen Mode: View > Appearance > Toggle Zen Mode
10. Split view: View > Editor Layout > Split Up
11. Edit multiple lines simultaneously: Hold Alt and click to add a cursor in the places you want to type or edit the code.

References

• Visual Studio keyboard shortcuts for Windows
• Visual Studio keyboard shortcuts for macOS

1. Scratchpad Notebook: https://colab.research.google.com/notebooks/empty.ipynb
2. Open Notebooks from GitHub: simply replace github.com with githubtocolab.com. It will redirect you to a Colab notebook.
3. Timing Execution of Cell: hover over the cell run icon and you will get an estimate of the execution time taken
4. Run part of a cell: Click Runtime -> Run Selection button or using the keyboard shortcut Ctrl + Shift + Enter
5. Most commonly used shortcuts:
   • Run cell (Ctrl + Enter)
   • Run cell and add new cell below (Alt + Enter)
   • Run cell and goto the next cell below (Shift + Enter)
   • Comment current line (Ctrl + /)
6. Jupyter Notebook Keyboard Shortcuts: Click Tools -> Keyboard shortcuts or Just add Ctrl + M before whatever keyboard shortcut you were using in Jupyter. For example
   • add a cell above (Ctrl + M + A)
   • Add a cell below (Ctrl + M + B)
   • Change cell to code (Ctrl + M + Y)
   • Change cell to markdown (Ctrl + M + M)
7. Jump to Class definition: press Ctrl and then clicking a class name
8. Run bash commands:
   • Download dataset from the web with !wget <ENTER URL>
   • Install libraries with !pip install <LIBRARY>
   • Clone a git repository with !git clone <REPOSITORY URL>
   • Change directory with !cd
9. Mount your Google Drive to Colab:

   from google.colab import drive
   drive.mount('/content/gdrive')
   

10. To upload a file (or several) from your computer, run:

    from google.colab import files
    files.upload()
    

11. To download a file, run:

    from google.colab import files
    files.download('path/to/your/file')
    

12. Run R programs in Google Colab: You can use R programming language in Google Colab by going to https://colab.to/r. It will open a new notebook with R set as the kernel instead of Python.
13. “Open in Colab” Badge: You can add a ‘Open in Colab’ badge to your README.md or jupyter notebooks using the following markdown code: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/notebooks/basic_features_overview.ipynb)
14. Run Rust programs in Google Colab: Go to https://colab.to/rust. Then rust the first cell. Reload the page. Skip the first and run other cells, or write your own codes.

References:

• Google Colab Tips for Power Users
• 10 tricks for a better Google Colab experience

Video: https://youtu.be/ejuugljSut4

Video: https://youtu.be/3dS2EkAuAxM

Video: https://youtu.be/t24_lpYA1ko

Video: https://youtu.be/qwXZDSbfyE8